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68 articles for “crop modelling”
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Intercropping Legumes Covers with Maize on Soil Moisture Improvement in Selected Dry Land Areas of Basketo Special Woreda’s, Ethiopia
Abstract: In order to increase land productivity, intercropping offers enough flexibility to grow two or more crops at the same time on the same plot of land. The advantages of intercropping systems have not been thoroughly investigated and are supported by available experimental data. The purpose of this study was to assess how intercropping affects soil moisture conservation in places under moisture stress, which affects land productivity. In this study, experimental …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 3, 2024 · pp. 09–18 Read article
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Atmospheric Determinants of Feed, Fodder, and Forage Contamination in a Changing Climate: Emerging Challenges for Sustainable Livestock Production
Abstract: Feed, fodder, and forage contamination represents a growing constraint to sustainable livestock production under a changing climate. Atmospheric determinants such as rising temperature, altered precipitation patterns, increased humidity, elevated carbon dioxide concentration, and enhanced aerosol and pollutant loads are increasingly recognized as critical drivers of contamination risks across feed supply chains. These atmospheric factors directly and indirectly influence crop growth, fungal proliferation, mycotoxin biosynthesis, microbial survival, and the deposition of …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 1–14 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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Review on Automatic Irrigation System
Abstract: The Automatic Irrigation System is a contemporary technological innovation aimed at improving water efficiency in farming and landscaping uses. This system guarantees that water reaches plants according to real-time data including soil moisture, weather conditions, and set irrigation schedules by combining sensors, microcontrollers, and automated valves or pumps. The main objective of an automated irrigation system is to increase water efficiency, decrease waste, and boost crop production while limiting human …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 Read article
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The Impact of Climate Change on Jute Production in Gaibandha District, Bangladesh
Abstract: Jute plays a crucial role in Bangladesh’s agricultural economy, especially in Gaibandha District, where it is a key crop for rural livelihoods. However, climate change, characterized by rising temperatures and unpredictable rainfall, poses significant threats to jute production. While numerous studies have explored the broader impact of climate change on agriculture, there is a gap in understanding how localized climate conditions specifically affect jute farming in Gaibandha, with many existing …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 1–17 Read article
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Satellite Sensing in Climate Change Study: A Review
Abstract: Satellite remote sensing has revolutionized our understanding of climate change, providing a global and continuous perspective on Earth's climate system. This study highlights the crucial role of satellite observations in monitoring key climate variables, such as sea surface temperature, ice sheet extent, vegetation cover, and atmospheric composition. From monitoring greenhouse gas concentrations in the atmosphere to mapping ice sheet thickness and sea level rise, satellite instruments offer invaluable data for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
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Determinants of Smallholder Farmers Quantity of Coffea arabica L., Supply to Market: A Case of Gimbo District, Kaffa Zone, Ethiopia
Abstract: This study investigates the factors influencing the market supply of coffee in various districts of the Gimbo District, Kaffa Zone, in Southwest Ethiopia. Coffee is Ethiopia's most significant export crop, recognized for its extensive genetic diversity and its substantial contribution to the country's GDP. Despite the district's strong production capacity, the marketing structure remains predominantly traditional, compelling producers to sell through conventional channels that do not offer premium prices, thereby …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 107–120 Read article