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382 articles for “crop production”
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Development of Organic Seeds under Inhana Rational Farming (IRF) Technology—A Case Study from Canning Block Seed Farm, 24 Parganas (S), West Bengal
Abstract: Availability of good quality seed is one of the major constraints for sustainable agriculture in India. Especially in pretext of climate change mitigation, relevance of organic seed is immense. In this respect, organic seed development has been undertaken jointly by Bidhan Chandra Krishi Viswavidyalaya (BCKV) and Inhana Organic Research Foundation (IORF), Kolkata, India in Canning Block Seed Farm under coastal saline ecosystem with adoption of Inhana Rational Farming (IRF) Technology—A …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 7, Issue 2, 2018 · pp. 1–21 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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Herbicide Resistance in Relation to Weed Management in Crops and Cropping Systems in Reference to North East: Review
Abstract: AbstractWeeds are one of the greatest limiting factors to efficient crop production. As a consequence of structural and financing problems the cultural condition of the soil deteriorates and weeds proliferate; many species are hard to kill. Therefore, for sustaining food grain production to feed ever-increasing population and ensuring food security, effective weed management is very essential. Despite advances in control technologies, weeds have retained their rank as the most damaging …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 5, Issue 2, 2016 · pp. 41–54 Read article
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An Intelligent Neural Networks Approach for Monitoring of Soilless Urban Farms
Abstract: Urban agriculture is increasingly recognized as a sustainable approach to addressing food security challenges in rapidly growing and densely populated cities. Conventional soil-based farming often faces limitations such as space scarcity, excessive water consumption, and environmental degradation. To overcome these challenges, soilless farming techniques such as hydroponics and aeroponics have gained significant attention due to their efficient utilization of space, reduced water requirements, and potential for year-round crop production. However, …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 31–37 Read article
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Hybrid Authentication Scheme Based on Cyber Physical System Use in Agriculture
Abstract: Recently, the agriculture industry has seen the application of artificial intelligence (AI). To maximize yield, the industry must overcome a number of obstacles, including poor soil management, infection by pests and pathogens, the need for huge information, low output, and a technological lack of clarity among farm owners. The core principles of intelligence in farmland are expense, precision, good speed, and scalability. This study reviews the various applications of artificial …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 25–36 Read article
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Integration of Soil Profile Data in Crop Prediction Models: A Comprehensive Review
Abstract: Farmers in many areas of India are having crop production issues due to soil and climate. There is no comprehensive guide accessible to assist them in developing the appropriate types of plants using modern technology. Farmers may be unable to benefit from agricultural scientific developments due to illiteracy and may continue to rely on human practises. This complicates getting the desired yield. Crop failure, for example, could be the result …
Published in Current Trends in Signal Processing · Vol. 13, Issue 1, 2023 · pp. 6–11 Read article
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The Future of Farming with IoT-Operated Drones
Abstract: The integration of Internet of Things (IoT) technology with drone systems has revolutionized precision agriculture, offering innovative solutions to address the inefficiencies and environmental concerns linked to conventional pesticide application. This study explores the design, implementation, and impact of IoT-operated drones tailored for automated pesticide spraying. By leveraging real-time sensor data, AI-driven analytics, and cloud-based connectivity, these drones enable dynamic, data-informed decisions to optimize chemical application. Results indicate that IoT-enabled …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 20–26 Read article
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AI and IoT for Precision Farming: Transforming Indian Agriculture
Abstract: Agriculture plays a crucial role in the global economy with the exponential rise in population. There is a parallel increase in the demand for food and employment exerting pressure on conventional farming methods. These traditional techniques are often inadequate in meeting current agricultural demands. Consequently, automation in agriculture has gained significant attention as an evolving field. The integration of artificial intelligence (AI) into agricultural processes has led to a transformative …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 7–15 Read article
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Revolutionizing Plant Disease Detection: A Comprehensive Review
Abstract: Rise in population demands more food production but the diseases in plants contribute to loss. The advancement in agricultural field has a remarkable effect in detecting plant diseases. These diseases will have a major impact on the quality of plant and yield and hence can destroy the entire plant if they are not controlled on time. To reduce disease-related losses, it is necessary to identify different types of diseases and …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 44–55 Read article
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Flora Guardian: An Advanced Robotic System for Sustainable Weed Control and Precision Pesticide Application
Abstract: Agricultural systems are under pressure to enhance crop productivity while minimizing environmental damage. Efficient weed control and pesticide application are fundamental for sustainable agriculture, but traditional methods often fall short due to high labor costs and ecological harm. Existing robotic solutions, including drones and multi-legged robots, exhibit significant limitations, such as operational complexity and limited payload capacity. In contrast, Flora Guardian represents a novel approach by combining of weed detection …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
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Blockchain-Based Smart Agri-Food Supply Chain Management System with User-Centric Design for Enhanced Consumer Trust
Abstract: Existing blockchain-based solutions for agri-food supply chains primarily focus on internal traceability and efficiency while neglecting consumer-facing functionalities. Building consumer trust requires not only a secure and transparent supply chain but also user-friendly interfaces for easy access to product information and journey tracking. This study addresses this gap by implementing a blockchain-based agri-food supply chain system with a user-centric design. Beyond internal transparency, the system features an intuitive consumer interface …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 01–12 Read article
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Conservation Agriculture Benefits in South Asia: A Management of Tillage, Residue Retention and Crop Rotation
Abstract: AbstractConservation Agriculture (CA) a suit of agriculture technologies based on minimal soil disturbance, permanent organic soil cover, diversified crop rotation and integrated weed management offers a paradigms shift in crop production to sustain yields and have constructive environment friendly foot print. Under agricultural practices, soil involves mechanical disturbance are reduced to minimum or avoided, and external inputs such as organic and inorganic fertilizers, and others agrochemicals are applied optimal and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 4, Issue 2, 2015 · pp. 1–13 Read article
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Determinants of the Adoption of chemical Fertilizer in Kaffa, Bench Sheko and Sheka zones of Southwest Ethiopia
Abstract: Agriculture is the backbone of the Ethiopian economy, but the production system was backward, and the adoption of agricultural technology was low. This study aims to identify and determine factors affecting smallholder farmers' adoption of chemical fertilizer. Bita, Chena, Andiracha, and Sheyi Bench district of the southwest Ethiopia region was selected for this study. Household individual survey interview, key informant interview, and focus group discussion were the primary data collection …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 1–12 Read article
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Advancements in Plant Molecular Biology and Genetics: Insights into Genetic Engineering, Genomics, and Crop Improvement
Abstract: This comprehensive review explores the rapidly advancing fields of plant molecular biology and genetics, offering a thorough examination of contemporary research and innovative methodologies that contribute to a deeper understanding of plant development, improved crop productivity, and the mitigation of environmental challenges. Recent breakthroughs in genetic engineering, genomics, and transcriptomics are thoroughly analyzed to provide valuable insights into their practical applications for sustainable agriculture. The integration of cutting-edge tools and …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 1, 2025 · pp. 25–27 Read article
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Machine Learning Techniques for Predicting Industries Based on Region
Abstract: In recent years, there has been a growing interest and emphasis on agricultural land preparation and its implementation among researchers, primarily due to various factors. These factors include an increased focus within the research community, a rising demand for agricultural land, and the significance of assessing soil health for ensuring robust crop production. Picture request is one such philosophy for soil and land prosperity examination. It is a staggering measure …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 1–8 Read article
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Participatory Demonstration of Grass Strips as Biological Soil and Water Conservation Measures in Kamba Woreda, South Ethiopia
Abstract: Land degradation due to soil erosion and soil fertility depletion is a significant threat to the agricultural system, limiting food security and sustainable agricultural production. This study demonstrated Desho grass strips as biological soil and water conservation measures in Kamba woreda Gamo zone south Ethiopia. Six (6) nearby trial farmers who took part in the demonstration directly were chosen for the study using the purposive sample technique. Sole maize and …
Published in International Journal of Land · Vol. 1, Issue 1, 2024 · pp. 1–10 Read article
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Development and Performance Evaluation of a Multi-Purpose Power Tiller for Small-Scale Farming Applications
Abstract: This project outlines the development and testing of a multi-purpose power tiller tailored for small-scale farmers. Designed to reduce labor and enhance productivity, the machine integrates features for ploughing, seedbed preparation, and lightweight transportation. Key parameters including depth of tillage, working width, and fuel consumption were evaluated during field trials and benchmarked against manual operations. Results highlight its efficiency and potential for improving rural agricultural practices. Along with its primary …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 Read article
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Importance of Compost Quality Towards Effective Organic Soil Management: A Case Study under FAO-CFC-TBI Project at Maud Tea Estate, Assam, India
Abstract: AbstractIn today’s agriculture, there has been a growing conviction that organic soil amendment is the best option available to restore and enhance soil potential towards restricting the continuous decline of productivity. The present study under FAO-CFC-TBI project at Maud Tea Estate was aimed to evaluate the role of compost quality towards effective soil management. On-farm compost was produced under biodynamic, vermi, indigenous and Novcom composting method using similar raw materials …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 4, Issue 1, 2015 · pp. 16–26 Read article
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Green synthesis of zinc oxide and copper oxide nanoparticles and their effect against wilt fungus, Fusarium udum.
Abstract: Nowadays nanoparticles (NPs) come out as powerful tools to enhance crop production and protection. Biosynthesis of NPs has a vital role and an alternate to chemical and physical methods because it is simple, easy, eco-friendly, and free from chemical hazards. Zinc oxide (ZnO) and copper oxide (CuO) NPs were synthesized from leaves extract of Lantana camara (L.) and Nerium oleander (L.) and characterized by using several techniques such as transmission …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 13, Issue 3, 2023 · pp. 1–5 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article