Indian Agriculture Research Articles

Organic Farming in India: A Dual Strategy for Climate Change Adaptation and Mitigation

Recent decades have transformed Indian agriculture from traditional methods to a mechanized system reliant on fossil fuels, chemical fertilizers, and pesticides, increasing greenhouse gas emissions and impacting global climate. Higher greenhouse gas levels, including carbon dioxide, methane, and ozone are likely, causing the observed rise in air temperatures and leading to significant climate shifts. In most subtropical regions, a 4°C rise in global temperatures is anticipated to reduce groundwater and surface water, heightening food demand and threatening global food security. Climate change denotes long-term, significant alterations in climate measurements. A production system that maintains the health of ecosystems, soils, and human populations is known as organic farming (IFOAM 2006). Organic farming is energy-efficient and reduces greenhouse gas emissions by minimizing chemical and fossil fuel use, while enhancing soil carbon, biodiversity and fertility. It reuses plant and animal waste to restore soil nutrients, relies on renewable resources and supports sustainable, low-pollution management. Organic farming not only helps to mitigate climate change but also provides lasting benefits as an adaptation strategy. Effective nutrient management and carbon sequestration in soils are crucial for adapting and mitigating climate change across diverse temperature zones and local conditions.

Pulses in India: Comprehensive Analysis of Production, Challenges, and Strategic Vision for 2030

Despite of immense growth of Indian agriculture, food and nutritional security is still a challenge due to biasedness towards wheat and rice. As production of pulses in the recent decade has not increased in pace with the increase in population. Pulses are a major source of protein in Indian diet and also environment friendly. Therefore, the increase in pulse production will act as an accelerator for nutritional security. This study analyses the nutritional value of pulses, status of pulses economy in India comprising of import, export and consumption status as well as a strategic vision for 2030 towards promotion of pulses in the country. Pulses form one of the most important group of crops in India, which is also responsible for yielding large financial gains by amounting to a large part of the exports. Of all categories of people, pulses form an integral part of the Indian diet, providing much-needed protein to the carbohydrate-rich diet. For farmers, pulses are an important crop because they can both sell them and consume them, which helps farmers maintain household food security and creates economic stability. Being leguminous crops, they help in restoring soil fertility by utilising nitrogen from the air (nitrogen fixation). Therefore, pulses are mostly grown in rotation with other crops. They need less moisture and survive even in dry conditions. India is the largest producer as well as consumer of pulses in the world. The top pulse-producing states in India are Rajasthan, Madhya Pradesh, Maharashtra, Uttar Pradesh, and Karnataka, collectively contribute significantly to the country’s pulse output, yet current production fails to meet domestic demand, leading to imports. The common pulses across globe are black gram, green gram, horse gram, peas, cow peas, pigeon peas, lentils and chick peas. A long-term vision is required for pulses in India because of various aspects like lower yield compared to global average, wide gap between demand and supply, rapid population growth and nutritional as well as environmental value. In this article the challenges and constraints in achieving projected demand of pulses and government policy support for achieving this projected demand have been discussed, addressing the complex dynamics of pulses economy in India.

Rising orthotospovirus incidence in India: Challenges and advances in management

Orthotospoviruses (OV) have emerged as a significant agricultural threat in India, posing a severe risk to critical crops, including tomato, chilli, watermelon and groundnut. This review explores the rising incidence of OV, including Groundnut Bud Necrosis Orthotospovirus (GBNV), Watermelon Bud Necrosis Orthotospovirus (WBNV), Capsicum Chlorosis Orthotospovirus (CaCV), Peanut Yellow Spot Orthotospovirus (PYSV), Iris yellow spot Orthotospovirus (IYSV) and Tomato Spotted Wilt Orthotospovirus (TSWV), along with the challenges in their management. These viruses have led to severe yield losses, sometimes causing complete crop failure due to their wide host range and the polyphagous nature of thrips. This further complicates control efforts by facilitating rapid spread across diverse crops and regions. The review highlights the multifaceted challenges in managing OV and thrips, including the lack of durable host resistance, limited diagnostic capabilities, and difficulties in controlling thrips populations. Current management strategies, including cultural practices, chemical control, biological control and resistant genotype development, have shown limited efficacy in providing long-term solutions. Recent advancements in biotechnological approaches, such as RNA interference, are discussed as promising pathways for improved virus management. The review underscores the need for genome editing techniques, such as CRISPR/Cas9, which offer the capacity to develop virus-resistant plants by targeting essential viral or vector genes to disrupt transmission cycles. Additionally, using nanoparticles for targeted delivery of antiviral compounds and novel detection tools presents another innovative solution to effectively mitigate the impact of OV on Indian agriculture.

The Role and Future Potential of Bio-Fertilizers in Indian Agriculture

Only imports and subsidies have been able to guarantee the availability and affordability of chemical fertilisers made from fossil fuels at the farm level in India. Because of their non-toxicity, affordability, ease of use, and environmental friendliness, biofertilizers are currently a very effective substitute for chemical fertilisers. By making naturally available nutrients in the soil or environment advantageous to plants, they also serve as an adjunct to agrochemicals. If farmers and producers have the proper kind of access to information gleaned through experience and communication, this commodity could eventually show promise economically. The Indian government has been attempting to blend more advanced agrochemicals with biofertilizers. This study focuses on the success and failure issues in the Indian context to increase the potential for sustainable agriculture growth. Additionally, it emphasises the necessity of high levels of innovation, active involvement in scientific research and development, public awareness campaigns, and enticing business organisations and policy leaders to show interest in this area.

Building Agricultural Resilience: Strategies for Climate Change Adaptation

Climate change has a significant impact on India's agriculture, influencing environmental conditions, agricultural techniques, and production. The term "climate-resilient agriculture" refers to technologies, methods, tools, and frameworks aimed at adapting to and mitigating the effects of climate change on agricultural production, food security, and livelihoods. Crop productivity and food security are greatly impacted by climate changes, which calls for creative agricultural methods to maintain food supply while reducing environmental damages. These difficulties are made worse by environmental changes and global population expansion, especially in developing countries. Technological advancements, such as geospatial analysis, and eco-friendly farming technologies, play a crucial role in optimizing land use and enhancing food security. Crop variety adaptation and management of seed, water, land, livestock, soil and nutrients, pest management, risk management, and post-harvest management are examples of effective agricultural adaptation strategies. Technological developments like geographic analysis.

Occupational Injuries in North Indian Agriculture: Product Development and Preventive Measures

Occupational Injuries in North Indian Agriculture: Product Development and Preventive Measures

Reflections on Agroecology and Social Justice in Malwa-Nimar

Recent literature has positioned agroecological transitions as a way of repairing the ‘metabolic and epistemic rift’ brought about by industrial agriculture. Deeper appreciation of the interconnectedness and interpenetration between humans and nature has been at the heart of much thought about agroecology. Social and epistemic justice have been incorporated as almost inherent to the definition of agroecology for many involved in theorising about it worldwide, especially thought coming out of Latin America on ‘emancipatory agroecologies’. In view of the historical inequalities in agriculture in Malwa-Nimar, India, along caste, gender and class lines, this research seeks to explore the extent to which agroecology as currently practiced is emancipatory, and what challenges exist to overcoming structural inequalities. Findings show that, while more privileged farmers are able to find ways to repair the metabolic and position themselves as agents of epistemic change, sustaining their agroecological practice within current economic structures makes them dependent on relationships with labour and networks that may reify historical social and epistemic inequalities. This points to a need to embed the agroecology movement in a larger process of systems change in the region that seeks social-justice-centred rural transformation.

Assessing temporal dynamics of nitrogen surplus in Indian agriculture: district scale data from 1966 to 2017

Nitrogen (N) is essential for agricultural productivity, yet its surplus poses significant environmental risks. Currently, over half of applied nitrogen is lost, resulting in resource wastage, contributing to increased greenhouse gas emissions and biodiversity loss. Excess nitrogen persists in the environment, contaminating soil and water bodies for decades. Quantifying detailed historical N-surplus estimation in India remains limited, despite national and global-scaled assessments. Our study develops a district-level dataset of annual agricultural N-surplus from 1966-2017, integrating 12 different estimates to address uncertainties arising from multiple data sources and methodological choices across major elements of the N surplus. This dataset supports flexible spatial aggregation, aiding policymakers in implementing effective nitrogen management strategies in India. In addition, we verified our estimates by comparing them with previous studies. This work underscores the importance of setting realistic nitrogen management targets that account for inherent uncertainties, paving the way for sustainable agricultural practices in India, reducing environmental impacts, and boosting productivity.

Role of Information Technology in Agriculture : A Review

Information Technology (IT) is the application of computers and telecommunications equipment to store, retrieve, transmit and manipulate data, often in the context of a business, education or other enterprise. This paper reviewed the India’s IT Industry and in addition studied the Impact of IT on the Indian Agriculture. To improve the quality of agricultural products and production using information technology that requires efficiency and information in all sectors of agriculture. Information technology support new methods and ideas for precision and healthy agriculture used computers in farm, climate or weather forecasting, use of method and materials and kind of crops. In this paper I tried to find how information technology is useful for making choices to setting goals, improve planning and produce better agriculture products and study the key elements and basic issues of information technology in agriculture.

Natural farming in India: A sustainable alternative to conventional agricultural practices​​

Natural farming in India: A sustainable alternative to conventional agricultural practices​​

Export Potential of Fruits for Boosting Secondary Agriculture in India

This study examined the export dynamics of major fruits and their processed products, employing the Markov Chain Technique to assess trade patterns and pinpoint promising export markets. The analysis underscored the growth potential in secondary agriculture, particularly through value addition. In 2022-23, fresh fruit exports generated ₹5,658.9 crore, while processed fruit exports amounted to ₹5,944.49 crore, with respective compound annual growth rates of 16.31 and 13.62 per cent over the past two decades. The importance of value addition was evident in the substantial export revenue from processed mango products, which brought in ₹2,937.17 crore compared to ₹378.49 crore for fresh mangoes alone. Key stable markets for processed mangoes include the U.K., Netherlands, and Saudi Arabia, while the UAE served as a crucial market for both fresh and processed mangoes. Fresh grapes also contributed significantly to exports, earning ₹2543.42 crore with an impressive growth rate of 18.58 per cent; primary export markets for grapes include the Netherlands, Bangladesh, and the UAE. Overall, secondary agriculture presents significant untapped potential for processed products, offering valuable opportunities to improve farmers' livelihoods.

Seed Morphology and Tetrazolium Quick Seed Viability Test of Malabar Neem (Melia dubia Cav.) Under Laboratory Condition

Melia dubia Cav. commonly known as Malabar Neem, is an economically important fast-growing indigenous multipurpose tree species of India. It has a wide range of applications from medicinal utilities such as treating pain, fever, and infections, to agricultural and industrial uses viz., fodder, seed oil, resin, fuel wood, timber and its wood being utilized in the paper, matchbox, and plywood industries. Malabar Neem generally is distributed in tropical and sub-tropical regions of India and introduced in many countries of South Africa, the Middle East, North and South America, Brazil, Bermuda, Argentina, Southern Europe, Southeast Australia, and Asia Pacific regions. Nevertheless, it is a most promising tree species which is highly suitable for agroforestry or farm forestry with a life cycle of 8 to 12 years that gaining economic importance both in domestic and global markets and plantations in degraded lands. Consequently, the demand of Melia seedlings among Indian farmers has been increased, however the poor seed viability and very low seed germination hampered the good quality nursery production and large-scale plantations. Before seed sowing in nursery, there is need to determine the actual seed viability and to know the required seed quantity of Melia to be sown in forest nursery. Therefore, the present research study was conducted at Dr. Y. S. Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh of India to study the seed morphology and seed viability testing protocol using tetrazolium (TZ) test. The seeds of Melia species stained with 0.5, 1.0, 1.5 and 2.0 % solution of TZ and incubated at 30°C temperature for 24 hours. The tetrazolium test performed with 100 seeds in 4 replications in CRD design and analyzed with OPSTAT statistical software. The length, width and weight of fruit, drupe and seed were recorded in the range of 9.40-12.97 mm, 6.55-9.70 mm & 2.84-2.99 g; 5.84-14.32 mm, 2.76-9.72 mm & 1.672-1.798 g; and 1.2-1.98 mm, 1.02-2.98 mm & 3.12-3.74 g, respectively. The colour of fruit was yellow with oval shape having smooth surface. The result of TZ test showed that the seeds of Malabar Neem soaked in 0.5 % tetrazolium solution at 30 °C temperature for 24 hours found to be the highest seed viability percentage (40.25 %) which is recommended as a quick seed viability protocol in M. dubia. Overall, the results of the present research study fulfilled all the gaps to test quick seed viability of a seed lot before seed sowing in nursery for accurate knowledge of the seed requirement in quantity for the purpose of quality seedling production in nursery.

Impact of Formal Seed Sources on Smallholder Farming in India: Evidence from NSS Survey using Propensity Score Matching

Impact of Formal Seed Sources on Smallholder Farming in India: Evidence from NSS Survey using Propensity Score Matching

Assessing Key Constraints in Cashew Production: Insights from Kerala and Tamil Nadu, India

India ranks among the world’s top cashew producers, with Kerala and Tamil Nadu serving as key contributors to the country's cashew production. Among the Plantation sector, specifically cashew cultivation plays a pivotal role in boosting farm economy in India. This particular study explores field constraints experienced by cashew growers in Kerala and Tamil Nadu, which significantly impacts cashew cultivation. The key objective is to compare field challenges experienced by cashew growers among major producers in southern regions of India. The methodology involves a purposive multi-stage sampling approach to select regions, with an equal proportion of 80 respondents from each state selected through simple random sampling. Totally, 160 cashew growers were investigated for data collection through pre-tested structured interview schedule. The data sets were analysed using SPSS software, with frequency and percentage analysis employed to rank the identified constraints. The significant findings were pest and disease infestations, labour scarcity, unstable market price, lack of technical know-how and inadequate processing facilities. Notably, 100 per cent of growers reported that, Cashew Stem and Root Borer (CSRB) infestation as a most critical issue in both states. This paper highlights, region-specific and timely technical interventions, commodity-specific assured markets, proper pricing system and infrastructure development. The study's interpretation highlights the need to address high-priority and specialized constraints through targeted policy reforms and technical support systems, aiming to enhance the productivity and sustainability of cashew farming in India. These findings also provide valuable insights that can be applied to other cashew-producing regions and contribute to shaping national agricultural policies.

Mini Tractor Operated Groundnut Digger Cum Inverter: A Concept

Groundnut holds a pivotal role in Indian agriculture, serving as a critical crop contributing to both the economic and nutritional sectors of the country. Timely harvesting of groundnut is a crucial phase in its cultivation, particularly during peak seasons, when labor shortages can lead to delays, resulting in significant yield losses. To mitigate labor constraints during peak harvesting periods and ensure timely operations, a conceptual model of a groundnut digger has been proposed. This digger is designed to uproot, collect, and transport groundnut plants, inverting them as it moves through the field. The groundnut digger consists of two primary units: a digging unit and a conveying unit. The digging unit is engineered to penetrate the soil to a precise depth, extracting the groundnut plants along with the attached pods to the surface. The conveying unit is responsible for lifting the plants and transporting them to a pod-inverting mechanism, which inverts the plant to reduce the risk of aflatoxin contamination in the pods due to excessive soil moisture.

Markov Chain Analysis of Land-use Changes in India and Maharashtra

Dynamics of Agriculture resembles the history of agriculture in India which examines the emphasizing significance to the nation's legacy, culture and civilization. India's agriculture changed after independence from a food-scarce nation to one that exports food this comes true primarily due to the result of scientific advancements. The present study is based on secondary data with the use of Markov Chain analysis to ascertain land-use changes in India and Maharashtra state. Changes in land use brought on by agriculture, urbanization and environmental factors significantly impact resource management and sustainability. We build a Markov Chain model with secondary land utilization data from government reports to measure the transition probabilities between various land use categories over time. The Markov chain model is easy to understand and communicate. It effectively captures transitions between land-use changes over time. The model works with limited data as compared to other complex models, making it accessible for studies. The results of the study emphasize dynamic interactions between various land-use patterns in India and Maharashtra. There we have concluded a stable land-use changing pattern. A trend towards intensive cropping has been observed during this study. This study reveals important trends in land conversion, most notably the growth of urban areas at the expense of forested and agricultural areas. The predictive abilities of model highlight the significance of well-informed policy-making for sustainable land management by offering insights into potential future land use scenarios.

Development of a Pomegranate Fruit Disease Detection and Classification Model using Deep Learning

Background: India’s economy heavily relies on agriculture, which provides a living for a significant portion of the nation’s population. Agriculture in India faces several challenges, including fruit diseases. Pomegranate cultivation is widespread across various states in India, with Maharashtra, Karnataka Andhra Pradesh, Gujarat and Tamil Nadu being major pomegranate-producing states. Fruit disease detection and classification play a significant part in refining crop yield: water scarcity, soil degradation, outdated farming techniques and the impact of climate change. Farmer suicides are a distressing issue, often linked to financial burdens, crop failures and debt. Manual disease detection methods are labor-intensive, time-consuming and prone to errors. Furthermore, understanding the data usually requires the knowledge of qualified specialists. These restrictions may make it more difficult to detect diseases promptly and increase the chance that the disease will spread across the flock, which could have dangerous results. Methods: In this paper, we use the PomeNetV2 Convolutional Neural Network (CNN) architecture and also examine 4 diseases of pomegranate fruit with names: Alternaria, Anthracnose, Bacterial Blight, Cercospora and Healthy. We used a proposed dataset of 5099 pomegranate fruit disease images. We compared the results of the proposed pomegranate fruit disease classification method with those of existing works. Result: Based on our experimental findings, the suggested framework outperforms all other state-of-the-art models with an accuracy of 99.02% for 75 epochs in identifying healthy and diseased pomegranate fruit.

Carbon farming in India: are the existing projects inclusive, additional, and permanent?

ABSTRACT As voluntary carbon markets gain popularity, carbon farming emerges as a win-win strategy to mitigate climate change and improve farmers’ income in developing countries. India, with over 50 active carbon farming projects and an impending domestic carbon market, forms an ideal case to explore the early-stage challenges of these initiatives. Using survey data from 841 farmers from seven carbon farming project villages in Haryana and Madhya Pradesh, this study focused on socio-economic inclusion and adherence to additionality and permanence principles, which are underexplored in the existing literature. We found that carbon farmers were predominantly large-holders and from non-marginalized castes, showing patterns of systematic exclusion. Only 4% of participants were women. Around 99% of farmers had not received any monetary benefit. While certain agricultural practices predated carbon projects, raising concerns about additionality, practices like no-tillage, alternate wetting and drying, intercropping, reduced chemical fertilizers, micro-irrigation, and tree planting aligned with additionality principles. Nonetheless, a high disadoption rate (28%) raises concerns about the permanence of emissions reduction. Our findings also indicated that companies that exclusively focus on carbon credits, termed ‘Carbon Core’ companies in this study, were more efficient in spreading regenerative agricultural practices than subsidiaries or offshoots of larger corporations whose primary businesses are unrelated to carbon credits.

Enabling and inhibiting factors of sustainability of Farmer's Producers Organisations in India

Farmer Producer Organisations (FPOs) are farmers' collectives or farmer-led business entities seeking to empower small and marginal farmers in India. Some farmer's collectives successfully achieve their goals and some often fail to meet the increasing demands in the agribusiness ecosystem. However, the academic literature glorifies the success studies of farmers' collectives. There are mentions of sustainability issues of farmers' collectives. However, not enough studies point to the factors that influence the organisational sustainability of farmers' collectives. Therefore, in this paper, the researchers aim to explore both the enabling and inhibiting factors of sustainability of farmer's collectives. A thematic synthesis process was applied to compile information from published literature. The study compiles enabling and inhibiting sustainability factors from 22 studies of FPOs. A qualitative approach using focused group discussion with farmers in FPO was completed to validate the findings from secondary data sources and collect empirical evidence directly from the farmers. The methodology guarantees inclusivity by collecting the voices of farmers through focused group discussion. Key enabling and inhibiting factors of sustainability of FPOs were categorized into economic, social, and environmental dimensions of organisational sustainability. In the economic dimension, improved agricultural income of farmers was reported as an enabling factor for sustainability, while some FPOs report capital shortage as a main hindrance for organisational sustainability in FPOs. The social dimension claims the collective bargaining power of members and effective capacity-building and collaboration opportunities as enabling factors. However, farmers highlight without good leadership strategies, and upskilling of farmers attaining sustainability is a mirage. Effective organisational activities like branding, marketing of products, access and awareness about capacity building were derived as the enabling factors in the environmental dimension of organisational sustainability, whereas, poor infrastructure lack of robust organisational structure, and climate change were termed as inhibiting factors. Understanding these sustainability factors can help policymakers to develop farmer-friendly collectives which enhance agriculture and food systems that will help achieve Sustainable Development Goal (SDG) 1—Zero Poverty and SDG 2—End hunger.

The effects of financial development on crop productivity: ARDL evidence from Indian agriculture

Purpose This work aims to empirically investigate the effects of financial development on crop productivity of India. Design/methodology/approach Time series data such as crop production index, International Monetary Fund’s (IMF) financial development index, gross domestic product (GDP) per capita, arable land, rural population, trade openness and physical capital from 1980 to 2020 was used. The autoregressive distributed lag (ARDL) bounds testing approach of cointegration was used to determine the long-run equilibrium relationship between the selected time series. Also, ARDL long- and short-run coefficients were estimated to examine the effects of selected variables on crop productivity. Furthermore, to establish the robustness of results, long-run estimators such as fully modified least squares and the dynamic least squares were also used. Finally, using the vector error-correction model, causality between the selected time series was examined. Findings The ARDL cointegration test confirmed the existence of long-run equilibrium relationship among agricultural productivity, financial development, capital formation, GDP per capita, arable land, rural population and trade openness. The estimated long-run elasticities from all the three techniques and the short-run elasticities of ARDL have consistently suggested that the elasticity of financial development is higher (1.55% and 1.40%, respectively) in explaining the crop productivity of India. The short-run causality estimates indicated the presence of positive bidirectional causality between crop productivity and financial development and seven positive unidirectional causal relationships between the selected variables. Practical implications Agricultural credit being an important non-land input and essential for overall growth and sustenance of agricultural sector, the policymakers should ensure the overall development of its financial sector which will reduce the intermediation, informational and other transactional costs associated with agricultural credit. This will possibly result in timely availability and access to adequate and low-cost credit from institutional sources. Originality/value Though extensive research is available on the effects of financial development on economic growth, limited research is available concerning the impact of financial development on crop productivity, especially for an emerging economy like India. For India, predominantly studies have investigated the impact of farm credit on crop productivity but have not exclusively examined the effects of financial development on agricultural productivity. Therefore, this study not only adds to the empirical literature but also provides new evidence on the nexus between financial development and crop productivity by examining the effects of financial development on crop productivity using the composite financial development index developed by the IMF using the ARDL bounds test for cointegration and other econometric estimators.