Farmers
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Kisan Mantra: Enhancing Farmer Productivity, A Web-Based Approach for Efficient Crop Harvesting and Problem Diagnosis
Abstract: India's agricultural sector faces persistent challenges, including limited access to expert guidance, difficulties in managing diverse datasets, unreliable weather forecasting, and a lack of real-time monitoring for farm activities and crop quality. Additionally, farm lenders struggle to obtain accurate insights into farm productivity and risks, hindering their ability to provide tailored financial solutions. The sector also grapples with underemployment among educated professionals, limiting their contributions to agricultural advancement. To tackle …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 71–87 Read article
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Fertiledata: Advanced Strategies For Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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Store Management System
Abstract: E-commerce into agriculture has significantly changed the existing structures of the agricultural markets. For farmers, it provides a direct outlet to sell their farm products and for consumers, it offers the opportunity to buy fresh and organic farm products. Here we report the design and development of an e-commerce web application for agricultural trading that not only makes use of modern web technologies but also allows farmers to list their …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–9 Read article
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Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "FertileData: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a user-friendly …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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Improving Indian Agriculture: How Personalized Recommendations Can Empower Farmers
Abstract: With millions of jobs and a major contribution to the wealth of the nation, farming is a vital sector of the Indian economy. Nevertheless, a lot of small and marginal farmers face issues that keep them from making enough money. They frequently lack access to critical knowledge on government assistance, new tools, fertilizers, and soil health, making farming difficult for them. Farmers also face issues such as unstable water availability, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 13–17 Read article
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Climate Change and Floating Farming: Sustainable Livelihood Strategy in Bangladesh
Abstract: The paper discussed the significance of floating farming in Bangladesh. It has found that the tradition of growing vegetables, fruits and spices on rafts has now become a solution for farmers to cope with extreme weather conditions, floods and rising seas. Land cultivation is becoming more popular among farmers in many regions due to high market prices. Floating bed cultivation has now been extended to wet and intermittently irrigated areas …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 43–49 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