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46 articles for “yield loss”
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Yield Loss Assessment in Common Bean (Phaseolus vulgaris L.) due to Ascochyta Blight (Phoma exigua var. diversispora (Bubak) Boerema) Disease
Abstract: Ascochyta blight (Phoma exigua var. diversispora (Bubak) Boerema) causes a severe, rapidly developing disease on common beans (Phaseolus vulgaris L.) that can bring about complete plant defoliation and extensive yield loss. Studies were conducted in Rwanda to quantify the yield loss attributed to bean ascochyta blight on 64 common bean genotypes including bush and climbing. Using a split plot design, trials were conducted at three locations, where ascochyta disease is …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
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Investigating the Occurrence and Damage of Wild Pig (Sus scrofa) in Cassava Ecosystems of Kerala
Abstract: The study investigates the occurrence and impact of wild pigs on cassava crops in selected locations of Thrissur and Palakkad districts of Kerala, spanning from July 2022 to May 2023. Data were collected from 10 sites, where each 1-acre field was divided into 5 quadrants for monitoring. The presence of wild pigs was tracked weekly through pug marks, infrared cameras, and farmer reports, while the extent of cassava plant damage …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 16–20 Read article
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Participatory Demonstration of Desho and Elephant Grass Strip as Biological Soil and Water Conservation Measures for Erosion Control
Abstract: Participatory demonstration and pre scaling up of biological soil conservation measures (desho andelephant grass)compared with control (without grass) works were conducted in 2011/12 E.C on three beneficiary farmers field by the main objective is contribution of biological conservation measures for controlling soil erosion and assessing farmer perception on these measures. The data were taken from 132 m2 trail area. Average soil loss data that were obtained from Elephant grass 6.6 …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 01–08 Read article
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Insect Hymnenopteran Parasitoids of Sugarcane Pest and Role As Biological Control Agents
Abstract: The present study is short communication of insect parasitoids belongs to order Hymenoptera. Sugarcane crop attract number of insect pests that flourish on it, and cause about 15- 20% yield loss and minimize the productivity, this reduction in yield increase when the insect parasitoids attack on pest. There are some major parasitoids Orders that attack on the number of crops pest, like Dipteran, Lepidopterans, Neuropteran etc. and one of the …
Published in International Journal of Insects · Vol. 1, Issue 1, 2024 · pp. 18–21 Read article
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Correlation Between Agronomic and Stem Borer (Sesamia Calamistis) Resistant Traits In Sorghum (Sorghum Bicolor (L.) Moench)
Abstract: Stem borer (Sesamia calamistis) infestation remains a significant challenge in sorghum (Sorghum Bicolor (L.) Moench) cultivation, leading to substantial yield losses in Nigeria. This study is aimed at investigating the interrelationship between agronomic and resistant traits of stem borer (Sesamia calamistis), and its influence on selection. The study was carried out at the research field of Plant Breeding Unit, Department of Agriculture Biotechnology, National Biotechnology Research and Development Agency. Forty …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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Host Plant Affinity and Trophic Behavior of Lohita grandis name of author (Hemiptera: Largidae)
Abstract: Lohita grandis (Gray) , commonly known as the red cotton bug, is an emerging pest of cotton and several other economically important crops in India. Its sap-sucking feeding habit causes discoloration of fruits, reduction in seed quality, and yield losses, posing serious challenges to sustainable agriculture. The present study investigates the feeding behaviour and host plant preferences of L. grandis across diverse agroclimatic zones of India, with the aim of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 92–100 Read article
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Fungus Detection System
Abstract: This project identifies fungal pathogens in wet soil with sensors and gives an instant result through an Android app. It helps farmers avoid crop loss, increase yield, and encourage eco-friendly farming practices by enabling early detection and evidence-based decision-making for soil health management. Soil condition is most important to agriculture and environmental health. Having fungus in pre-maturity soil analysis can prevent crop damage and increase the yield. This project seeks …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 30–34 Read article
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Optimal Placement and Sizing of STATCOM for Loss Reduction and Voltage Profile Enhancement Using Genetic Algorithm
Abstract: Electric power distribution networks frequently experience significant power losses and voltage profile deterioration due to increasing load demand and inadequate reactive power compensation. This study investigates the enhancement of the Eleme distribution network in Rivers State through voltage upgrading and optimal deployment of a Static Synchronous Compensator (STATCOM). The existing network consists of a 5.56 km, 11 kV radial distribution system supplying seventeen distribution transformers with a cumulative load demand …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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Effective Strategies for Sustainable Soil and Water Management: Enhancing Agricultural Productivity and Environmental Conservation
Abstract: Soil and water are essential natural resources, and their degradation due to erosion, overgrazing and other factors is ongoing. Water erosion is influenced by climate, topography, vegetation and soil, while wind erosion is affected by wind characteristics, surface features, topography and soil properties. Unsustainable land and water management practices lead to reduced soil fertility, soil loss, lower crop yields, water depletion, deforestation, and diminished biomass. Of the 1386 million cubic …
Published in International Journal of Land · Vol. 1, Issue 1, 2024 · pp. 11–36 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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Comparative Performance Study of Concrete Incorporating Ceramic and Recycled Concrete Waste: Strength, Durability, and Sustainability
Abstract: Construction and demolition waste, especially ceramic and concrete debris, is a byproduct that has been increasingly amassed over time and causes environmental pollutants. Valorizing these wastes as raw materials to produce sustainable construction materials represents an alternative option to minimize waste, conserve resources, and reduce CO2 emissions. This paper aims to review the performance and environmental advantages of using ceramic and recycled concrete as an alternative fine aggregate in new …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Sustainable Cotton Crop Productivity through Precision Weed Detection: A Deep Learning-Based Approach with UAV Integration
Abstract: Weeds present a major challenge to crop productivity by competing with crops for vital resources, including water, sunlight, and nutrients, often resulting in significant yield reductions. On a global scale, weeds are responsible for approximately 13.2% of annual crop losses, a quantity sufficient to feed nearly one billion people. These invasive plants disrupt agricultural systems and adversely impact crop yields. Given their uneven distribution in fields, ground or aerial robots …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 19–26 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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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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Ecological Impacts of Intensively Managed Dairy Farms: Environmental Challenges to Sustainable Dairy Development
Abstract: Intensively managed dairy farming systems, designed to maximize production efficiency, have raised significant concerns regarding their long-term ecological impacts. This study explores the environmental consequences of such systems, focusing on soil degradation, water resource depletion, biodiversity loss, greenhouse gas emissions, and ecosystem imbalance. While intensive dairy farming contributes to high yields, it also accelerates environmental degradation through practices such as excessive fertilizer and water use, monoculture feeding, and inadequate waste …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 1, 2025 · pp. 42–62 Read article
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Emerging Trends in Fruit and Vegetable Science: Advances in Cultivation, Postharvest Management, and Value Addition
Abstract: Fruit and vegetable industries are undergoing a radical restructuring as a result of technological development, sustained focus on sustainable development, and rising customer preferences. This review focuses on the latest changes and developments in cultivation, postharvest, value-addition, and management in the global landscape of horticulture. With a global cultivation of 367.72 million tons and a combined market value of greater than 800 billion USD, the sector grapples with significant challenges; …
Published in International Journal of Trends in Horticulture · Vol. 3, Issue 1, 2026 · pp. 42–55 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Polymer Composite-Enhanced Anaerobic Digestion of Kitchen Waste for Optimised Biogas Production: Process Design, Parametric Study, and Simulation Analysis
Abstract: There is an urgent need for decentralised sustainable biogas production from organic waste due to the rising amount of food waste in cities. The application of polymer composite material including HDPE tanks, PVC pipes, and FRP secondary containment systems presents a promising option compared to conventional MS digester fabrication in terms of durability, excellent thermal insulation capability, light weight, and easier installation. This study explores the possibility of adopting a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 803–818 Read article
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Dystocia in Dairy Cattle: Causes, Consequences, and Preventive Measures for Improved Reproductive Health and Productivity
Abstract: Dystocia, or calving difficulty, is a significant reproductive challenge in dairy cattle, with far-reaching impacts on animal health, productivity, and farm economics. This review paper comprehensively explores the primary causes, consequences, and effective preventive measures associated with dystocia in dairy cows. Dystocia arises from a complex interplay of genetic, physiological, environmental, and management-related factors, including breed predisposition, maternal and fetal size, pelvic structure, and gestational nutrition. The consequences of dystocia …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 2, 2026 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