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261 articles for “Crop”
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Animal Detection in Farms Using Opencv
Abstract: Agriculture plays a fundamental role in sustaining the Indian economy, providing employment and livelihood to a large portion of the population. Despite advancements in farming techniques, one of the persistent challenges faced by farmers is the intrusion of wild animals into agricultural fields. Such intrusions often lead to large-scale crop damage, financial loss, and emotional distress for farmers. Traditional animal deterrent methods, such as manual patrolling, fences, or scarecrows, have …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 Read article
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Livestock and Rural Livelihoods: Nutritional, Economic, and Environmental Pathways to Sustainable Development
Abstract: Livestock play a pivotal role in sustaining rural livelihoods by contributing to economic stability, social empowerment, and environmental resilience. This study explores the diverse functions of livestock in rural communities, focusing on their contributions to income generation, food security, nutrient cycling, and cultural practices. Livestock provide essential goods such as milk, meat, eggs, and fiber, which not only enhance household nutrition but also generate revenue for millions of rural families. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 2, 2025 · pp. 40–56 Read article
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Tea Waste Recovery System
Abstract: The Tea Waste Recovery Management System aims to solve the problem of waste from tea shops, which can harm the environment and waste valuable resources. Every day, tea shops throw away large amounts of used tea powder, causing pollution and missing the chance to recycle these organic materials. If tea waste is not managed properly, it can pile up in landfills, releasing harmful gases into the air. This not only …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Plant Disease Detection Using Machine Learning
Abstract: Plant diseases significantly threaten global crop yields and affect both nutritional safety and farmer income. Accurate and early detection of plant diseases is essential for effective intervention and treatment. In this study, we used the CNN model (convolutional neural network) to explore a deep learning-based approach for plant disease classification. The model was trained and evaluated on a large dataset encompassing 38 different classes of plant disease, including healthy leaves. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 07–19 Read article
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Classification of Plant Leaf Diseases Using Deep Learning Concepts
Abstract: Agriculture is vital to the economy of a country like India, where 70% of the workforce is employed in this sector. Plants suffering from illnesses experience a significant reduction in output. Delays in the identification of plant diseases lead to decreased yield and plant mortality. The cost of manufacturing is increased since it takes a big number of experts to manually detect plant diseases over several acres of land. The …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 46–55 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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Termite Mound Soil: A Potential Source of Biofertilizer in Koraput, Odisha
Abstract: Mass use of chemical fertilizers and extensive agriculture has reduced soil’s physiochemical properties and nutrient profile, generating crops with higher chemical residues, resulting unhealthy human population. Sustainable and cost effective nature friendly alternative methods of agriculture are the present need, to overcome the crisis. The study with Termite Mound Soil, TMS, in Koraput district of Odisha, India was performed to find nutrient composition and its potential as an ecofriendly, sustainable …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 40–47 Read article
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Synthesis, Production, and Mass Balance Analysis of Ten High-Volume Herbicides
Abstract: Herbicides play a crucial role in modern agriculture, enabling effective weed management and safeguarding crop yields amid rising global food demands and growing weed resistance, which can reduce productivity by up to 40%. This study provides a detailed examination of synthesis pathways, production methodologies, and mass balance dynamics for ten high-volume herbicides: Aclonifen, Ametryn, Amidosulfuron, Aminocyclopyrachlor, Aminopyralid, Atrazine, Azimsulfuron, Beflubutamid, Bensulfuron Methyl, and Bentazone, used to control broadleaf weeds, grasses, …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 30–44 Read article
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Biodiversity Loss and Its Impact on Dietary Land Diversity and Nutritional Status: A Comprehensive Review
Abstract: Habitat destruction, climate change, overexploitation, and agricultural intensification contribute to the current predicament in global food systems: Loss of biodiversity means less plant and animal species to be utilized. This study examines and synthesizes the available literature in PubMed and Scopus on how losses in biodiversity adversely affect people’s diets and nutritional status, especially in the case of malnutrition and missing key micronutrients of certain demographic cohorts. Principal factors are …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 25–30 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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Intelligent Water Distribution Management using IoT
Abstract: Water plays a vital role in agriculture, making its efficient management essential for sustainable crop production. However, undetected leaks in irrigation systems can result in significant water loss, irregular watering of fields, soil degradation, and reduced crop yield. Conventional methods like manual inspection are not only labor-intensive but also ineffective in identifying leaks promptly – emphasizing the need for a smarter and automated approach to water monitoring. To address this …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 18–27 Read article
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Response of Mung Bean (Vigna Radiata (L.) R. Wilczek) Varieties to Bradyrhizobium Inoculation at Gimbo District, Southwestern Ethiopia
Abstract: Globally, mung beans are grown in tropical and subtropical climates as an essential pulse crop. However, lack of appropriate nutrient management combined with the best responsive varieties is a major problem in enhancing productivity of mung bean. Thus, this field experiment was conducted in Gimbo district, Southwest Ethiopia, during the 2024–2025 rain-fed cropping season to evaluate the response of mung bean varieties to Bradyrhizobium inoculation. The treatments comprised factorial combinations …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 28–37 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Allelopathic Effect of Lantana camara L. on Moong Germination
Abstract: Allelopathy is a biological process where plants inhibit the growth and germination of surrounding species. This study examined the allelopathic effects of Lantana camara L. leaf extracts using concentrations of 25%, 50%, 75%, and 100% on Vigna radiata L., compared to a control group. Results showed that L. camara L. extracts significantly inhibited both growth and germination of Vigna radiata L., with increasing effects at higher concentrations. On the 10th …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 36–41 Read article
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Integrated Assessment of Soil Health Through Macronutrient Status and Physico-Chemical Properties in Selected Agricultural Blocks of Kangra District, Himachal Pradesh, India
Abstract: Soil health is a critical determinant of agricultural sustainability, particularly in ecologically sensitive Himalayan regions where intensive cultivation and heterogeneous landscapes influence nutrient dynamics. Balanced macronutrient availability, together with favourable physico-chemical properties, governs crop productivity, soil resilience, and long-term ecosystem functioning. Despite the agronomic importance of Kangra District (Himachal Pradesh), localized assessments integrating nutrient status with physico-chemical indicators across representative agricultural blocks remain limited. This study aimed to evaluate soil …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 27–33 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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An Analytical study of Government Scheme for Farmers in Gujarat: Impact, Implementation Challenges, and Policy Implications
Abstract: Gujarat’s economy is mostly dependent on agriculture, which increases food security, rural employment, and state revenue. Despite the state’s notable progress in irrigation infrastructure and agricultural commercialization, Gujarat farmers continue to face challenges, such as market volatility, water scarcity, unpredictable weather, and rising input costs. The governments of Gujarat and India have implemented several initiatives aimed at addressing these problems, including crop insurance, irrigation expansion, farm mechanization, income support, digital …
Published in International Journal of Rural and Regional Development · Vol. 4, Issue 1, 2026 · pp. 38–44 Read article
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Design and simulation of Solar Powered Automated Dual Rotor Mechanism for Sugarcane Harvesting
Abstract: Sugarcane being the vast cultivated cash crop of India’s agricultural economy has undoubtedly one of the most difficult harvesting processes. The existing mechanisms to harvest sugarcane are costly and are not affordable by rural based farmers. In this project a novel design mechanism is suggested that would serve the purpose of harvesting with least manpower, being cost effective and serving the purpose of cutting, stripping, sorting and loading of the …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
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Determining Fertility Status of soil at Different land uses at Koka Watershed Tembaro Woreda, Central Ethiopian
Abstract: The study was conducted in Central Ethiopia, Tembaro Woreda, for two consecutive years, 2023 and 2024, at Bohe and Bachira Kebeles within the Omo River Basin in the Koka watershed. The objectives of this study were to determine the fertility status of different land uses at the study sites. The study results indicate that soil at the study site ranges from moderately acidic to slightly acidic, with low to moderate …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 10–17 Read article
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The Therapeutic and Biotechnological Potential of : Pogostemon benghalenesis, A Comprehensive Review
Abstract: Pogostemon benghalensis is a fragrant perennial shrub belonging to the family Lamiaceae, widely distributed across tropical and subtropical regions of Asia. It has been extensively utilized in traditional and ethnomedicinal systems for the treatment of wounds, skin infections, fever, digestive disorders, inflammation, and respiratory ailments. The plant is also valued for its antiseptic, aphrodisiac, insect-repellent, and veterinary medicinal properties. Its leaves, roots, and essential oil are incorporated into herbal formulations, …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 2, 2026 Read article