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128 articles for “crop enhancement”
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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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Optimizing Silage Quality: Best Practices for Maximum Nutrient Retention and Sustainable Dairy Development
Abstract: Silage is a critical component in dairy production systems, offering a consistent and high-quality feed source throughout the year. Optimizing silage quality begins in the field, requiring strategic practices to maximize nutrient retention and support sustainable dairy development. This study reviews best practices across silage production stages, including crop selection, timely harvesting, precise chopping, controlled fermentation, and efficient storage techniques. Emphasis is placed on achieving the ideal moisture content, reducing …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Farmer’s Eye: A Sustainable Crop-Field Monitoring System
Abstract: This paper outlines the creation and implementation of an Internet of Things (IoT)-driven smart agriculture monitoring system. It aims to tackle major issues in agriculture, such as inefficient irrigation, excessive resource use, and a lack of real-time data. The system focuses on the Arduino Uno, which connects to a variety of sensors: soil moisture for measuring substrate conditions, DHT11 for monitoring ambient temperature and humidity, MQ135 for checking air quality, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 19–27 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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The Role of Soil Quality Parameters in Enhancing Agricultural Productivity
Abstract: Thus one can define soil quality as a set of physical, chemical and biological properties of the surface layer of the Earth’s crust that affects agriculture production. In this study, some of the factors which are related to soil quality include pH, texture, organic matter content, nutrient availability and microbial activity that affect crop germination as well as yield. It looks at the way in which the soil factors influence …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 48–66 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture
Abstract: Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture" explores the convergence of cutting-edge technologies in revolutionizing traditional farming practices towards sustainability. This study investigates the integration of Internet of Things (IoT), Artificial Intelligence (AI), and Image Processing techniques in agricultural contexts, aiming to enhance efficiency, productivity, and environmental stewardship. Through a comprehensive review of recent advancements and case studies, this research elucidates the transformative potential of IoT-enabled …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 52–69 Read article
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A Detailed Survey of Machine Learning Applications, Methods, and Future Prospects in Agriculture
Abstract: Agriculture is undergoing a digital transformation driven by machine learning (ML) and artificial intelligence. The integration of ML techniques with data from sensors, drones, satellites, and IoT devices has enabled precision agriculture, early disease detection, optimized resource use, and improved yield prediction. This paper presents a comprehensive review of machine learning applications in modern agriculture, covering key areas such as crop monitoring, soil analysis, irrigation scheduling, pest, and disease detection, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 39–45 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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Foxtail Millet (Setaria italica): A Detailed Review on Nutritional Value, Anti-Nutritive Value, Potential Health Benefits
Abstract: Millets are a diversified collection of small-seeded grasses that have been used as a primary source of grain for generations in various regions of Asia and Africa. Millets are a staple grain this is historically consumed in dry regions everywhere in the international. They are high in protein, fats, minerals, nutrients, and fiber.. Millets are highly nutritious grains rich in essential amino acids, minerals, and dietary fiber, offering health benefits …
Published in International Journal of Nutritions · Vol. 1, Issue 2, 2024 · pp. 20–26 Read article
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Design and Implementation of Lightweight Polymer-Based Drone System for Targeted Agricultural Spraying
Abstract: Agriculture has entered a new era of innovation, with drone technology emerging as a key tool in pesticide and fertilizer application. Unlike conventional methods that expose farmers to hazardous chemicals resulting in health issues such as skin disorders, neurological impairments, and in extreme cases, fatal illnesses drone-based spraying offers a safer and more efficient alternative. In India, the adoption of this technology is accelerating due to its ability to reduce …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 476–486 Read article
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Recent Advances in Smart Polymer Composites for Plant Health Monitoring: A Strategic Integration of Sensing Mechanisms and Computational Intelligence
Abstract: Plant health assessment is crucial for agricultural production and food security, as plant diseases significantly affect crop yields and quality. This paper reviews the applications of polymers and composite materials in the evaluation of plant health, focusing on both natural and artificial polymers, carbon materials, and polymeric–nanoparticle composite materials. Various types of sensing principles, such as colorimetry, fluorimetry, surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), and interferometry, are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Plant Growth Promotion: Role of Nanoparticles and Soil Microorganisms
Abstract: Crops intended to support rapidly expanding populations often face numerous harsh environmental conditions. Despite the natural evolution of plants in response to changing environments and ongoing efforts to engineer resistant varieties using the latest research advancements, food scarcity remains a challenge. Cultivating rhizosphere microorganisms presents an alternative strategy for enhancing plant growth and development. Moreover, engagements between flora and microbes influence both flora’s well-being and soil productivity. Autonomous soil bacteria, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 188–193 Read article
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The BambooBuddy: An AI-powered Chatbot for Enhancing Bamboo Yield in India
Abstract: Bamboo farming is essential for sustainable agriculture and environmental preservation. This project presents BambooBuddy, a chatbot developed to assist farmers and surveyors in managing bamboo-related inquiries. The system leverages a structured dataset stored in recommendations.csv to provide precise and relevant recommendations based on user queries. By utilizing the flask framework for web development and incorporating Cohere’s natural language processing capabilities, BambooBuddy facilitates seamless interaction and enhances user experience. The chatbot …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 12–18 Read article
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Automatic Seed Planting Using a Controller
Abstract: Agriculture is a critical sector that requires continuous innovation to meet the increasing global demand for food. Traditional seed planting methods often involve labor-intensive processes that are time-consuming and prone to inefficiencies. This project presents an automatic seed planting machine that integrates ESP32 microcontroller technology with various sensors and actuators to enhance the precision, speed, and efficiency of seed planting. The system is designed to automate seed dispensing, soil digging, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 1–8 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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Next-Gen Agriculture: Deep Learning Algorithms for Real-Time Plant Disease Detection via IoT
Abstract: In addition to providing high-quality food, the agriculture industry plays a critical role in supporting expanding people and economies. Plant diseases can have a detrimental effect on biodiversity and result in significant losses in food production. Automated methods for early and precise identification of plant diseases can reduce financial losses and enhance the quality of food produced. Deep learning has significantly improved object detection and picture classification accuracy in recent …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 · pp. 18–23 Read article
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Green Synthesis of Silver Nanoparticles: Antifungal Efficacy Against Aspergillus niger and Agricultural Benefits
Abstract: Silver nanoparticles (AgNPs) are gaining significant attention in agriculture due to their potent antifungal properties. This study focuses on evaluating the antifungal effects of green synthesized AgNPs derived from Aloe vera leaf extract against the pathogenic fungus Aspergillus niger. The results indicate that the synthesized nanoparticles exhibited a strong absorption maximum at 550 nm, indicative of surface plasmon resonance. UV-Vis spectroscopy was used to analyze the nanoparticles, and the solution …
Published in International Journal of Fungi · Vol. 1, Issue 1, 2024 · pp. 19–23 Read article
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Agrobot: IoT Enabled Crop-care
Abstract: Agriculture serves as the foundation of global civilization, particularly in nations like India, where it accounts for roughly 70% of the GDP, underscoring its pivotal role in economic stability. Despite its significance, traditional agricultural practices have often overlooked critical elements such as disease identification and precise pesticide application, focusing primarily on conventional methods like harvesting and seedling techniques. To address these gaps and usher in a new era of efficiency …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 1, 2024 · pp. 38–45 Read article
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Diversity and Sustainability: The Role of Traditional Fruit Trees in Uttarakhand Agricultural Landscape
Abstract: Uttarakhand state is characterized by a rich diversity of traditional fruit trees. Uttarakhand is largely a mountainous state, with only around 10% of its overall geographical area being plains, and more than three-quarters (78%) of its total people relying on agriculture for survival. The state's geographical features and climatic circumstances are suited for growing temperate and subtropical fruit crops. It provides a variety of agro-geoclimatic conditions that are ideal for …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 22–25 Read article