Institut für Landwirtschaftliche Betriebslehre

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Climate on the edge: impacts and adaptation in Ethiopia’s agriculture
(2025) Feleke, Hirut Getachew; Amdie, Tesfaye Abebe; Rasche, Frank; Mersha, Sintayehu Yigrem; Brandt, Christian; Younos, Tamim; Lee, Juneseok; Parece, Tammy E.
Climate change poses a significant threat to Ethiopian agriculture, impacting both cereal and livestock production through rising temperatures, erratic rainfall, prolonged droughts, and increased pest and disease outbreaks. These challenges intensify food insecurity, particularly for smallholder farmers and pastoralists who rely on climate-sensitive agricultural systems. This systematic review aims to synthesize the impacts of climate change on Ethiopian agriculture, with a specific focus on cereal production and livestock feed quality, while exploring effective adaptation strategies that can support resilience in the sector. The review synthesizes 50 peer-reviewed publications (2020–2024) from the Climate Change Effects on Food Security project, which supports young African academics and Higher Education Institutions (HEIs) in addressing Sustainable Development Goals (SDGs). Using PRISMA guidelines, the review assesses climate change impacts on major cereal crops and livestock feed in Ethiopia and explores adaptation strategies. Over the past 30 years, Ethiopia has experienced rising temperatures (0.3–0.66 °C), with future projections indicating increases of 0.6–0.8 °C per decade resulting in more frequent and severe droughts, floods, and landslides. These shifts have led to declining yields of wheat, maize, and barley, shrinking arable land, and deteriorating feed quality and water availability, severely affecting livestock health and productivity. The study identifies key on-the-ground adaptation strategies, including adjusted planting dates, crop diversification, drought-tolerant varieties, soil and water conservation, agroforestry, supplemental irrigation, and integrated fertilizer use. Livestock adaptations include improved breeding practices, fodder enhancement using legumes and local browse species, and seasonal climate forecasting. These results have significant practical implications: they offer a robust evidence base for policymakers, extension agents, and development practitioners to design and implement targeted, context-specific adaptation strategies. Moreover, the findings support the integration of climate resilience into national agricultural policies and food security planning. The Climate Change Effects on Food Security project’s role in generating scientific knowledge and fostering interdisciplinary collaboration is vital for building institutional and human capacity to confront climate challenges. Ultimately, this review contributes actionable insights for promoting sustainable, climate-resilient agriculture across Ethiopia.
Comparing meat and meat alternatives: An analysis of nutrient quality in five European countries
(2023) Petersen, Thies; Hirsch, Stefan
Objective: To assess and compare the (macro-)nutritional composition of red meat (RM) and poultry meat (PM) products with the emerging category of meat substitutes. Design: We use information on nutritional values per 100 g to estimate the differences in the nutritional composition between RM, PM, vegan meat substitute (VMS) and non-vegan meat substitute (NVMS) and derive six unique meat product clusters to enhance the comparability. Setting: Meat markets from five major European countries: France, Germany, UK, Italy and Spain. Participants/Data: Product innovation data for 19 941 products from Mintel’s Global New Product Database from 2010 to 2020. Results: Most of the innovations in the sample are RM products (55 %), followed by poultry (30 %), VMS (11 %) and NVMS (5 %). RM products exhibit a significantly higher energy content in kcal/100 g as well as fat, saturated fat, protein and salt all in g/100 g than the meatless alternatives, while the latter contain significantly more carbohydrates and fibre than either poultry or RM. However, results differ to a certain degree when products are grouped into more homogeneous clusters like sausages, cold cuts and burgers. This indicates that general conclusions regarding the health effects of substituting meat with plant-based alternatives should only be drawn in relation to comparable products. Conclusions: Meat substitutes, both vegan and non-vegan, are rated as ultra- processed foods. However, compared with RM products, they and also poultry products both can provide a diet that contains fewer nutrients-to-limit, like salt and saturated fats.
Digital maturity of administration entities in a state-led food certification system using the example of Baden-Württemberg
(2025) Francksen, Sabrina; Ghaziani, Shahin; Bahrs, Enno; Okpala, Charles Odilichukwu R.
Digital transformation is increasingly relevant in food certification systems, improving processes, coordination, and data accessibility. In state-led certification systems, public entities hold a political mandate to promote digital transformation, yet little is known about digital maturity in these systems or how to assess it. This study assesses the digital maturity of a state-led food certification system in Baden-Württemberg, Germany, focusing on private sector stakeholders involved in its administration. Additionally, it examines potential measures that the governing public entity can take and evaluates the suitability of the methods used. A total of 25 out of 43 organisations were surveyed using the Digital Maturity Assessment (DMA) framework validated for the European Union (EU). Six dimensions were analysed: Digital Business Strategy, Digital Readiness, Human-Centric Digitalisation, Data Management, Automation and Artificial Intelligence, and Green Digitalisation. Data Management and Human-Centric Digitalisation were the most developed, highlighting strong data governance and workforce engagement. Automation and Artificial Intelligence were ranked lowest, reflecting minimal adoption but also indicating that not all dimensions might be of the same relevance for the variety of organisations. The variability in scores and organisation-specific relevance underscores the European DMA framework’s value, particularly due to its subsequent tailored consultation process and its integration into EU policy.
Factors influencing the adoption of agricultural machinery by Chinese maize farmers
(2021) Quan, Xiuhao; Doluschitz, Reiner
As the major labor force has shifted from rural areas to cities, labor shortages in agricultural production have resulted. In the context of technical progress impact, and depending on farm resource endowments, farmers will choose effective labor saving technology such as machinery to substitute for the missing manual labor. The reasons behind farmers’ adoption of machinery technology are worth exploring. Therefore, this study uses 4165 Chinese maize farmers as the target group. Multivariate probit models were performed to identify the factors that affect maize farmers’ adoption of four machinery technologies as well as the interrelation between these adoption decisions. The empirical results indicate that maize sowing area, arable land area, crop diversity, family labor, subsidy, technical assistance, and economies of scale have positive effects on machinery adoption, while the number of discrete fields in the farm has a negative impact. Maize farmers in the Northeast and North have higher machinery adoption odds than other regions. The adoption of these four machinery technologies are interrelated and complementary. Finally, moderate scale production, crop diversification, subsidizing agricultural machinery and its extension education, and land consolidation, are given as recommendations for promoting the adoption of agricultural machinery by Chinese maize farmers.
Household food waste quantification and cross-examining the official figures: A study on household wheat bread waste in Shiraz, Iran
(2022) Ghaziani, Shahin; Ghodsi, Delaram; Schweikert, Karsten; Dehbozorgi, Gholamreza; Faghih, Shiva; Mohabati, Shabnam; Doluschitz, Reiner
The global consumer food waste (FW) estimates are mainly based on modeling data obtained from governments. However, a major data gap exists in FW at the household level, especially in developing countries. Meanwhile, the reliability of the existing data is questionable. This study aimed to quantify wheat bread waste (HBW) in Shiraz, Iran, and cross-examine the governmental HBW data. Face-to-face waste recall questionnaire interviews were conducted in 419 households from December 2018 to August 2019. A multistage sampling strategy consisting of stratification, clustering, and systematic sampling was employed. Moreover, we carried out a comprehensive document review to extract and analyze the official HBW data. The results revealed that the HBW in Shiraz is 1.80%—the waste amounts for traditional bread and non-traditional bread were 1.70% and 2.50%, respectively. The survey results were compared with the previous official data, revealing a substantial contradiction with the 30% HBW reported between 1991 and 2015. Possible reasons for this disparity are explored in this paper. Although our results cannot be generalized to other food commodities and locations, our findings suggest that considering the substantial likelihood of bias in the official data, policymakers should conduct more FW measurements and re-evaluate the accuracy of the existing data.
How effective and efficient is the generation of nature-based carbon removal quantified according to the regulation on carbon removal and carbon farming certification? An evaluation based on the example of a hypothetical agroforestry system in Baden-Württemberg
(2025) Geier, Cecilia Roxanne; Angenendt, Elisabeth; Bahrs, Enno; Sponagel, Christian
Nature-based carbon removal (CR) could play a key role in achieving climate neutrality but it does face quantification challenges. This study evaluates the effectiveness and efficiency of CR quantification under the Carbon Removals and Carbon Farming (CRCF) Regulation, using Baden-Württemberg (Germany) as a case study. We designed a hypothetical agroforestry system for valuable timber production compliant with the CRCF requirements, modelling potential GHG emission reductions and the benefit-potential ratio (share of the CRCF-compliant net CR benefit within the total GHG emission mitigation potential). The results revealed a significant shortfall between the total GHG mitigation potential (350 kt CO2eq) and the actual net CR benefit (205 kt CO2eq), representing only 5 % of BW’s agricultural emissions. The benefit-potential ratio was at most 59 %, with abatement costs ranging from €59 to €153 t CO2eq-1. Conservative estimates to improve reliability further lowered the ratio to 24 %, pushing costs to €244 t CO2eq-1. While agroforestry does manifest regional CR generation potential, it is unlikely to contribute significantly to large-scale CR under the current CRCF framework, as both flaws within its quantification base and the inherent properties of nature-based CR limit its effectiveness. Although transferability is restricted by focusing on valuable timber production in BW, our results highlighted the need for harmonized emission factors, system boundary definitions (particularly indirect land use change), and a clear distinction between CR (e.g., from carbon sequestration in soils) and reduced soil emissions. We advocate balancing the use of agroforestry with more durable CR strategies and imposing caps on nature-based CR contributions to ensure robust climate action.
Identifying loss and waste hotspots and data gaps throughout the wheat and bread lifecycle in the Fars province of Iran through value stream mapping
(2023) Ghaziani, Shahin; Dehbozorgi, Gholamreza; Bakhshoodeh, Mohammad; Doluschitz, Reiner
Reducing wheat and bread loss and waste is crucial for ensuring global food security and sustainability. The importance of reducing wheat and bread loss is particularly significant in Iran, where wheat is a staple crop and a vital component of the country’s food security. A value stream mapping study was conducted to identify loss and waste hotspots and critical data gaps along the wheat and bread lifecycle (WBL). In October 2018, 14 experts were surveyed in Fars province, Iran’s second-largest wheat producer. The study presents a detailed cradle-to-grave overview of WBL and identifies farms, foodservice, and households as the loss and waste hotspots. The results revealed significant data gaps regarding on-farm wheat loss and household bread waste. Additionally, although data exist in other segments of WBL, they are not readily accessible nor utilized to report loss and waste, highlighting the need for transparency within the WBL system and further research to compile existing data and analyze wheat and bread loss and waste. Other researchers can employ the holistic approach of the present study to investigate loss and waste throughout the lifecycle of other food items in different geographical contexts. The methodology adopted in this study offers advantages for defining the scope of research in lifecycle assessment and circular economy studies.
Implications of large‐scale miscanthus cultivation in water protection areas: A Life Cycle Assessment with model coupling for improved policy support
(2022) Weik, Jan; Lask, Jan; Petig, Eckart; Seeger, Stefan; Marting Vidaurre, Nirvana; Wagner, Moritz; Weiler, Markus; Bahrs, Enno; Lewandowski, Iris; Angenendt, Elisabeth
Two major global challenges related to agriculture are climate change and the unbalanced nitrogen cycle. For both, national and international reduction targets have been defined to catalyse policy support for more sustainable farming systems. Miscanthus cultivation in water protection areas has been proposed as a contribution to achieving these targets. However, a thorough understanding of the underlying system dynamics at various spatial levels is required before recommendations for policy development can be provided. In this study, a model framework was established to provide economic and environmental indicator results at regional and sub‐regional levels. It presents a consequential Life Cycle Assessment coupled with an agro‐economic supply model (Economic Farm Emission Model) that simulates crop and livestock production, and an agricultural hydrology model (DAISY) that assesses effects on the nitrogen cycle. The framework is applied to Baden‐Württemberg, a federal state in southwest Germany with eight agro‐ecological regions. Scenarios investigating the differences between mandatory and voluntary miscanthus cultivation were also explored. While the results show the high potential of miscanthus cultivation for the reduction of greenhouse gas emissions (−16% to −724%), the potential to reduce nitrate leaching (−4% to −44%) is compromised in some sub‐regions and scenarios (+4% to +13%) by substantial effects on the crop rotation. Furthermore, the cultivation of miscanthus reduces gross margins in most sub‐regions (−0.1% to −9.6%) and decreases domestic food production (−1% to −50%). However, in regions with low livestock density and high yields, miscanthus cultivation can maintain or increase farmers' income (0.1%–5.8%) and improve environmental protection. The study shows that the heterogeneity of arable land requires a flexible promotion programme for miscanthus. Voluntary cultivation schemes were identified as most suitable to capture sub‐regional differences. Policies should address the demand for miscanthus, for example, support the development of regional value chains, including farmers, water suppliers and the biobased industry.
Markups and export behavior: Firm‐level evidence from the French food processing industry
(2022) Jafari, Yaghoob; Koppenberg, Maximilian; Hirsch, Stefan; Heckelei, Thomas
The relationship between a firm's markups and its export behavior is highly relevant to individual firms' strategic decisions as well as to governments' policies regarding competition. We investigate the impact of markups on firms' decisions to export and resulting export intensity in the French food processing industry. Moreover, we assess the effect of entry into and remaining in the export market on firms' markups and evaluate differences in markups between exporters and non‐exporters. Our results suggest that higher markups lead to both increased participation in the export market and greater export intensity. In addition, we find that firms obtain higher markups by entering and remaining in the export market. Finally, our results suggest that exporters generate higher markups, on average, than non‐exporters. Similar results are found when controlling for differences in firms' productivity. Our findings suggest that trade policies designed to increase firms' participation in export markets, such as limits to border restrictions, may counteract domestic competition policies targeted at price–cost margins.
Mineral-ecological cropping systems mitigate biodiversity-productivity trade-offs of the organic vs. conventional farming dichotomy
(2024) Kasten, Marit Kinga; Witte, Felix; Sponagel, Christian; Bahrs, Enno; Köhler, Thomas; Morinière, Jérôme; Grass, Ingo
Conventional agriculture significantly reduces biodiversity, while organic farming promotes it, but often yields half as much. Addressing this biodiversity-productivity trade-off is crucial for future agriculture. Mineral-ecological cropping systems (MECS) have been suggested as an alternative, blending organic and conventional methods by avoiding chemical-synthetic pesticides and using mineral fertilizers. In a German experiment with 168 parcels, we compared MECS, conventional, and organic systems in terms of ecological and economic performance. Arthropod diversity was measured through standardized species collections and DNA-metabarcoding. Productivity was assessed via yields and economic profits. MECS showed similar arthropod diversity to other farming systems, achieved 90% of conventional crop yields, and produced 1.8 times of the organic yield. Profits from MECS were on average 37% higher than the conventional system with a short wheat-maize-soy crop rotation. Further farm-level studies are needed, but MECS could be a reasonable alternative to both organic and conventional farming and can mitigate biodiversity-productivity trade-offs.
The need for consumer-focused household food waste reduction policies using dietary patterns and socioeconomic status as predictors: a study on wheat bread waste in Shiraz, Iran
(2022) Ghaziani, Shahin; Ghodsi, Delaram; Schweikert, Karsten; Dehbozorgi, Gholamreza; Rasekhi, Hamid; Faghih, Shiva; Doluschitz, Reiner
Current household food waste (HFW) reduction plans usually focus on raising consumer awareness, which is essential but insufficient because HFW is predominantly attributed to unconscious behavioral factors that vary across consumer groups. Therefore, identifying such factors is crucial for predicting HFW levels and establishing effective plans. This study explored the role of dietary patterns (DP) and socioeconomic status (SES) as predictors of HBW using linear and non-linear regression models. Questionnaire interviews were performed in 419 households in Shiraz during 2019. A multilayer sampling procedure including stratification, clustering, and systematic sampling was used. Three main DPs, i.e., unhealthy, Mediterranean, and traditional, were identified using a food frequency questionnaire. Results indicated that a one-unit rise in the household’s unhealthy DP score was associated with an average increase in HBW of 0.40%. Similarly, a one-unit increase in the unhealthy DP score and the SES score increased the relative likelihood of bread waste occurrence by 25.6% and 14.5%, respectively. The comparison of findings revealed inconsistencies in HFW data, and therefore the necessity of studying HFW links to factors such as diet and SES. Further investigations that explore HFW associations with household characteristics and behavioral factors will help establish contextual and effective consumer-focused plans.
Pathways for biodiversity enhancement in German agricultural landscapes
(2025) Sponagel, Christian; Thompson, Amibeth; Paetow, Hubertus; Mupepele, Anne‐Christine; Bieling, Claudia; Sommer, Martin; Klein, Alexandra‐Maria; Settele, Josef; Finger, Robert; Huber, Robert; Albert, Christian; Filser, Juliane; Jansen, Florian; Kleemann, Janina; Schreiner, Vera; Lakner, Sebastian; Sponagel, Christian; Department of Farm Management, University of Hohenheim, Stuttgart, Germany; Thompson, Amibeth; Nature Conservation and Landscape Ecology, University of Freiburg, Freiburg, Germany; Paetow, Hubertus; DLG e.V.—German Agricultural Society, Frankfurt am Main, Germany; Mupepele, Anne‐Christine; Department of Biology—Animal Ecology, University of Marburg, Marburg, Germany; Bieling, Claudia; Department of Societal Transition and Agriculture, University of Hohenheim, Stuttgart, Germany; Sommer, Martin; Deutscher Verband für Landschaftspflege (DVL)—Landcare Germany, Ansbach, Germany; Klein, Alexandra‐Maria; Nature Conservation and Landscape Ecology, University of Freiburg, Freiburg, Germany; Settele, Josef; German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, Leipzig, Germany; Finger, Robert; Agricultural Economics and Policy, ETH Zürich, Zürich, Switzerland; Huber, Robert; Agricultural Economics and Policy, ETH Zürich, Zürich, Switzerland; Albert, Christian; Institute of Environmental Planning, Leibniz University Hannover, Hannover, Germany; Filser, Juliane; Center for Environmental Research and Sustainable Technology (UFT), University of Bremen, Bremen, Germany; Jansen, Florian; Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany; Kleemann, Janina; German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, Leipzig, Germany; Schreiner, Vera; Department of Sustainable Landscape Development, Institute for Geosciences and Geography, Martin‐Luther University Halle‐Wittenberg, Halle, Germany; Lakner, Sebastian; Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany
Conserving biodiversity, especially in agricultural landscapes, is a major societal challenge. Broad scientific evidence exists on the impacts of single drivers on biodiversity, such as the intensification of agriculture. However, halting biodiversity decline requires a systemic understanding of the interactions between multiple drivers, which has hardly been achieved so far. Selecting Germany as a case study, the goal of our analysis is (i) to understand how various socio‐economic drivers of biodiversity in agricultural landscapes interact at the national scale, (ii) to identify plausible pathways that most likely will lead to an improvement of biodiversity in agricultural landscapes and (iii) to discuss guiding principles for policy‐making based on the pathways. We applied the expert‐based Cross‐Impact‐Balance (CIB) methodology to the German agri‐food system (target year 2030). Seven descriptors that represent the most relevant socio‐economic drivers of biodiversity (here, we focus on species richness) in agricultural landscapes in Germany were defined. In three workshops with different groups of experts, we assessed all the interactions and impacts between these descriptors. From the workshops, seven overlapping scenarios were identified and aggregated into four main future pathways for enhancing biodiversity in agricultural landscapes. These pathways are: (1) ‘Innovation and stricter legislation’, (2) ‘Major change in protein production and CAP shift’, (3) ‘Major change in protein production and national legislation’ and (4) ‘Major social changes compensate for a lack of innovation in food production’. Socio‐economic drivers interact to varying degrees. Societal values have a strong active influence on the system, e. g. agricultural policy, whereas the orientation and objectives of agriculture, e. g. focus on public goods, are rather passively determined. Conserving biodiversity thus depends upon the evolution of societal values, European and national nature conservation and agricultural policies, innovations in plant and protein production as well as on global commodity markets. A key message for policymakers is that there are generally different, complementary options for achieving the objective of improving biodiversity. This is important when specific drivers such as the CAP cannot be steered in a particular desired direction.
Setting life cycle assessment (LCA) in a future-oriented context: the combination of qualitative scenarios and LCA in the agri-food sector
(2022) Voglhuber-Slavinsky, Ariane; Zicari, Alberto; Smetana, Sergiy; Moller, Björn; Dönitz, Ewa; Vranken, Liesbet; Zdravkovic, Milena; Aganovic, Kemal; Bahrs, Enno
By combining qualitative scenarios and life cycle assessment (LCA), we place the latter in a larger context. This study outlines the importance of the integration of future perspectives into LCA, and also the significance of taking changes in the environment of technology into account, rather than just technological development itself. Accordingly, we focused on adapting the background system of an attributional LCA in the agri-food sector. The proposed technology was assumed not have evolved in the considered time horizon. In this context, the objectives of this paper were twofold: (i) to methodologically prove the applicability of integrating qualitative scenarios into LCA and (ii) to focus on changes in the background system, which is sometimes overlooked in the context of future-oriented LCA. This allowed to evaluate the future potential of different technologies, assessing their environmental impact under uncertain future developments. Methodologically, the qualitative information from scenarios was transformed into quantitative data, which was successively fed into the life cycle inventory (LCI) of the LCA approach. This point of integration into the second phase of LCA translates into future changes in the entire environment in which a technology is used. This means that qualitatively described scenario narratives need to be converted into value estimates in order to be incorporated into the LCA model. A key conclusion is that changes in the background of an LCA—the changing framework expressed through the inventory database—can be very important for the environmental impact of emerging technologies. This approach was applied to a food processing technology to produce apple juice. The proposed methodology enables technology developers to make their products future-proof and robust against socioeconomic development. In addition, the market perspective, if spelled out in the scenarios, can be integrated, leading to a more holistic picture of LCA with its environmental focus, while simultaneously empowering actors to make the right strategic decisions today, especially when considering the long investment cycles in the agri-food sector.
Shared digital agricultural technology on farms in Southern Germany-analysing farm and socio-demographic characteristics in an inter-farm context
(2025) Gscheidle, Michael; Petersen, Thies; Doluschitz, Reiner
Introduction: Up till now, digitalisation in agriculture has almost only been discussed in the context of large farms. However, sooner or later, ongoing digitalisation will reach the agricultural sector as a whole. Indeed, even smaller farms can also benefit from the opportunity and make profitable use of digital agricultural technology by adopting inter-farm organisational forms e.g. collaboration between farmers or contractor services. This article seeks to gain a better understanding of the digital transformation process and to validate relevant forecasts by analysing farm and socio-demographic characteristics that have a possible influence on the likelihood of inter-farm use of digital agricultural technology in general and regardless of the organisational form. Methodological approach: Univariate analysis approaches and bivariate analysis approaches were selected to describe the sample. A binary regression analysis was used to analyse the results of a written online survey of farmers from southern Germany. The characteristics listed in hypotheses H1 to H10 serve as a theory-based conceptual framework for the statistical analysis within the binary logistic regression model. Results: The results of this study are based on a survey sample of 165 farmers, 36.4 % (n=60) of whom use digital agricultural technology on an inter-farm basis. The sample covers n=89 farms from Baden-Württemberg and n=76 from Bavaria. Most of the farmers (87.3 %) considered themselves perfectly capable of using digital technologies confidently after it had been explained to them once (x̅=2.52, s=1.02, scale: 1=completely true to 6=not true at all), with 38.2 % of them using digital agricultural technology across farms, that means they use digital agricultural technology together. Certain factors which can influence the likelihood of inter-farm use of digital agricultural technology in small-scale regions were identified using the binary logistic regression model to analyse the relevant operational and socio-demographic characteristics. Using this methodological approach, eight predictors were identified, three of which have a positive influence on the likelihood of inter-farm use of digital agricultural technology: the availability of two external labourers, the farm's focus on “finishing” or on “other” activities such as taking horses at livery or fattening livestock. Farms that have less than 200 hectares, have no clear succession plan, or whose farm managers are under 30 years old are less likely to use inter-farm digital agricultural technology. Conclusions: In this study, several influencing factors were identified that can play a role in the shared use of digital agricultural technology, especially between farmers in small-scale regions in southern Germany. The empirical results obtained from the binary logistic regression show both positive and negative influences on the likelihood of inter-farm use of digital agricultural technology. Forms of cooperation between farmers play a central role in the establishment and use of capital-intensive digital agricultural systems on farms in southern Germany. The study therefore emphasises that the widespread and economical use of digital agricultural technology in small-scale regions can be achieved quickly, especially through established collaborations between farmers and other stakeholders such as machinery rings or agricultural contractors.
“Smart support for fruit farm business decision-making: A framework for digital controlling adoption”
(2025) Müller, Luis; Luer, Robert; Lentz, Wolfgang
Decision-makers in horticultural enterprises face significant challenges, including structural changes toward fewer and larger enterprises, increasing weather extremes, skilled labor shortages, and increasing sustainability demands. Addressing these challenges requires the use of effective business management instruments. However, initial research suggests that controlling is practiced infrequently and with limited intensity in the sector. This study investigates barriers to and drivers of the adoption of controlling, focusing on the role of digital transformation in enhancing its use. Nineteen semi-structured interviews and farm inspections were conducted with 28 current and prospective farm managers in the fruit-growing sector in Germany and Luxembourg. Results show that decision-making is primarily driven by experience and intuition. Lack of experience with controlling hinders the visibility of its benefits, thus preventing the acquisition of controlling expertise. In the absence of such expertise, controlling methods cannot be effectively implemented, rendering the benefits elusive. Additionally, the limited availability of processed data restricts meaningful business analyses. Farm management and information systems (FMISs) provide minimal controlling functionalities. Reporting obligations relating to crop protection are the primary drivers for FMIS adoption. Therefore, reporting obligations in external accounting and data requirements for funding and loan procurement serve as entry points for controlling-focused software solutions. Information and controlling systems thus hold potential to enhance routine decision-making, rendering the benefits of controlling more tangible. This study contributes a conceptual framework to broaden the understanding of the often negatively perceived cost-benefit ratio of controlling in small and medium-sized enterprises and identifies strategies to strengthen its practical relevance.
Unraveling on-farm wheat loss in Fars province, Iran: A qualitative analysis and exploration of potential solutions with emphasis on agricultural cooperatives
(2023) Ghaziani, Shahin; Dehbozorgi, Gholamreza; Bakhshoodeh, Mohammad; Doluschitz, Reiner
Given wheat’s global significance as a primary food crop, and its importance in providing essential nutrition to millions of people worldwide, reducing on-farm losses is crucial to promoting food security, sustainable agriculture, and economic stability. Wheat plays a critical role in food security in Iran, as it is a staple food consumed daily by a large proportion of the population, and is also a vital component of the country’s food self-sufficiency policy. The present study aims to identify the causes and extent of on-farm wheat loss in Fars province, a major wheat-producing area in Iran. Nine experts were interviewed, using open-ended questions, in October 2018. The study revealed that a considerable amount of wheat is lost due to seed overuse, pest infestation, and improper harvesting. The paper discusses the underlying factors associated with these over-arching causes, and highlights their adverse environmental, economic, and societal impacts. The paper also explores potential approaches to take in addressing the issue, and suggests empowering agricultural cooperatives through changes in the government’s engagement with wheat production. This study provides valuable insights for policymakers and stakeholders which are useful for developing effective strategies to reduce on-farm loss, particularly in countries where intensified farming is promoted. These strategies may include limiting the government’s central control and, instead, empowering agricultural cooperatives, as well as adopting supportive approaches, such as improving farmers’ access to proper machinery, and enhancing their sovereignty and freedom.
Valorization for biodiversity and ecosystem services in the agri-food value chain
(2023) Voglhuber-Slavinsky, Ariane; Lemke, Nahleen; MacPherson, Joseph; Dönitz, Ewa; Olbrisch, Mathias; Schöbel, Philipp; Moller, Björn; Bahrs, Enno; Helming, Katharina
This article defines the term valorization of biodiversity and ecosystem services (BES) measures, as distinguished from their valuation, and underpins it with an assessment of private valorization examples along the agri-food value chain. Valorization incentivizes measures for promoting BES, while valuation refers to its quantification. Valuation can be a step of valorization but is not indispensable. In scientific literature, the terms valorization and valuation are often used interchangeably. In addition, there is a lack of research on private options versus conventional, public policy options. Therefore, we searched for private valorization options primarily in public sources (gray literature and websites). This led to the identification of four clusters (markets for voluntary services, labeling, and certification, environmental management/CSR, and tradable permits and quotas). Based on these clusters the options were assessed from a legal and systems dynamics perspective. In addition, the viability of selected valorization options in different future scenarios was examined. The analysis revealed a wide range of private valorization options, which in contrast to public policy options that focus almost entirely on the production stage, are spread across the agri-food value chain. Their suitability differs under different future scenarios, legal and systems conditions.

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