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261 articles for “Crop”
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Study of Agriculture Using Drones in India: Evaluation of Feasibility, Impact, and Adoption Challenges
Abstract: Studies in India show that drone technology is revolutionizing agriculture by enabling precision farming, increasing crop yields, reducing costs, and improving sustainability. Key applications include using drones for efficient spraying, crop monitoring via multispectral sensors, soil health analysis, and optimized water management. Government initiatives like the "Kisan Drones" program are promoting adoption, supported by research that demonstrates significant benefits like yield increases and resource savings[1-3]. Figure 1 shows the usage …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 21–33 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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Design and Implementation of Agricultural Spraying Drone
Abstract: In this brief an attempt has been made to develop an agricultural drone to spray pesticides in an agricultural farm. In India, agriculture is one of the key economic sectors. Crop production rates are influenced by factors such as temperature, moisture content, rainfall, etc. The field of husbandry is also influenced by other elements, such as pests, complaints, diseases, etc., which can be managed by giving crops the right care. …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 1, 2023 · pp. 28–33 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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Leveraging Artificial Intelligence for Precision Agriculture: Opportunities and Challenges
Abstract: AI in the agriculture sector is slowly changing the face of farming and the way it is practiced through enhanced precision, efficiency and sustainability. This study explores the role of AI in precision agriculture, focusing on its potential to revolutionize crop management, soil health monitoring, pest and disease control, and resource optimization. We examine the various AI technologies, including machine learning, computer vision, and robotics, that are being leveraged to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 28–40 Read article
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Trichoderma: beneficial fungus for sustainable agriculture
Abstract: As environmentally beneficial substitutes for chemical pesticides, Trichoderma species are being utilized in agriculture more and more. Disease suppression, increased plant growth, and increased tolerance to environmental stress are just a few advantages they provide. These fungi are used in a wide range of cropping systems and formulations around the world. Their use is growing worldwide, particularly in Asia and Europe. In contemporary crop management, items derived from Trichoderma are …
Published in International Journal of Fungi · Vol. 2, Issue 2, 2025 · pp. 25–29 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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Multivariant Disease Detection from Different Plant Leaves and Classification
Abstract: Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken. To maintain good quality of plant, the plant diseases should be identified and then given proper suggestions to farmers for specific fertilizers and pesticides to be used. The use of specific fertilizers or pesticides makes plant more health with good quality so that farmers can get …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–35 Read article
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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 Read article
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Assessment of Agricultural Potentials and Constraints of Natural Resources Management for Research Implementation in Gedeo Zone South Ethiopia Region
Abstract: This study aimed at assessing agricultural potentials and constraints of natural resources management for research implementation in Gedeo zone south Ethiopia Region. The result indicates that the use of organic and inorganic fertilizers was not efficient and the crop yield was decreasing from year to year. Use of organic fertilizer is for only high value crops of enset and coffee without determined rate. Farmers were not practiced organic fertilizers like …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 82–93 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article
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Revolutionizing Agriculture: Botani Scan’s Deep Learning for Plant Disease Diagnosis
Abstract: Crop disease detection is of key importance because of its role in food safety but infrastructural issues still hamper diagnosis in most regions worldwide. Accurate plant disease identification is essential to secure food, predicting yield decline and managing epidemic outbursts. The advent of digital cameras along with the progress of computer vision technology brings to light the mounting demands for the development of automated disease detection methods in precision agriculture, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 Read article
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Uncovering the Types: Health Benefits of Millets: A Review
Abstract: Given the current conditions of shifting dietary preferences, population growth, and unchecked exploitation of natural resources, there are not enough resources to ensure that everyone has access to a healthy diet. Since natural plant resources are quickly running out, other options must be investigated. In addition to the basic crops, such as wheat and rice, many other underutilised crops are also consumed, many of which have the potential to replace …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 3, 2024 · pp. 26–35 Read article
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Sustainable Feeding Practices for Dairy Development in the tropics: Exploring Cost Reduction through Resource Optimization
Abstract: Sustainable feeding practices are crucial for enhancing the economic viability and environmental responsibility of dairy farming. This review explores innovative strategies for cost reduction through resource optimization, aiming to minimize feed expenses while maintaining animal health and productivity. A comprehensive examination of over 100 cost-saving measures reveals diverse approaches, including nutritional planning, pasture management, and the incorporation of alternative feed sources. The integration of precision feeding techniques, waste utilization, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 11–19 Read article
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AI-Enabled Linear Regression Model for Spectroscopic Milk Adulteration Analysis
Abstract: Milk adulteration poses a serious threat to public health and quality assurance in the dairy industry. This requiring rapid, reliable, and non-destructive detection techniques. This study presents a linear regression-based analytical model for identifying and quantifying milk adulteration using spectroscopic data. Spectral measurements of milk samples, including both pure and adulterated variants were acquired using spectroscopic techniques at relevant wavelengths.Blending of other components in pure milk , is specifically called …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 28–42 Read article
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Solar Powered Irrigation System Design with Venturimeter for Utilizing Natural Resources
Abstract: This research focuses on enhancing crop productivity in agriculture by ensuring high quality and quantity of crops. Crops needs to be given adequate nutrients in an efficient and timely fashion as a way to accomplish this.. Thus, liquid-based fertilizers are selected for this purpose. However, farmers often face challenges in supplying fertilizers with the required quantity and precision. To address this issue, we propose a solution that leverages solar energy …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 29–35 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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Automatic Water Irrigation System
Abstract: India's economy has long been rooted in agriculture, with the majority of its population relying on it for their livelihood. However, challenges such as erratic rainfall in dry regions pose significant obstacles to effective irrigation. To address this, there is a growing need for automated irrigation systems that can remotely manage water distribution for optimal crop yield and farmer safety. The increasing costs of energy and dwindling water supplies underscore …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 21–25 Read article
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The Role of IoT in Sustainable Agriculture: Leveraging Big Data for Precision Farming
Abstract: Precision farming combined with the Internet of Things (IoT) is transforming the agricultural industry by boosting productivity and encouraging sustainable practices.. This paper explores the transformative impact of IoT technologies on modern agriculture, focusing on how big data analytics can be leveraged to optimize farming practices, reduce waste, and conserve resources. The Internet of Things (IoT) offers real-time data on a range of agricultural characteristics, including soil moisture, temperature, humidity, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Iot Cloud for Hydroponics System and Agriculture
Abstract: The integration of Internet of Things (IoT) technology into hydroponic systems has revolutionized modern agriculture, enabling more efficient resource utilization and higher crop yields. This project offers an Internet of Things cloud solution intended to handle the difficulties in hydroponic system management and monitoring. By leveraging sensors to collect essential data such as temperature, humidity, pH levels, nutrient concentration, and light intensity, this solution facilitates real-time data transmission to a …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article