Agricultural Value Research Articles

UAV-based field watermelon detection and counting using YOLOv8s with image panorama stitching and overlap partitioning

Accurate watermelon yield estimation is crucial to the agricultural value chain, as it guides the allocation of agricultural resources as well as facilitates inventory and logistics planning. The conventional method of watermelon yield estimation relies heavily on manual labor, which is both time-consuming and labor-intensive. To address this, this work proposes an algorithmic pipeline that utilizes unmanned aerial vehicle (UAV) videos for detection and counting of watermelons. This pipeline uses You Only Look Once version 8 s (YOLOv8s) with panorama stitching and overlap partitioning, which facilitates the overall number estimation of watermelons in field. The watermelon detection model, based on YOLOv8s and obtained using transfer learning, achieved a detection accuracy of 99.20 %, demonstrating its potential for application in yield estimation. The panorama stitching and overlap partitioning based detection and counting method uses panoramic images as input and effectively mitigates the duplications compared with the video tracking based detection and counting method. The counting accuracy reached over 96.61 %, proving a promising application for yield estimation. The high accuracy demonstrates the feasibility of applying this method for overall yield estimation in large watermelon fields.

A multiscale and multiperspective quantifying framework for spatial patterns and influencing mechanisms of geographical indications

Geographical indications (GIs) embody distinctive regional elements characterized by widespread spatial distribution, serving as vital agricultural intellectual properties and significant tourism assets. This case study introduces a multiscale and multi-perspective quantification framework for Shandong Province, focusing on spatial agglomeration, association, and heterogeneity. This approach quantitatively explores GIs’ spatial patterns and influencing mechanisms, analyzing both at the monomer and regional scales, considering static and dynamic perspectives. Leveraging methods such as kernel density analysis, Moran’s I index, Geary’s C index, Internet hot word analysis, and Geodetector, the coastal municipalities, prosperous urban areas, and zones with high-quality arable soils were identified as spatial agglomeration areas for GIs. The study revealed a strong correlation between the spatial distribution pattern of socioeconomic factors and GIs’ spatial density from a static perspective. However, diminished spatial autocorrelation was observed for GIs’ public perception from a dynamic standpoint, indicating a reduced influence of Internet connectivity. The spatial heterogeneity in GIs is determined by multiple interconnected factors, displaying an enhancement effect between any two influencing factors. Among the 15 influencing factors analyzed, urbanization rate; gross value of agricultural, forestry, animal husbandry, and fishery production; and per capita gross domestic product significantly contribute to spatial heterogeneity effects at both urbanization rate, gross value of agriculture, forestry, animal husbandry, fishery production, and per capita gross domestic product significantly contributed to spatial heterogeneity effects at regional and monomer scales. The results suggest that GIs are likely to flourish with regional economic growth. The analytical framework and quantification methods support exploring and sustainably utilizing GIs, improving output quality, and modernizing GIs’ production, ultimately contributing to regional agriculture’s high-quality and sustainable development.

Integrating system dynamics to value chain analysis to address price volatility in the Indonesian chilli value chain

The price volatility observed in agricultural value chains presents a significant socio-economic challenge, particularly for smallholder farmers. The issue of price volatility in agricultural value chains is complex due to the dynamic and interconnected nature of these value chains. The objective of this study is to integrate system dynamics with value chain analysis in order to address price volatility in the Indonesian chilli value chain. In order to ensure stakeholder engagement and enhance the robustness of the proposed solutions, a participatory approach will be employed. The utilisation of system dynamics enables the quantitative simulation of the inherent dynamics of the chilli value chain, thereby facilitating both ex-ante and ex-post assessment of policy interventions. A collaborative process with stakeholders was employed to develop, test, and validate a system dynamics model that operates at both provincial and national levels. The findings demonstrate that the model accurately replicates the price volatility observed in the Indonesian chilli market. The key factors contributing to this volatility are seasonal production, disorganised market governance and high postharvest losses. The analysis of policy options indicates that while the importation of chillies can stabilise prices in the short term, it has a negative impact on the income of those involved in the value chain. More sustainable solutions to mitigate price volatility include the implementation of year-round planting and the enhancement of market governance. These strategies present potential avenues for achieving a more stable and equitable chilli market, offering valuable insights for broader agricultural value chain stability.

Competitiveness and Cereal Self-Sufficiency in Western Balkan Countries

Crises like the COVID-19 pandemic, the Russian-Ukrainian war, and challenges associated with sustainable development have emphasized the need for local food to increase the food system’s resilience. Therefore, this research analyzes the food self-sufficiency ratio (SSR) and revealed comparative advantage (RCA) of cereals in Western Balkan countries (Serbia, Bosnia and Herzegovina, Montenegro, Albania, and North Macedonia) and compares them with the same indicators for all European countries. The methodological framework of this research examined the food self-sufficiency and macro-level competitiveness for cereals in Western Balkan countries, as well as in Europe. The results of the research showed that all European countries have higher self-sufficiency in cereals (109.12%) and higher revealed comparative advantage (2.21) compared to the group of Western Balkans countries (71.89%; 1.53), which have lower values of the mentioned indicators. The results of econometric modeling for the Western Balkan countries showed that GDP per capita negatively influences the SSR of cereals, and agriculture value added per worker and area harvested under cereals positively influence the SSR of cereals. When it comes to the influence on the RCA of cereals in the Western Balkan region, the critical influence is GDP per capita, political stability, and agriculture value added per worker, all of which positively influence the RCA.

Estimation of phosphorus input on county-based scale is more appropriate to formulate phosphorus management policies

The excessive phosphorus input generated by human activities has broken the nutritional balance of ecosystem. This study focused on the Three Gorges Reservoir Region, where human activities are concentrated. It involved the innovative selection of county subunits to provide a clearer analysis of different components contributing to net anthropogenic phosphorus input (NAPI) and factors impacting it on a smaller scale, opening up a new horizon for more accurately formulating phosphorus management policies. The results showed that NAPI of the reservoir region maintained a high level (2641.84 kg·km−2·a−1), while showing significant spatial variation due to high input (>4200 kg·km−2·a−1) at an urban agglomeration in the reservoir region. Phosphorus fertiliser made the largest (63 %–64 %) contribution to NAPI in the reservoir region, but different compositions of the component determining NAPI were shown among the counties. The sensitive coefficient (2.36) of phosphorus fertiliser in the reservoir region was the largest, the sensitive coefficients and proportional contributions in counties also varied among the counties. The findings of this study showed that reducing the input of phosphorus fertiliser and improving the utilization rate of phosphorus are direct methods for reducing NAPI in the Three Gorges Reservoir Region. Furthermore, improving the methods of treating human domestic waste and sewage can alleviate the high input pressure of phosphorus. The spatial differentiation of NAPI in the analyzed counties was mainly affected by the increase in phosphorus fertiliser and gross output value of agriculture, along with increasing urbanization, population densification, and greater economic activity in Chongqing compared with the other counties. Moreover, the components, sensitivities, contributions and impact factors in the counties were heterogeneous due to socio-economic, agricultural, and geographical characteristics, so it might be more appropriate to formulate phosphorus management policies on a smaller county-based scale.

Modelos Multietápicos para la Migración Rural-Urbana y la Producción Agrícola en Perú: 2022

Based on the New Economics of Labor Migration (NELM), rural-urban migration has a significant and adverse impact on the agricultural production of peruvian households. The emigration of a household member to urban areas is related, on average, to a reduction in the value of the household’s agricultural production of up to 48%. It is essential to implement policies that address the economic and social challenges derived from this migration, as well as promote strategies that guarantee the food security of rural communities, recognizing the crucial role of active agricultural workers in this process. Remittances also exert a negative influence on agricultural productive value, although moderate, with a drop of 12% compared to an increase of 10%. This last finding contradicts the results of Taylor (1999) and Bassie et al. (2022), where a positive relationship is established.

Smallholder Challenges of Social and Economic Upgrading in Agricultural Value Chains: A Cross-country, Cross-crop Comparison

This study is based on field research conducted by an international team of researchers investigating the opportunities for social upgrading of smallholder farm owners and tenants and their workers in the Global South. The main objective has been to assess the influence of crop characteristics, end markets, and value chain governance (including product and process standards), as well as national political, economic, and cultural contexts, on the conditions of farmers and farmworkers. Accordingly, the selected crops differ along the axes of domestic versus international end markets and short versus long shelf-life: coffee (cash crop), rice (staple crop), and mangoes (perishable crop). The selected countries are Bangladesh, Brazil, Colombia, Ghana, India, Pakistan, and Vietnam. Our main findings relate to the importance of collective action by key stakeholders, including smallholders and a supportive state, for economic and social upgrading.

Deciphering the crux of women's empowerment in agricultural value chains – A scoping review

This review paper highlights the essential requirement of women in agricultural practices and emphasizes gender equality and their contribution to household productivity and food security. The paper discusses the various stages of the value chain and identifies entry points for interventions aimed at enhancing women's participation and benefits and also evaluates the efforts meant to empower women within the agriculture sector, especially to determine women's involvement in the Agricultural Value Chain (AVC). Evaluation of women's empowerment using diverse approaches such as the REBT Framework, and WEAI in various countries was analyzed by using the PRISMA framework and concluded with the emerging new methodology of PRO-WEAI developed by IFPRI to focus on the empowerment of women relevant to the value chain. WEAI-type tools allow for direct comparison between men and women in the same households. This approach offers additional advantages, such as having an explicit link to empowerment theory and using both qualitative and quantitative data to develop and validate the Index. The paper concludes that the emergence of pro-WEAI offers a streamlined and improved tool for analyzing intrahousehold characteristics. It incorporates a gender parity index, enhancing the measurement process. This index is also utilized for calculating GDP per capita, providing a more accurate assessment of economic conditions. Overall, pro-WEAI's concise structure and comprehensive approach make it a superior choice for measuring women's empowerment in the agricultural sector.

Value chain interventions for improving women's economic empowerment: A mixed-methods systematic review and meta-analysis: A systematic review.

Value chain interventions have become widespread throughout the international development sector over the last 20 years, and there is a need to evaluate their effectiveness in improving women's welfare across multiple dimensions. Agricultural value chains are influenced by socio-cultural norms and gender dynamics that have an impact on the distribution of resources, benefits, and access to opportunities. While women play a critical role in agriculture, they are generally confined to the least-valued parts of the value chain with the lowest economic returns, depending on the local, social and institutional contexts. The review assesses the effectiveness of approaches, strategies and interventions focused on women's engagement in agricultural value chains that lead to women's economic empowerment in low- and middle-income countries. It explores the contextual barriers and facilitators that determine women's participation in value chains and ultimately impact their effectiveness. We searched completed and on-going studies from Scopus, Web of Science Core Collection (Social Sciences Citation Index [SSCI], Science Citation Index Expanded [SCI-EXPANDED], Conference Proceedings Citation Index - Science [CPCI-S], Conference Proceedings Citation Index - Social Science & Humanities [CPCI-SSH], and Emerging Sources Citation Index [ESCI]), International Bibliography of the Social Sciences, EconLit, Business Source Premier, APA PsycInfo, Cochrane Central Register of Controlled Trials, Cochrane, Database of Systematic Reviews, CAB Abstracts and Sociological Abstracts. We also searched relevant websites such as Consortium of International Agricultural Research Centers (CGIAR); the International Fund for Agricultural Development (IFAD); AgriProFocus; the Bill & Melinda Gates Foundation (BMGF); Donor Committee for Enterprise Development; the UN Food and Agriculture Organisation (FAO); the International Labour Organisation (ILO); the Netherlands Development Organisation; USAID; the Swiss Agency for Development and Cooperation; the International Food Policy Research Institute; World Agroforestry; the International Livestock Research Institute; the Foreign, Commonwealth & Development Office; the British Library for Development Studies (BLDS); AGRIS; the IMMANA grant database; the 3ie impact evaluation database; Innovations for Poverty Action (IPA); The Abdul Latif Jameel Poverty Action Lab (J-PAL); the World Bank IEG evaluations; the USAID Development Data Library; Experience Clearinghouse; the proceedings of the Agriculture, Nutrition and Health Academy conference; the proceedings of the Centre for the Study of African Economies (CSAE) Conference; the proceedings of the North East Universities Development Consortium (NEUDC) Conference; and the World Bank Economic Review. The database search was conducted in March 2022, and the website search was completed in August 2022. The review includes value chain interventions evaluating the economic empowerment outcomes. The review includes effectiveness studies (experimental and non-experimental studies with a comparison group) and process evaluations. Two review authors independently assessed studies for inclusion, extracted data, critically appraised the studies, and synthesised findings. We found that value chain interventions are successful in improving the economic conditions of their intended beneficiaries. The interventions were found to improve women's economic outcomes such as income, assets holdings, productivity, and savings, but these effects were small in size and limited by low confidence in methodological quality. The meta-analysis suggests that this occurs more via the acquisition of skills and improved inputs, rather than through improvement in access to profitable markets. The qualitative evidence on interventions points to the persistence of cultural barriers and other constraints. Those interventions implemented in Sub-Saharan Africa and South Asia are consistently more successful for all outcomes considered, although there are few studies conducted in other areas of the world. The review concludes that value chain interventions empower women, but perhaps to a lesser extent than expected. Economic empowerment does not immediately translate into empowerment within families and communities. Interventions should either moderate their expectations of empowerment goals, or they should be implemented in a way that ensures higher rates of participation among women and the acquisition of greater decision-making power.

Europe's orchard: The role of irrigation on the Spanish agricultural production

In the latter half of the twentieth century, Spanish agriculture witnessed sustained production growth, aligning with Western European levels after a period of lag in both production and productivity. This growth predominantly occurred in the warm, sunny provinces of southern and eastern Spain, which specialized in high-value crops such as fruits, vegetables, and olive oil. Various factors have been identified in the scientific literature as contributors to this transformation, including technological innovations, the internationalization of Spanish agriculture, domestic development, and advancements in irrigation. This paper aims to examine the impact of irrigation on Spanish agricultural production, focusing on the creation of regional and productive disparities since the mid-twentieth century. These diverse effects have been crucial in shaping the regional and product-specific specialization patterns that characterize the historical dynamism of Spanish agriculture. To that aim, we have compiled a comprehensive database containing detailed information on agricultural production values, irrigated and rainfed area and yields. The level of disaggregation of data, both in terms of production and regional breakdowns, enables us to identify specific regional and crop patterns. Additionally, this study highlights the significant and regionally varied transformations within the Spanish agricultural sector over the long term, which have had profound effects on rural areas.

Seed to Sustenance: A Comprehensive Review of Wheat's Agricultural Value Chain

Seed to Sustenance: A Comprehensive Review of Wheat's Agricultural Value Chain

Genetic analysis of yield components in buckwheat using high-throughput sequencing analysis and wild resource populations.

Fagopyrum tataricum, an important medicinal and edible crop, possesses significant agricultural and economic value. However, the development of buckwheat varieties and yields has been hindered by the delayed breeding progress despite the abundant material resources in China. Current research indicates that quantitative trait loci (QTLs) play a crucial role in controlling plant seed type and yield. To address these limitations, this study constructed recombinant inbred lines (RILs) utilizing both cultivated species and wild buckwheat as raw materials. In total, 84,521 Single Nucleotide Polymorphism (SNP) markers were identified through Genotyping-by-Sequencing (GBS) technology, and high-resolution and high-density SNP genetic maps were developed, which had significant value for QTL mapping, gene cloning and comparative mapping of buckwheat. In this study, we successfully identified 5 QTLs related to thousand grain weight (TGW), 9 for grain length (GL), and 1 for grain width (GW) by combining seed type and TGW data from 202 RIL populations in four different environments, within which one co-located QTL for TGW were discovered on the first chromosome. Transcriptome analysis during different grain development stages revealed 59 significant expression differences between the two materials, which can serve as candidate genes for further investigation into the regulation of grain weight and yield enhancement. The mapped major loci controlling TGW, GL and GW will be valuable for gene cloning and reveal the mechanism underlying grain development and marker-assisted selection in Tartary buckwheat.

Nonnative pest establishment: Spatial patterns and public detection

Early detection of new pests can reduce their long-term impacts by enabling more rapid management response. Knowledge of pest establishment risk and background rates of detection (e.g., by the public) can help inform more cost-effective targeting of formal early detection survey programs. Here we quantify county-level locational attributes associated with pest establishment and detection by the public using data for 113 new pest incursions detected in the United States from 2010 through 2018. Aligning with expectations, we find a higher likelihood of new pest establishment in counties with higher human population numbers, nearer to ports (<250 km), and with amenable climate characteristics. Controlling for potential sample selection issues, we find that pests are less likely to be first detected by the public (e.g., homeowners, community members) versus by other sources (e.g., agency surveys, researchers, or agricultural operators) in counties with higher total crop sales values and lower human population number. The negative association between public detection and high agricultural values may reflect greater survey efforts by other sources (e.g., by agency surveillance programs, researchers, and agricultural operators) in high-value agricultural areas. The positive association between public detection and human population size may reflect larger numbers of public detectors (i.e., people) available to encounter the pests. Our models provide spatially explicit estimates of the likelihood of new pest establishment across U.S. counties and of the likelihood that an established pest would first be detected by the public. These estimates can serve as quantitative inputs to decision-support activities for new pest surveillance planning.

Strategies for combating plant salinity stress: the potential of plant growth-promoting microorganisms.

Global climate change and the decreasing availability of high-quality water lead to an increase in the salinization of agricultural lands. This rising salinity represents a significant abiotic stressor that detrimentally influences plant physiology and gene expression. Consequently, critical processes such as seed germination, growth, development, and yield are adversely affected. Salinity severely impacts crop yields, given that many crop plants are sensitive to salt stress. Plant growth-promoting microorganisms (PGPMs) in the rhizosphere or the rhizoplane of plants are considered the "second genome" of plants as they contribute significantly to improving the plant growth and fitness of plants under normal conditions and when plants are under stress such as salinity. PGPMs are crucial in assisting plants to navigate the harsh conditions imposed by salt stress. By enhancing water and nutrient absorption, which is often hampered by high salinity, these microorganisms significantly improve plant resilience. They bolster the plant's defenses by increasing the production of osmoprotectants and antioxidants, mitigating salt-induced damage. Furthermore, PGPMs supply growth-promoting hormones like auxins and gibberellins and reduce levels of the stress hormone ethylene, fostering healthier plant growth. Importantly, they activate genes responsible for maintaining ion balance, a vital aspect of plant survival in saline environments. This review underscores the multifaceted roles of PGPMs in supporting plant life under salt stress, highlighting their value for agriculture in salt-affected areas and their potential impact on global food security.

An evaluative framework for inclusive agricultural value chain policies and interventions – Case: Mali

Advancing food security requires multi-level and inclusive approaches. This article presents a novel framework to (E) evaluate the social inclusiveness of policies and interventions (PIs) towards (V) vulnerable social groups in (A) agricultural value chains. The EVA-framework is applicable to any value chain, geography and vulnerable group. We apply it to the irrigated vegetable value chain of Mali, analyzing the social inclusiveness of weighted PIs towards women and youth. We find that respective PI formulation in Mali is largely not inclusive. Only few PIs set specific targets, quotas or a financial budget for women and youth inclusion. To be inclusive PIs need to consult targeted social groups, include clear targets, budgets, and accountability mechanisms, and be monitored and evaluated.

Smart Solutions for Sustainable Agriculture: Design and Development of IoT-Powered Soil Health Identification Systems

This research examines smart solutions for agricultural sustainability using IoT-powered soil health detection systems. Innovative solutions are needed to manage resources and protect the environment as the world population grows and agricultural resources are under strain. IoT-enabled soil health monitoring has great potential. The suggested system uses IoT sensors to measure soil moisture, pH, nutrient content, and temperature in real time. This data is analyzed using powerful data analytics and machine learning algorithms to provide farmers soil health information. Monitoring soil quality allows farmers to make educated irrigation, fertilization, and crop selection choices, optimizing resource use and yields while minimizing environmental effect. The study also examines sensor selection, data transmission methods, and data security for IoT-powered soil health detection systems. Widespread use of these technologies might boost agricultural output, lower input costs, and enhance food security. Finally, IoT-powered soil health detection systems are a major step toward agricultural sustainability. These devices enable precision farming that is ecologically friendly and profitable by giving real-time soil data. However, effective implementation would need agricultural value chain stakeholders to collaborate and continued research to address growing issues and possibilities.

Ashok Gulati, Kavery Ganguly, Harsh Wardhan, (Eds): Agricultural value chains in India: ensuring competitiveness, inclusiveness, sustainability, scalability, and improved finance

Ashok Gulati, Kavery Ganguly, Harsh Wardhan, (Eds): Agricultural value chains in India: ensuring competitiveness, inclusiveness, sustainability, scalability, and improved finance

Tugwi Mukosi Dam and Climate Change: Unlocking Economic Value from Field Cropping for Chivi and Masvingo Rural Districts

Climate change is real and water harvesting is a promising strategy for food and income insecurity for struggling communities. This study proposes how crop agricultural crop value can be unlocked by Masvingo and Chivi rural district communities around and downstream Tugwi Mukosi Dam (TMD). The TMD is Zimbabwe’s largest inland water body is located at the confluence of Tugwi-Mukosi rivers. The dam is on the boundary of in the two districts of Masvingo Province. The study applied both qualitative and quantitative data from Zimbabwe’s Ministry of Lands, Water, Agriculture Fisheries and Rural Development, Tongaat Hulett Zimbabwe Limited, local leadership (elected and traditional), development agencies in Chivi, and Masvingo districts, the Zimbabwe National Water Authority (ZINWA), as well as agronomists from a local university. Study participants were purposively selected. Interviews, observation and questionnaires were the main data collection instruments. Findings from this study established that local communities around and downstream this dam still suffer severe food and income insecurity despite being on the fringes of this mega water body. It also established vast agricultural crop potential for local communities given supportive national policy and capital investment by the government. It established that the dam was planned and constructed to serve economic interests of corporates only. The study recommends liberalisation of the ZINWA policy to allow local communities to benefit fully from the dam, particularly now as the districts suffer the effects of climate change.

A framework for analyzing climate change impacts on agricultural value chain

A framework for analyzing climate change impacts on agricultural value chain

The value of organic agriculture beyond contemporary food sufficiency in the developing world

Understanding the value of organic agriculture beyond contemporary food sufficiency is crucial in addressing sustainable agriculture and the welfare of the community. Yet, economic analysis of agricultural output usually focuses on crop yield rather than other intangible values related to environmental health, which mainly encompass human health and the environment. The non-marketable value of the ecosystem services in organic agriculture is always higher than in conventional agriculture. When the non-market value is considered during yield assessment, the difference in crop yield between organic and conventional agriculture may be insignificant or even higher for organic. This paper aims to give a gritty overview of the intangible values of organic agriculture in comparison with conventional agriculture to account for other environmental and health benefits associated with organic farming. This is crucial because productive agroecosystems for sustainable development should be able to meet the needs of the present generation without compromising the ability of the future generation to meet their needs. It has been revealed that the application of ecological principles under organic agriculture brings several environmental and socio-economic benefits. Therefore, there is a need to explore some insights into the values of organic agriculture beyond the contemporary food sufficiency which are usually given less attention during economic analysis, for increased understanding and adoption of this kind of farming to harness the associated potentials.