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72 articles for “Crop yield improvement”
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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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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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Effect of Different Doses of Phosphorus on the Growth and Yield of Mung Bean (Vigna radiata L.)
Abstract: Phosphatic fertilizers play a vital role in enhancing mung bean production by not only improving crop yield but also increasing the quality of the produce. A field trial was done at the Nepal Polytechnic Institute research field to determine the effect of different levels of phosphorus on yield of Mung bean at Bharatpur, Chitwan during the summer season 2024. The test was carried out as per Randomized Complete Block Design …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 1–7 Read article
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Harnessing IoT and Sensor Technologies for Smart Agriculture: A Path Towards Viksit Bharat
Abstract: The integration of Internet of Things (IoT) and sensor technologies is redefining the landscape of Indian agriculture, serving as a catalyst for achieving the ambitious vision of Viksit Bharat (Developed India). Indian agriculture faces significant challenges such as resource scarcity, climate variability, and fragmented supply chains, which hinder productivity and sustainability. IoT-based solutions offer innovative approaches to address these critical issues by enabling smart irrigation systems, real-time field monitoring, precision …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 38–45 Read article
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Foliar Application of Zinc Nanoparticles Improves Photosynthetic Performance in Wheat Plants
Abstract: The present study investigated the impact of foliar spray of zinc oxide nanoparticles on physiological and biochemical reactions in wheat (Triticum aestivum L.) Foliar spray with zinc oxide nanoparticles at 10 mg/l positively increased pigment content and biomass in comparison to control while a significant reduction in chlorophyll content and biomass accumulation was observed at higher concentration of 1000 mg/l. A study of Chlorophyll a fluorescence parameters at 10 mg/l …
Published in Research and Reviews : A Journal of Biotechnology Read article
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Biosynthesis of Zinc Oxide Nanoparticles and Their Revolutionary Impacts on Agroindustry: Review
Abstract: Nanotechnology is a new approach of science which provides alternative tool in many fields including agriculture. This comprehensive review focuses on the biosynthesis and characterization of zinc oxide nanoparticles (ZnO NPs), highlighting their vast potential in agroindustry applications. Unlike traditional physical and chemical methods, which are often costly, time-consuming, and involve hazardous materials, this review explores the promising biological synthesis routes, offering a more sustainable and eco-friendly alternative for producing …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 33–50 Read article
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Emerging Trends in Drones across Multiple Sectors
Abstract: Drones, also known as unmanned aerial vehicles (UAVs), have become increasingly popular for their adaptability, affordability, and advanced functionalities. Originally developed for military purposes, they are now widely utilized across diverse sectors such as agriculture, filmmaking, and search and rescue missions. The impact of drones has been significant in various domains, such as reducing human casualties, providing more accurate information, increasing efficiency and cost reduction, and improving crop yields. Nonetheless, …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 29–35 Read article
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Smart Crop Recommendation Using IoT Sensor for Precision Agriculture
Abstract: This study addresses precision agriculture, which leverages modern technologies to enhance farming efficiency and sustainability. This study proposes a Smart Crop Recommendation System using IoT sensors to optimize crop selection based on real-time environmental conditions. The system integrates multiple sensors, including a temperature sensor, flame sensor, soil sensor, moisture sensor, and LDR sensor, to monitor crucial parameters such as temperature, soil moisture, light intensity, and fire hazards. An Arduino microcontroller …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 29–41 Read article
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Integrating Biotechnology, Physiology, and Agroecological Practices for Sustainable Crop Production and Protection
Abstract: Global agriculture is currently confronting a wide range of complex challenges, including a rapidly growing population, climate change, increasing pest and disease pressures, soil degradation, water scarcity, and the urgent need for sustainable intensification of crop production. Addressing these issues requires integrated strategies that combine crop improvement (through modern breeding and biotechnology), precision agronomic practices related to soil, irrigation, and nutrition, as well as advancements in plant physiology, molecular biology, …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Crop Disease Prediction Using Image Processing
Abstract: For any country in the world, its livelihood depends on agriculture. However, crop diseases affect the production and food supply of any country because we are unable to detect crop diseases. This paper presents a machine learning CNN (convolutional neural network) model, which uses images of crops to detect diseases. This model detects the diseases in the early stage and provides us with a solution to the crop diseases. It …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 9–16 Read article
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Multipurpose Farming Robot Control
Abstract: Conventional agricultural practices frequently involve a significant amount of manual labor and are prone to inefficiencies and resource waste.The relevance of incorporating robotics and mobile technology into agriculture lies in addressing several critical challenges faced by the industry. The implementation of IoT technology in smart farming systems. It covers various IoT applications in agriculture, such as environmental monitoring, automated irrigation, and precision farming, highlighting the benefits and challenges of IoT …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 19–25 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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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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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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Restoration of Degraded Agricultural Soils Through Organic Amendments and Sustainable Farming Practices
Abstract: This study investigates the efficacy of organic amendments and sustainable farming practices in restoring degraded agricultural soils, addressing a critical global challenge affecting food security and environmental sustainability. The research was conducted over three growing seasons on degraded semi-arid agricultural land, utilizing a randomized complete block design with five treatments: The following farming practices: pure control, organic amendments but market conventional farming practices, sustainable farming practices but market standard conventional, …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 3, 2024 · pp. 19–27 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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Harnessing Ethylene and Brassinosteroids for Enhanced Agricultural Productivity and Food Quality
Abstract: This study provides a comprehensive review of the roles of ethylene and brassinosteroids, two vital hormonal regulators in plants, focusing on their impact on fruit ripening, stress responses, and overall plant growth. Ethylene, a gaseous plant hormone, is recognized as a key regulator in various physiological processes, particularly in the maturation of fruits. Its involvement in the ripening process has profound implications for agricultural practices, as it directly influences the …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 2, 2024 · pp. 29–32 Read article
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A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
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Evaluating the Effect of NPSB Fertilizers on Barely (Hordeum vulgare L.) Production and Productivity at Tocha Woreda, Southwest Ethiopia.
Abstract: A number of blended fertilizers (BFs) were formulated and introduced but site and crop specific rate was not identified. A research was conducted in Tocha woreda to evaluate the rate of NPSB fertilizer to improve barely yield during main cropping season of 2019 and 2020. The experiment consists of seven treatment such as control(0) , recommended NP (69kg N and 20kg P), NPSB: 18.9-37.7-6.95-0.1 (100kg NPSB), NPSB: 41.9-37.7-6.95-0.1(100kg NPSB + …
Published in Research & Reviews : Journal of Botany · Vol. 13, Issue 3, 2024 · pp. 39–45 Read article
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Evaluation of Irrigation Regime on Onion Yield in Konta Special Woreda, Ethiopia
Abstract: Irrigation scheduling (when and how much to apply) is the primary tool to improve water use efficiency, increase crop yields, increase the availability of water resources, and contribute positive effect for the quality of soil and ground water. Field experiment was conducted for two consecutive years to determine appropriate scheduling of onion production. The experiments were arranged in randomized complete block design (RCBD) with four treatments (T1 = 125% manageable …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 9–14 Read article