Agricultural Production Chain Research Articles

Transformation of the Agrifood System and Climate Change

Objective: Emissions from the agri-food system (AFS) account for between 21% and 37% of total global greenhouse gas emissions. Concurrently, climate change has the potential to significantly impact the AFS production processes. The objective is to clarify the context that justifies the need for transformation and transition of the agri-food system, considering climate change as a prioritized challenge. Method: This study adopts a descriptive, bibliographical approach with a qualitative analysis. Content analysis of the literature review enabled examination of: a) the AFS's contribution to global emissions, and b) its susceptibility to climate change impacts. Results and Discussion: The agri-food chain has been notably responsible for emitting a substantial amount of greenhouse gases, particularly during land-use change and in pre- and post-production processes including manufacturing, transportation, refrigeration, food processing, packaging, and waste disposal. Additionally, the agri-food sector is among the most affected by climate change effects, notably due to increased occurrences of extreme events affecting agricultural production, harvesting, and other chain processes, thereby leading to rising prices and food scarcity. Research Implications: This paper highlights the importance of developing and expanding sustainable agri-food systems in response to the intensifying impacts of climate change and food insecurity. Originality/Value: The study aims to contribute to the discourse on the imperative for transformation and transition from the dominant agri-food system paradigm towards alternative production approaches that are more sustainable and resilient to environmental changes.

Consumption and Consumer Preferences of Fresh and Frozen Potatoes in Semarang City, West Java, Indonesia

Farmers, producers, and other parties involved in the agricultural production chain of vegetable commodities place a high value on knowing consumer preferences when making decisions on developing and manufacturing agricultural food products. This study aims to investigate consumer behavior and identify information on consumer preferences for both fresh and processed (frozen) potatoes. The study was conducted in Semarang City, West Java, Indonesia using a survey method. Purposive sampling method was employed to recruit 100 respondents, aged above 21 years, residents of Semarang City, and had consumed at least fresh and/or frozen potatoes in the last month. A questionnaire using Google Forms was employed to gather data online. It was distributed via social media platforms. The data collected was analyzed by descriptive and conjoint analysis. The results showed that the most frequent consumption was once a week with regular types of fresh potatoes being consumed; the respondents' spending on potato consumption was ≤ IDR 25,000/ month, and they consumed ≤2 kg of potatoes per week. Potato consumer preferences showed that the fresh potato attributes most liked by consumers are large tuber size, smooth skin, and ≤5 lateral buds, with the number of lateral bud attributes being the most prioritized. The most preferred attributes for frozen potatoes are a straight form, priced at IDR 39,000 to 58,000, batter-coated flavor, 801-1000 gr size packaging, and branded, with the shape attribute being the most prioritized. These findings suggest that farm producers can develop innovative potato varieties with fewer lateral buds and shapes for frozen potatoes.

Challenges to achieving zero hunger by 2030: the impact of armed conflict on global food security with a focus on the Russo-Ukrainian War

Objective: This study examines the impact of armed conflicts, particularly the Russo-Ukrainian War, on achieving the United Nations Sustainable Development Goal 2: Zero Hunger. The analysis explores how escalating conflicts post-2015 have undermined global efforts toward ending hunger and ensuring food security by 2030. Method: The research employs a qualitative approach, analyzing data on global armed conflicts and food insecurity rates from 2015 to 2023. It particularly focuses on the escalation of the Russo-Ukrainian War and its implications for global food supply chains. The study integrates reports from the United Nations, various NGOs, and other authoritative sources to assess the broader impacts of armed conflicts on food security. Results: Since the adoption of the 2030 Agenda, the number of armed conflicts has significantly increased, correlating with heightened global food insecurity. Specifically, the ongoing conflict in Ukraine has directly resulted in 1.7 billion people experiencing hunger and 276 million facing severe food insecurity worldwide. This conflict has disrupted agricultural production and global food supply chains, exacerbating the food crisis. Conclusions: The findings highlight the severe challenges that armed conflicts pose to achieving global food security. With less than a decade remaining until the 2030 deadline, it is imperative to intensify diplomatic efforts to mitigate conflicts, thereby safeguarding progress toward Zero Hunger. The study underscores the necessity of integrating peace-building strategies into the broader framework of sustainable development.

A Study on The Problematization of Logistics in Agricultural Production in The State of Tocantins

Objective: the research aims to describe the logistical service system, observing the problematization of agricultural production in the state of Tocantins, considering that this sector is one of the most promising in terms of socioeconomic and regional development in the country. Theoretical benchmark: with the growing advancement of agricultural production and the exploration of new frontiers, Brazil stands out as one of the main exporters of agricultural products today. Given the significant development of agriculture, it is observed that the logistical factor, mainly costs and infrastructure, is among the elements with the greatest impact on the efficiency of the entire agricultural production chain in the state of Tocantins. Method: the methodology adopted will be the deductive method, based on theoretical logistics studies, applicable legislation, and support materials for logistics learning systems, in addition to economic representation in the state of Tocantins. The resources used include bibliographic and documentary material and other instruments or research techniques in accordance with the adopted methodology, aiming to provide support for research on the proposed theme. Results and conclusion: given the content of this study, it is highlighted that the chain of agricultural processes encompasses a complex network of activities in the production chain, and cannot be conceived solely as a relationship between producer and consumer, given its breadth of action. In this context, it should be noted that logistics services end up representing one of the obstacles to the development of agriculture in the State of Tocantins, mainly due to its geographic location. Implications of the research: the approach adopted in this research offers unprecedented scientific contributions to the field of logistics, providing theoretical bases for interventions and public policies that can impact this economic activity in a Brazilian state with strong economic and social growth trends, whose production has repercussions at national and international levels. Originality/value: the social transformations of recent decades, related to the process of globalization of the economy and technology, have directly influenced the social and economic life of countries, affecting production and service chains and interfering in labor relations. Therefore, the increase in regions dedicated to agribusiness activities is a general trend among emerging countries, requiring a deeper understanding of the territorial approach to regional development, especially in economic activities hampered by bottlenecks in the logistics system, both national and international. Thus, new reflections and planning are necessary and imperative elements in Brazilian states like Tocantins.

The Regional Heterogeneity of the Impact of Agricultural Market Integration on Regional Economic Development: An Analysis of Pre-COVID-19 Data in China

The abrupt onset of the COVID-19 pandemic in late 2019 significantly disrupted China’s domestic agricultural production and supply chain stability. Local governments, responding to urgent circumstances, implemented various trade restrictions that profoundly affected regional economic development. This study, covering data from 2010 to 2019 across 31 provinces, investigates agricultural market integration and regional economic development. Employing a dynamic spatial panel Durbin model, it systematically analyzes the complex relationship between these variables. International trade variables related to agricultural products are then introduced to examine their “substitution effect” in promoting regional economic development through agricultural market integration. The research findings are summarized as follows: (1) disregarding international agricultural trade, a one-unit increase in the agricultural market integration index corresponds to a 0.156% rise in regional economic development. (2) In an open economy, the substitution coefficients for agricultural imports, exports, and total trade concerning market integration are −0.00097, −0.0012, and −0.0038, respectively. (3) The strength of the substitution effect from the international agricultural market to the domestic market varies regionally, with coefficients of −0.00099 and −0.00217 for the eastern and western regions, respectively.

Hydrogeochemical investigation of irrigation water in the vicinity of metallic ore deposits in Kiraz‐İzmir, Turkey: Understanding the crucial nexus between “geology and food safety”

AbstractThe increasing drought due to climate change poses a threat to issues such as safe and accessible drinking water, food safety, and protection from diseases. The provision of water supply is vital for agricultural and livestock activities, which are commonly practiced around natural ore deposits. Examining traditional “irrigation water quality” methods alone is insufficient; investigating potentially toxic metal content in the region's waters is vital, especially around metallic ore deposits. This study focused on the Kiraz district in Turkey, known for its agricultural activities, to assess the impact of geogenic water pollution on irrigation water quality and its implications for food safety and human health. Geology determines nutrient availability, water resources, and land suitability for agriculture. Conventional irrigation water quality parameters indicate groundwater suitability for irrigation in the study area, considering Na%, sodium adsorption ratio, residual sodium carbonate, permeability index, Kelly ratio, magnesium hazard, and potential salinity. However, when examining the potential toxic metal content in the region, it was determined that the values of Al ranged from 96 to 8676 ppb, Ni values ranged from 27 to 360 ppb, and Sb concentrations varied between 9 and 53 432 ppb. Utilizing geogenically contaminated water for irrigation and its indiscriminate use in livestock, dairy, and food industries can lead to foodborne illnesses (cancer, endocrine disruptors, tuberculosis, antimony spots, thyroid tumors, goiter, neurologic and cardiovascular diseases) that endanger human health. The use of low‐quality water throughout the agricultural sector and food production chain increases food safety risks.

Sectoral Assessment of the Energy, Water, Waste and Land Nexus in the Sustainability of Agricultural Products in Cameroon

To ensure sustainable production and consumption in the agricultural sector, it is necessary to assess the contribution of each element of the nexus in the agricultural production chain. The aim of this study is to make a quantitative and qualitative analysis of the contributions of each element of the energy, water, waste and land nexus to agricultural products. A composite method approach combining aspects based on an input–output model and location quotient (LQ) as well as competitive position is adopted. A database of nexus elements over a period from 2009 to 2018 is used for Cameroon, with ten regions considered. The results show proportions of around 0.42% energy, 67.88% water withdrawal, 11.91% harvested area and 97.81% waste for agricultural products. The geolocation of harvested areas shows that the largest portion is in the far north (1,373,829 ha) and the smallest is in Adamawa (224,038 ha). Maximum production is in the central region (4,334,095 tons) and the minimum is in the Adamawa region (915,841 tons). The central, littoral and west regions are more representative of agricultural products. The analysis of the competitive position of agricultural products contributes to a better orientation of national strategies for agricultural sustainability according to the existing potentials.

Dynamic Assessment of the Use of Natural Resources in an Agricultural Production Chain

Dynamic Assessment of the Use of Natural Resources in an Agricultural Production Chain

A novel method for vegetable and fruit classification based on using diffusion maps and machine learning

Vegetable and fruit classification can help all links of agricultural product circulation to better carry out inventory management, logistics planning and supply chain coordination, and improve the efficiency and response speed of the supply chain. However, the current classification of vegetables and fruits mainly relies on manual classification, which inevitably introduces the influence of human subjective factors, resulting in errors and misjudgments in the classification of vegetables and fruits. In response to this serious problem, this research proposes an efficient and reproducible novel model to classify multiple vegetables and fruits using handcrafted features. In the proposed model, preprocessing operations such as Gaussian filtering, grayscale and binarization are performed on the pictures of vegetables and fruits to improve the quality of the pictures; statistical texture features representing vegetable and fruit categories, wavelet transform features and shape features are extracted from the preprocessed images; the feature dimension reduction method of diffusion maps is used to reduce the redundant information of the combined features composed of statistical texture features, wavelet transform features and shape features; five effective machine learning methods were used to classify the types of vegetables and fruits. In this research, the proposed method was rigorously verified experimentally and the results show that the SVM classifier achieves 96.25% classification accuracy of vegetables and fruits, which proves that the proposed method is helpful to improve the quality and management level of vegetables and fruits, and provide strong support for agricultural production and supply chain.

Impact and Spatial Effect of Socialized Services on Agricultural Eco-Efficiency in China: Evidence from Jiangxi Province

Agricultural eco-efficiency (AEE) is a crucial indicator of the green development of agriculture. Agricultural socialized services (AS) provide services for the agricultural production process and they promote the effective input of production factors, such as science and technology, talent, information, and capital, into the agricultural production chain, deepening the division of labor and injecting vitality into agricultural development. We measured AEE based on field research data in Jiangxi Province, China. We also constructed an endogenous switching model to explore the impact of AS on AEE. Our results show that, based on the counterfactual assumption, the AEE increased by 13.19% among farmers who adopted the services compared to those who did not. From the perspective of scale and structural differences, the larger the scale of agricultural cultivation, the stronger the impact of AS on AEE. Furthermore, a large share of cash crops was found to inhibit the impact of AS on AEE. We also investigated whether farmers in close proximity to each other affect their neighbors through knowledge dissemination and technology spillover. The extent of the impact of AS on AEE depended on distance thresholds: it was more pronounced when we increased the distance threshold. Our results suggest that the government should improve the AS system, provide more public welfare services, and appropriately subsidize AS organizations. The AS for food crops should be emphasized; however, those for cash crops should not be ignored.

Impact of Farmer Participation in Production Chain Outsourcing Services on Agricultural Output Level and Output Risk: Evidence from the Guanzhong Plain, China

Shifting from a land-scale operation to a service-scale operation of agricultural production chain outsourcing services (APOS) is crucial to achieving innovation in agricultural-scale operation techniques. Using propensity score matching (PSM) and data from 1027 farm households in Guanzhong Plain, Shaanxi Province, we empirically assessed the impact of APOS on agricultural output level and output risk. First, age, gender, health, education, training, number of outworkers, land tenure, land contiguity, and subsidy satisfaction had a substantial beneficial influence on the involvement of farm families in APOS. Second, involvement in APOS may greatly increase the amount of agricultural production and lower the risk associated with farm families’ agricultural output. Moreover, the participation in outsourcing services for agricultural machinery use and field management significantly increased agricultural output and decreased output risk, but the participation in agricultural machinery use outsourcing services increased yield and reduced risks more significantly.

421 Inherent Livestock Feed Production: Abundance of Non-Edible Biomass in the Agricultural and Processing Sector in Germany

Abstract Livestock have a central role in food production as extractors and concentrators of nutrients from non-edible biomass [neB] producing high value foodstuff for human nutrition [1]. Agricultural production aims for maximizing edible biomass [eB] production whereby, neB production is inevitably coupled to it. The goal of this study was to determine how much neB and eB is produced annually in agricultural and processing sector in Germany. Literature research has been conducted (26 peer-reviewed publications, 15 books, 26 reports, 15 other grey literature) to identify the amount of eB and neB along the agricultural production chain in Germany. Therefore, conversion efficiencies of biomass from field to fork have been calculated on a dry matter basis by considering main- to by-product ratios on the field as well as processing efficiencies for food and renewable energy industry branches (e.g., milling, ethanol production, brewing, oil extraction, starch extraction, sugar extraction). Based upon these calculations, the human edible fraction (HeF) [2] was used together with mean agricultural production data (2012-17) in Germany to determine the abundance of eB and neB for two scenarios: low vs. high edibility of biomass. Since HeF factors denote theoretical margins of edibility of biomass, additional scenarios were calculated assuming current processing efficiencies as well as silage maize being completely inedible. Furthermore, changes in biomass production in scenarios of complete substitution of land used for silage maize production and cultivation of human edible foods have been analysed.115 to 134 million tons of neB and 38 to 57 million tons of eB were produced annually during the observation period. This equals 2-3.5 kg of neB per kg of eB. When silage maize was considered as neB, numbers increased to 2.5 to -4.8 kg of neB per kg of eB. When current processing efficiencies in Germany and grain usage were used for calculations instead of the two HeF scenarios, and silage maize was considered not edible, then 1kg of eB produced 4kg of neB. When the used area for silage maize cultivation would in future be substituted for food crop cultivation then 1kg of eB yielded 2.8kg of neB. The scenarios suggest that the amount of eB per acre of agricultural land changes dramatically once the whole agricultural system including grassland, green plants for feed production, straw, and by-products is adapted to future scenarios. The future challenge will be to improve current processing efficiencies of the food and renewable energy industry to approach the upper limits of edibility given by the HeF fractions. In any case, feed production is inherent.[1] Bradford et al. (1999) Ames, IA (Task force report / Council for Agricultural Science and Technology, 135) ISBN 1-887383-17-4[2] Ertl et al. (2015) In: Agricultural Systems 137, S. 119–125. DOI: 10.1016/j.agsy.2015.04.004.

Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain

Agriculture 4.0 technologies like the internet of things, machine learning, unmanned aerial vehicles, big data analytics, robotics, and artificial intelligence can benefit all stages and processes of the agricultural production chain. However, there are no suitable frameworks aimed at creating strategies to overcome the barriers that hinder agriculture 4.0. In developing countries, discussions about this scenario are less comprehensive and require more attention. This is the case of Brazil, one of the major players in agribusiness in the world, which has great potential to expand the reach of agriculture 4.0. The objective of this research is to propose a framework to manage the barriers to the introduction of agriculture 4.0 to the agricultural production chain in the southern region of Brazil. Twenty-five barriers were selected through a Systematic Literature Review (SLR). The barriers were validated through the perception of farmers, and a confirmatory factor analysis was adopted in the validation process. Next, specialists in the field developed contextual relationships between the barriers. The Interpretive Structural Modeling (ISM) method was applied, as well as the Matrix Impact of Cross Multiplication Applied to Classification (MICMAC) analysis, which allowed identifying the barriers of agriculture 4.0 that have a high driving power and those that are dependent. The proposed framework shows the hierarchy between the barriers of agriculture 4.0, highlighting their different relationships and thus highlighting which ones should be prioritized for a more successful implementation. This study provides a better understanding of the existing literature on the barriers of agriculture 4.0 and identifies the practical implications that affect its implementation. It is hoped that this study will serve as a guide to the implementation of agriculture 4.0 by helping to direct the efforts towards the removal of the most important barriers.

Analysis of Technological Gaps for Agricultural Chains Through the Analytical Hierarchical Process – AHP

The technological advances experienced by some countries can revolutionary change the productivity and competitiveness of a wide range of economic sectors due to the opening of possibilities of new ways of doing things better; however, the state of advancement of technology in the respective sectors and countries must first be determined. The aim of the study was to identify the technological gaps in the different productive links of the banana production chain in Colombia, in comparison with different leading countries in the world, to establish the best practices in each of these links. The study was quantitative in nature and the Hierarchical Analytical Process - AHP was used as a multi-criteria tool for information processing and analysis. The study population corresponded to the countries with a banana production chain, and the sample corresponded to the 13 countries with the highest volume of production. Among the multiple existing comparison criteria, the following were selected for analysis: basic research, production volume, exported value, exported quantity and unit value of exports. As a result, it was obtained that Nigeria presents the greatest advances and conditions in the productive chain analyzed according to the established criteria. Likewise, a methodology was established that can be extrapolated to be used in the evaluation of national and international agricultural production chains within the framework of technological gaps.

Combating of Associated Issues for Sustainable Agri-Food Sectors

Because of growing populations, more people living in cities, and higher incomes, the demand for food has changed in both quantity and quality. This has sped up the growth of different agricultural production and distribution chains. The necessary transition processes in the agri-food sectors, however, can often take a very long time to complete and have negative social and environmental effects, which puts the traditional development paradigm into question. This study looked at the trends affecting food systems in addition to the viability of sustainable development in Indian agriculture. In order to identify and then prioritize the related issues facing the agri-food sectors, this study comprised a thorough examination of the literature. Experts were consulted to rank the identified issues according to their degree of impact on the system with the use of an integrated “Best-Worst-Method (BWM)” and “Step-Wise Assessment and Ratio-Analysis (SWARA)” approach. The associated major issues were ranked using the BWM method, which revealed that “Issues with the lack of innovative systems” rated at the first level and was followed by “Issues with stability and availability of food; Issues of climate change and natural disasters; Food-governance-related issues; and Issues of accessing and utilizing food”, accordingly. The results of this study will help in developing appropriate intervention techniques at various service levels and in formulating policies, in addition to taking competent governments into consideration.

Public, private, and public-private partnerships to implement One Health as an action to address antimicrobial resistance in ColombiaParcerias públicas, privadas e público-privadas para a implementação da Saúde Única como uma ação contra a resistência a antimicrobianos na Colômbia

This article describes the importance of public-private partnerships (PPPs) and public-private coordination to address antimicrobial resistance (AMR) through the One Health approach. These partnerships are developed between governmental actors, private companies, and social organizations to build agendas, decision-making, and the management of projects of common interest. A case study from Colombia is presented. It describes examples of response from the public sector when the World Health Organization (WHO) reported a colistin resistance alert in 2016; from the animal protein production sector under an industry partnership for the rational use of antimicrobials; and, finally, from a public-private partnership in the swine sector, with governmental institutions and international cooperation, to take action to mitigate the risk of AMR. In Colombia, the establishment of partnerships with organizations representing agricultural producers has generated impactful actions such as strengthening ongoing communication channels between the public and private sectors; characterizing the conditions of the agricultural production chain; establishing mechanisms for consultation and validation of health policies related to AMR; obtaining a baseline of indicator pathogens and identification of possible flows of AMR spread; and, finally, achieving knowledge transfer and capacity-building with national and international experts, with actions to raise awareness about the problem of AMR and its impact on public health. The strategic model developed in Colombia through public-private collaboration can inspire other low- and middle-income countries to optimize their use of resources to obtain results that contribute to the national AMR mitigation plan.

Farmers' perception of the barriers that hinder the implementation of agriculture 4.0

CONTEXTAgriculture 4.0 can drive the growth of the agricultural production in emerging countries like Brazil, which is known as one of the primary food and meat producers worldwide, by offering a range of technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain, and Machine Learning. However, the development of agriculture 4.0 in Brazil is a complex process, and more needs to be known about the real barriers that impact its adoption among the actors of the agricultural production chain. There is a need for more empirical studies about the perception of Brazilian farmers regarding the barriers that may compromise the successful path of agriculture 4.0. OBJECTIVEThis article aims to validate the barriers that hinder the development of agriculture 4.0 in the agricultural production chain of Southern Brazil. METHODSTwenty-five barriers were chosen for validation based on a systematic review of the existing literature. A confirmatory factor analysis was performed using the statistical tests of Kaiser-Meyer-Olkin and Bartlett. Validation was performed through the perception of farmers (n = 347) located in the states of Rio Grande do Sul, Santa Catarina, and Paraná. The data were collected from an online questionnaire that identified the importance of the barriers for the farmers in the sample. RESULTS AND CONCLUSIONSThe most frequent and important barriers mentioned by the farmers were: lack of infrastructure, lack of solutions accessible to farmers, need to foster R&D and innovative business models, age group risk, and lack of efficacy in the data on the rural environment. This information can contribute to constructing a framework that seeks to overcome these barriers, thus facilitating the expansion and dissemination of agriculture 4.0 in Brazil. SIGNIFICANCEThis study found that there is an open discussion about the barriers that hinder the adoption of agriculture 4.0 in the agricultural production chain. It will be necessary to further investigate the most prominent barriers in this study, as these may have significant impacts on other barriers. Thus, a systemic research that seeks to improve the conditions for implementing agriculture 4.0 is of great importance.

Al-ʿUcha

<i>Al-ʿUcha</i>

Cooperation between specialized cropping and livestock farms at local level reduces carbon footprint of agricultural system: A case study of recoupling maize-cow system in South China

Decoupling of crop and livestock production has become increasingly common in the world during to past decades. The cooperation between specialized crop and livestock farms have been paid more attention for the development of sustainable agriculture. This study assumed that rebuilding the linkage between specialized crop and livestock farms through cooperation at the local level would decrease agricultural GHG emissions. Therefore, we designed a cooperative crop-livestock farming model (CCLS) in South China by recoupling the cow farm with the sweet maize cultivation farms around it to demonstrate the hypothesis based on carbon footprint (CF) method. The CFs under two cooperative scenarios (CCLS20 and CCLS50) were compared with the corresponding decoupling models (DCLS20 and DCLS50). Results showed that CCLS significantly reduced GHG emissions from cropping systems in comparison to DCLS primarily by increasing the soil organic carbon storage while decreasing accumulative N2O emissions. In specific, the CFs of CCLS20 and CCLS50 were 48.78% and 623.34% lower than DCLS20 and DCLS50, respectively. The yield-based CFs of CCLS20 and CCLS50 were 66.30% and 165.99% lower than DCLS20 and DCLS50, respectively. Meanwhile, the CF of the cow farm in CCLS20 and CCLS50 were 8.80% and 8.22% lower than that in DCLS20/50 by lowering relative GHG emissions of straw supply in roughage forage and shortening manure storage time in the manure management process. Finally, the yield-based CF in CCLS20 and CCLS50 were 67.68% and 168.51% lower than the DCLS20 and DCLS50, respectively, demonstrating that the cooperation between specialized planting and livestock farms at local level reduced the CF of the agricultural production chain by the synergistic reduction effects of GHG emissions in cropland, livestock rearing and transportation processes. The results would provide a quantitative understanding of the net GHG emission of cooperative crop-livestock system at the local level in China and valuable information for the development of sustainable farming system in the world.

Stable fly outbreaks in Brazil: a 50-year (1971-2020) retrospective.

Over the last decades, stable fly (Stomoxys calcitrans) outbreaks associated with agricultural and/or livestock production systems have become a serious problem in some Brazilian locations. This article presents a survey on the history, evolution and mapping of such outbreaks in Brazil over five decades (1971-2020). Outbreaks (n= 579) were recorded in 285 municipalities from 14 states, mainly associated with by-products from the ethanol industry (82.7%), in natura organic fertilizers (12.6%) and integrated crop-livestock systems (3.1%). Few cases were reported until the mid-2000s, progressively increasing since then. Outbreaks associated with ethanol mills occurred in 224 municipalities, mainly in Southeast and Midwest states, while those associated with organic fertilizers (mainly poultry litter and coffee mulch) affected 39 municipalities, mostly in the Northeast and Southeast states. More recently, outbreaks in integrated crop-livestock systems during the rainy season have occurred in Midwest states. This survey highlights the magnitude of the problem of stable fly outbreaks in Brazil and its relationship with environmental public policies, agricultural production chains and regional trends. Specific public actions and policies are urgently needed to prevent their occurrence and impact in the affected regions.