Current Agricultural Systems Research Articles

CONCEPTUAL FOUNDATIONS OF MARKETING ORGANIZATION AND LOGISTICS MANAGEMENT IN AGRIBUSINESS

Objective: This study aims to explore the impact of marketing and logistics systems on the efficiency of agricultural product production, storage, and sales, focusing on the challenges faced by agricultural producers in Uzbekistan. Methods: The research employs a systematic analysis of the agricultural supply chain, evaluating the role of marketing and logistics in managing the flow of goods, determining production volumes, and assessing market capacities. Data is gathered through literature review, case studies, and qualitative analysis of existing agricultural practices. Results: The findings highlight significant inefficiencies in the current agricultural logistics system, where the lack of proper marketing strategies and logistics infrastructure leads to high production and transportation costs, imbalances in consumer markets, and low competitiveness. The study identifies key areas where improvements in the marketing-logistics framework can reduce costs by 10-15%, enhance production planning, and better align supply with consumer demand. Novelty: This research introduces a comprehensive approach to integrating marketing and logistics systems in agricultural production, emphasizing the importance of strategic coordination between resource suppliers, producers, and market demands. It provides insights into developing a more efficient, market-responsive agricultural sector in Uzbekistan

The Construction of a Socialized Service Platform and System for “Internet + Agriculture” in China

The mismatch between supply and demand and inefficient supply in China’s agricultural product market is quite severe, making agricultural supply-side structural reform an important topic and task for rural economic work in China. The successful implementation of agricultural supply-side reform requires a comprehensive agricultural social service platform and system to support it. However, the current agricultural social service platform system in China faces issues such as a lack of coordination among service entities and poor information communication, making it difficult to meet the demands of supply-side reform. To address this issue, under the new circumstances of supply-side reform, this paper proposes the idea of reorganizing the agricultural social service platform and system through industrial chain collaboration theory, and applying “internet +” for technological reengineering of the agricultural social service platform system. Based on this, a new agricultural social service platform system architecture is constructed, which includes service entities, service platforms, service content, and operational models. The research findings provide guidance for agricultural product producers, distributors, sellers, and related service entities along the agricultural industry chain on how to use “internet +” for collaborative decision-making. This approach is beneficial for addressing the supply-demand imbalance and low resource allocation efficiency in China’s agricultural product market, thereby advancing the structural reform of China’s agricultural supply side.

Optimizing oilseed rape growth: Exploring the effect of foliar biostimulants on the interplay among metabolism, phenology, and yield.

The current agricultural system is in search of new strategies to achieve a more sustainable production while keeping or even increasing crop yield and quality. In this scenario, the application of biostimulants constitutes a potent solution. In the current study, the impact of a blue-green microalgal extract (MB) and a pig tissue hydrolysate (PTH) on rapeseed plants' development was characterized. Obtained results revealed a positive effect on yield parameters of plants treated with MB and, especially, PTH; this was associated to an improvement on the photosynthetic performance. Moreover, this study remarked the effects of biostimulants on plant phenology through their pivotal role in modulating developmental processes. More specifically, proteomic, metabolomic, and hormone content analyses revealed distinct alterations associated with the acceleration of phenology induced by biostimulant application. Additionally, some antioxidant enzymes and stress-related compounds were up-regulated upon MB and PTH treatments, indicating enhanced plant defense mechanisms in response to accelerated phenological transitions. Such findings highlight the intricate interplay between biostimulants and plant physiology, wherein biostimulants orchestrate rapid developmental changes, ultimately influencing growth dynamics. Altogether, the current study reveals that the application of both MB and PTH biostimulants promoted rapeseed plant phenology and productivity associated with an improvement in the photosynthetic machinery while boosting other physiological and molecular mechanisms.

Precision nitrogen management strategies and high yielding genotypes for enhanced growth, yield, economics, and nitrogen use efficiency in wheat

Current agricultural production systems face challenges of poor economic returns, soil fatigue and negative environmental outcomes from excess use of nitrogenous fertilizers, especially in wheat production under middle gangetic plains. To overcome these challenges, the current study was conducted to optimize nitrogen management in different wheat genotypes with precision nitrogen management tools and approaches. The field experiment was laid out in split-plot design, with three genotypes assigned to the main plot and six nitrogen management practices to the sub-plot. The soil of the experimental field was sandy loam in texture, with low levels of organic carbon and available nitrogen, and medium levels of available phosphorus and potassium. Results revealed that the HD-2967 genotype outperformed others in terms of growth, grain yield (4.7 and 4.81 t ha−1), gross return (1417.41 and 1505.48 US$ ha−1), net return (953.43 and 1019.76 US$ ha−1), and B-C ratio (2.04 and 2.08) in 2015-16 and 2016-17, respectively. Among the nitrogen management practices, application of 150 kg N ha−1 in three equal splits demonstrated improved crop growth, grain yield (4.7 and 4.81 t ha−1), and economic returns (gross return, 1500.40 and 1607.65 US$ ha−1, net return, 1025.40 and 1110.38 US$ ha−1 and B: C ratio, 2.17 and 2.23) in 2015-16 and 2016-17, respectively. However, it resulted in higher nitrogen losses. Green seeker guided N application significantly reduced apparent nitrogen losses compared to all other nitrogen applied treatments. These findings provide valuable insights for optimizing wheat production by selecting appropriate genotypes and implementing precision nitrogen management techniques to enhance yield, profitability, and environmental sustainability.

Digital Twin System of Pest Management Driven by Data and Model Fusion

Protecting crops from pests is a major issue in the current agricultural production system. The agricultural digital twin system, as an emerging product of modern agricultural development, can effectively achieve intelligent control of pest management systems. In response to the current problems of heavy use of pesticides in pest management and over-reliance on managers’ personal experience with pepper plants, this paper proposes a digital twin system that monitors changes in aphid populations, enabling timely and effective pest control interventions. The digital twin system is developed for pest management driven by data and model fusion. First, a digital twin framework is presented to manage insect pests in the whole process of crop growth. Then, a digital twin model is established to predict the number of pests based on the random forest algorithm optimized by the genetic algorithm; a pest control intervention based on a twin data search strategy is designed and the decision optimization of pest management is conducted. Finally, a case study is carried out to verify the feasibility of the system for the growth state of pepper and pepper pests. The experimental results show that the virtual and real interactive feedback of the pepper aphid management system is achieved. It can obtain prediction accuracy of 88.01% with the training set and prediction accuracy of 85.73% with the test set. The application of the prediction model to the decision-making objective function can improve economic efficiency by more than 20%. In addition, the proposed approach is superior to the manual regulatory method in pest management. This system prioritizes detecting population trends over precise species identification, providing a practical tool for integrated pest management (IPM).

A shift towards softer pest management differently benefits earwig and spider communities in a multiyear experiment in apple orchards.

Environmentally-friendly crop protection practices are needed to enhance the sustainability of current agricultural systems. This is crucial in orchards which are extensively treated to impair various pests, at the expense of natural enemies. However, the effect of a shift towards softer pest management on the beneficial arthropod community is poorly documented. Earwigs (Dermaptera: Forficulidae) and spiders (Araneae) are relevant groups to assess such effects because they are highly sensitive to agricultural practices. They were monitored for 6 and 4 years, respectively, in apple orchards under three pest management regimes: Organic, Low-input and Conventional, with pest management being switched during the survey from a broad-spectrum insecticide schedule to mating disruption in the latter one, and more selective compounds in all orchards. The survey displayed that earwig abundance (mainly Forficula auricularia) that was initially very low in the Conventional orchard (annual mean 0.5-1.7 earwigs per shelter in the 2010-2012 period) increased to the same level as that of Low-input and Organic orchards (over 10 earwigs per shelter) in the same year that changes in pest management occurred. The epigeal and arboreal spider communities were not responsive, and no recovering was observed 4 years after change in practices. Predatory arthropod communities are differently affected over time by changes in pest management, most probably due to their biology (dispersion, reproduction rate, susceptibility to pesticides etc.). This outlines the importance of documenting the time required to recover after perturbations and build a natural enemy community to enhance pest control in a win-win perspective. © 2024 Society of Chemical Industry.

Histological evidence of hypothyroidism in mice chronically exposed to conventional farming

Worldwide, disorders of the thyroid gland are a growing concern; such can be caused by exposure to contaminants, including agrochemicals used in conventional agriculture, which act as endocrine disruptors. The purpose of this study is to evaluate whether or not exposure to an environment with conventional agriculture leads to thyroid disruption. Mus musculus were used as bioindicator species, captured in two sites: a farm where conventional agriculture is practiced, and a place without agriculture. Thyroid histomorphometric and morphologic data were analyzed. The impacts of the agricultural environment over the thyroid were revealed, as indications of hypothyroidism were observed in exposed mice: the area and volume of epithelial cells were much lower. Alterations in thyroid histomorphology were also observed: lower follicular sphericity, irregularly delimited epithelium and increased exfoliation into the colloid. These results highlight the need for transition from current conventional agricultural systems towards organic systems.

Smart selection of soil microbes for resilient and sustainable viticulture.

The grapevine industry is of high economic importance in several countries worldwide. Its growing market demand led to an acceleration of the entire production processes, implying increasing use of water resources at the expense of environmental water balance and the hydrological cycle. Furthermore, in recent decades climate change and the consequent expansion of drought have further compromised water availability, making current agricultural systems even more fragile from ecological and economical perspectives. Consequently, farmers' income and welfare are increasingly unpredictable and unstable. Therefore, it is urgent to improve the resilience of vineyards, and of agro-ecosystems in general, by developing sustainable and environmentally friendly farming practices by more rational biological and natural resources use. The PRIMA project PROSIT addresses these challenges by characterizing and harnessing grapevine-associated microbiota to propose innovative and sustainable agronomic practices. PROSIT aims to determine the efficacy of natural microbiomes transferred from grapevines adapted to arid climate to commonly cultivated grapevine cultivars. In doing so it will test those natural microbiome effects on drought tolerance. This multidisciplinary project will utilize in vitro culture techniques, bioimaging, microbiological tests, metabolomics, metabarcoding and epigenetic analyses. These will be combined to shed light on molecular mechanisms triggered in plants by microbial associations upon water stress. To this end it is hoped that the project will serve as a blueprint not only for studies uncovering the microbiome role in drought stress in a wide range of species, but also for analyzing its effect on a wide range of stresses commonly encountered in modern agricultural systems.

Landrace diversity and heritage of the indigenous millet crop fonio (Digitaria exilis): Socio‐cultural and climatic drivers of change in the Fouta Djallon region of Guinea

Societal Impact StatementWhite fonio (Digitaria exilis [Kippist] Stapf) is an understudied millet crop, indigenous to West Africa and cultivated in the region largely through traditional practices. This species is climate‐resilient, fast‐growing, nutritionally rich, and provides livelihoods and food security to rural communities. Through collaboration with smallholder farmers in the Fouta Djallon region, Guinea, this study investigates how the diversity and selection of fonio landraces has changed in living memory. This research provides insight into how climatic and socio‐cultural changes affect the cultivation of fonio varieties and other indigenous crops, and why they should be conserved and further involved in rural development programmes.Summary The millet crop white fonio (D. exilis) isa staple crop feeding thousands of people across West Africa. The Fouta Djallon highlands region of Guinea is a hotspot for its cultivation, with known high genetic diversity. Our study utilises data from ethnobotanic interviews and plant specimen and seed collections, working with farmers from 15 communities in this region with the aim to investigate the diversity of landraces and popularity of fonio within the current agricultural systems, in the present, and changes over the past 50 years. A total of 24 named varieties of fonio were recorded and described, along with other commonly cultivated food crops. This includes two lost varieties now no longer cultivated. We also describe the methods for cultivation, grain processing and food preparation. The priority and popularity of cultivated fonio landraces, and other crops, has changed, due to the consequences of social and environmental change in living memory. The diversity of fonio landraces are maintained as an adaptation to historical climatic changes, and there is an increasing preference towards varieties with a longer growing period and more reliable high yield to the detriment of early season varieties.

Quantifying potential trade-offs and win-wins between arthropod diversity and yield on cropland under agri-environment schemes–A meta-analysis

In Europe, agri-environment schemes (AES) are a key instrument to combat the ongoing decline of farmland biodiversity. AES aim is to support biodiversity and maintain ecosystem services, such as pollination or pest control. To what extent AES affect crop yield is still poorly understood. We performed a systematic review, including hierarchical meta-analyses, to investigate potential trade-offs and win-wins between the effectiveness of AES for arthropod diversity and agricultural yield on European croplands. Altogether, we found 26 studies with a total of 125 data points that fulfilled our study inclusion criteria. From each study, we extracted data on biodiversity (arthropod species richness and abundance) and yield for fields with AES management and control fields without AES. The majority of the studies reported significantly higher species richness and abundance of arthropods (especially wild pollinators) in fields with AES (31 % increase), but yields were at the same time significantly lower on fields with AES compared to control fields (21 % decrease). Aside from the opportunity costs, AES that promote out-of-production elements (e.g. wildflower strips), supported biodiversity (29–32 % increase) without significantly compromising yield (2–5 % increase). Farmers can get an even higher yield in these situations than in current conventional agricultural production systems without AES. Thus, our study is useful to identify AES demonstrating benefits for arthropod biodiversity with negligible or relatively low costs regarding yield losses. Further optimization of the design and management of AES is needed to improve their effectiveness in promoting both biodiversity and minimizing crop yield losses.

Management interventions of pearl millet systems for attaining cereal self-sufficiency in Senegal

Critical management interventions to target the yield potential for each environment are key to food security, increasing the resilience of current agricultural systems in Senegal. Cereal production is highly dependent on pearl millet (Pennisetum glaucum L.) rainfed systems as one of the major field crops for smallholders. This study aims to (i) quantify the production of pearl millet at the department level for the last quinquennial (until 2020), (ii) assess the impact of weather (temperature and precipitation) on the millet-based supply of cereal demand, and (iii) investigate, through crop modeling, the impact of millet-based supply of cereal demand by comparing recommended management interventions with smallholder-based strategies at the department level. Millet-based cereal supply–demand was estimated considering the observed population and the supply via the simulated pearl millet production (obtained using the APSIM-Millet model) at the department level from 1990 to 2021. High temperature and low precipitation occurrence presented a frequency of 35% across departments, leading to a reduction in millet production by roughly 6% relative to the normal average for 32 years. Adoption of recommended management showed the potential to increase the millet supply, more than doubling the current cereal supply, closing the current supply–demand gap (89 kg inhabitant−1). Achieving future cereal self-sufficiency will also require an intensification of other cereal production.

What is the prospect of a perennial grain revolution of agriculture?

Abstract Non-technical summary Agriculture has been dominated by annual plants, such as all cereals and oilseeds, since the very beginning of civilization over 10,000 years ago. Annual plants are planted and uprooted every year which results in severe disturbance of the soil and disrupts ecosystem services. Science has shown that it is possible to domesticate completely new perennial grain crops, i.e. planted once and harvested year after year. Such crops would solve many of the problems of agriculture, but their development and uptake would be at odds with the current agricultural technology industry. Technical summary Agriculture is arguably the most environmentally destructive innovation in human history. A root cause is the reliance on annual crops requiring uprooting and restarting every season. Most environmental predicaments of agriculture can be attributed to the use of annuals, as well as many social, political, and economic ones. Advances in domestication and breeding of novel perennial grain crops have demonstrated the possibility of a future agricultural shift from annual to perennial crops. Such a change could have many advantages over the current agricultural systems which are to over 80% based on annual crops mainly grown in monocultures. We analyze and review the prospects for such scientific advances to be adopted and scaled to a level where it is pertinent to talk about a perennial revolution. We follow the logic of E.O. Wright's approach of Envisioning Real Utopias by discussing the desirability, viability, and achievability of such a transition. Proceeding from Lakatos' theory of science and Lukes' three dimensions of power, we discuss the obstacles to such a transition. We apply a transition theory lens to formulate four reasons of optimism that a perennial revolution could be imminent within 3–5 decades and conclude with an invitation for research.

Cropable - The Crop Disease Detection WebApp

AbstractAccording to estimates, every year 10% of global production, goes waste due to pests and crop pathogens. For instance, India is a leading producer of many crops, including wheat, rice, lentils, sugarcane, and cotton. But a majority of the farmers are unable to detect whether a crop is infected or not simply by looking at it. As crop pathogens develop greater resistance to fungicides and pesticides, there is an urgent need to find new antifungal compounds to effectively combat them, which over time are rendered useless as the pathogens again develop resistance to these compounds. Thus, the food security of any country is always at risk due to the vulnerability of the current agricultural systems to climate, pests, pathogens, and associated diseases. To solve this problem, we have developed Cropable, The Crop Protection App. In the proposed work, we have used Deep Convolution Neural Networks( CNN) models to detect the disease and further created a web app using flask. Cropable is an Artificially Intelligent Web Application that can help to identify whether the crop is infected or not. We also provide farmers with a treatment for the detected disease, which not only helps them in identifying a disease but also assists them in solving it.

Enhanced rendering-based approach for improved quality of instance segmentation in detecting green gram (Vigna Rediata) pods

The emergence of Artificial Intelligence, deep learning, and current computer vision algorithms are the main contributors to innovations in the agricultural domain. The most recent detection algorithms capable of giving real-time detections at the edge nodes tackle most agricultural problems, such as disease, pest or insect detections, and maturity level detection of crops (fruits and vegetables). Modern harvesters and fruit-picking robots rely heavily on the detection capability of the algorithms used. Various detection algorithms have been proposed and used in literature, having good performance in terms of mean average precision. Still, the current agricultural systems require not only high mean average accuracy but also algorithms should have high inference speeds. The research proposes a Detectron2-based framework with PointRend (Point-based Rendering), capable of providing enhanced, high-quality pixel-level instance segmentation in identifying and detecting green gram pods or Mung Bean (Vigna Radiata) in natural field conditions rendering crisp and smooth boundaries for accurately locating the green gram pods. The results indicate that the proposed framework outperforms the famous Mask R-CNN model to obtain higher mean average precision and improved quality of detections.

Review on the Current Agricultural Extension System in Oromia: Operational Setup, Challenges and Interventions

Review on the Current Agricultural Extension System in Oromia: Operational Setup, Challenges and Interventions

Co-design of diversified cropping systems in the Mediterranean area

Agriculture today faces opposing challenges: reducing its environmental impacts while feeding a growing population and adapting to climate change. Diversification of cropping systems has been proposed as a solution to address these issues and promote sustainable and resilient agricultural systems. While alternatives have been proposed by research and development, changing the agricultural systems remains a huge challenge. Engaging local actors when considering those changes is important for their successful implementation. While co-designing with stakeholders is gaining interest in the scientific community, approaches that consider varying local contexts remain uncommon. In this study, our aim was to co-design, during workshops with local stakeholders, diversification options in five case studies located in the Mediterranean countries of Algeria, France, Greece, and Spain. Prior to the co-design process, we conducted a SWOT/PESTLE analysis in each case study to analyze the local context of current and potential agricultural systems. Our hypothesis was that co-designed systems would differ between case studies, according to their environmental, social and political contexts leading to fine-tuned locally ad hoc systems. Options for intercropping and diversifying rotations were considered for both cereal-based systems and vine systems. Additionally, these options included adapted management practices for cereal-based systems and more innovative diversification, such as photovoltaic panels or agroforestry, for vine systems. While some of these options could serve as adaptations to climate change, they may not be sufficient to address future climate conditions. Interestingly, we did not observe significant differences among the system options designed for the various case studies, even though the local contexts were very different. Indeed, options only partially addressed the issues identified by stakeholders: primarily, economic and environmental threats. This study points to the advantage of participatory research in diverse contexts along with cross-case analyses, and to the need to consider the future of these Mediterranean regions, where crop diversification is limited by water deficit. To foster the transition next steps should consider assessing experimentally these systems with farmers to stimulate learning, while considering market possibilities.

Mobile robotics in smart farming: current trends and applications.

In recent years, precision agriculture and smart farming have been deployed by leaps and bounds as arable land has become increasingly scarce. According to the Food and Agriculture Organization (FAO), by the year 2050, farming in the world should grow by about one-third above current levels. Therefore, farmers have intensively used fertilizers to promote crop growth and yields, which has adversely affected the nutritional improvement of foodstuffs. To address challenges related to productivity, environmental impact, food safety, crop losses, and sustainability, mobile robots in agriculture have proliferated, integrating mainly path planning and crop information gathering processes. Current agricultural robotic systems are large in size and cost because they use a computer as a server and mobile robots as clients. This article reviews the use of mobile robotics in farming to reduce costs, reduce environmental impact, and optimize harvests. The current status of mobile robotics, the technologies employed, the algorithms applied, and the relevant results obtained in smart farming are established. Finally, challenges to be faced in new smart farming techniques are also presented: environmental conditions, implementation costs, technical requirements, process automation, connectivity, and processing potential. As part of the contributions of this article, it was possible to conclude that the leading technologies for the implementation of smart farming are as follows: the Internet of Things (IoT), mobile robotics, artificial intelligence, artificial vision, multi-objective control, and big data. One technological solution that could be implemented is developing a fully autonomous, low-cost agricultural mobile robotic system that does not depend on a server.

On the impacts of agricultural subsidies on agricultural carbon emissions in China: empirical evidence from microdata of rice production.

China's agricultural subsidy system has increased the investment on the agricultural production factors such as energy and chemistry, which caused an increase of agricultural carbon emissions. Based on the Thousand-Village Survey data from Shanghai University of Finance and Economics in 2013, the focal paper uses ordinary and two-stage least squares (OLS and 2SLS) to systematically investigate the impact and mechanism of agricultural subsidies on agricultural carbon emissions in China. Results show that China's current agricultural subsidy system has a promoting effect on agricultural carbon emissions. Four types of agricultural subsidies, namely, direct grain subsidies, subsidies for improved varieties, comprehensive subsidies for agricultural materials, and agricultural machinery purchase subsidies, impact the agricultural carbon emissions in ascending order. The agricultural subsidies increase the agricultural carbon emissions directly and indirectly. The findings indicate that a new type of agricultural subsidy system should be constructed, which mainly includes subsidies for farmers' out-migrating for work and land transfer, direct subsidies for grain, and subsidies for improved seed varieties. Among them, the direct grain subsidies should be implemented on the size of planting area and subsidies for improved seed varieties on the size of farmland to reduce the agricultural carbon emissions.

Managed grazing and agroecological transformation in the Midwestern United States

A growing number of intergovernmental agencies, policymakers, scholars, and farmers are calling to transform the dominant food system so that it better supports farmers, communities, and the environment. The goal of this paper is to identify which actions that support managed livestock grazing and graziers can also promote agroecological transformation in the Midwestern U.S. We conducted 128 semi-structured interviews and 3 participatory workshops with farmers, civil society, and agricultural industry professionals focused on visions for the future and actions that could support managed grazing. We then applied a political agroecology framework to assess the transformative potential of specific actions. Action categories with high transformative potential include addressing industry consolidation and inequities in the distribution of land and capital; providing social supports for farm owners and workers; and shifting the social norms that support the dominant food system. Specific actions within these categories include supporting cooperative models of farming, marketing, and resource-sharing; providing healthcare, living wages, and retirement to farmers; supporting farmer-to-farmer networks; modifying crop insurance and anti-trust legislation; addressing farmland access and consolidation; expanding public education on agroecology; and enacting policies that dismantle and repair colonial and racial violence. The workshops revealed that a disproportionate share of attention within the Midwest sustainable agriculture movement is currently focused on strategies that support sustainable farming practices such as education and conservation assistance but do little to address governance structures that maintain the power of the current agricultural system. While these efforts are important, workshop participants and interviewees concluded that more systemic change is needed to build a food system that works better for people, communities, and the environment.

Breaking the mould: Developing innovative crop protection strategies with Reflexive Interactive Design

CONTEXTPests and pathogens can have great impacts on agricultural production. The use of plant protection products (PPPs) is a main preventive and curative management method in conventional farming today world-wide. However, increasing evidence shows the negative effects of PPPs on the environment and human health. New, especially preventive, approaches are needed and a promising option for developing these is the redesign of current agricultural systems, in which knowledge about the system and biological processes is integrated. Yet frameworks that can guide this process are not widely used. OBJECTIVEThis study aims to demonstrate the use of an innovative and systematic approach to the development of design concepts for pest and disease management without the use of PPPs, using Phytophthora infestans in potatoes as a case study. METHODSThe Reflexive Interactive Design method was applied to define design goals, requirements and key functions of the innovative design. These definitions were based on the needs of relevant stakeholders and the biology of the crop and disease. A range of strategies were researched that could effectively limit pathogen transmission and disease severity by interrupting the pathogen's life cycle. RESULTS AND CONCLUSIONSThe proposed design concept focuses on a combination of more traditional aspects like providing farmers with uninfected starting material and resistant varieties with novel approaches like increasing canopy porosity through intercropping with onions and preventing the spread of inoculum both into and within the field with a combination of host dilution and barriers. This research demonstrates how the Reflexive Interactive Design method can be used to develop innovative solutions for crop protection that go beyond current solution sets. SIGNIFICANCEThe systematic approach backed by literature provided the compass for the search for new and innovative solutions with strong focus on prevention. The design concept acts as a promising starting point to be further elaborated with stakeholders while effectiveness of the final design concept needs to be tested under real-life conditions.