
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 1
January-February 2025
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A Comprehensive Review of Automated Precision Agriculture Robot for Intelligent Seed Sowing, Replanting, and Pomegranate Disease Detection
Author(s) | Yogita Gulabrao Thite, Dr. Atul Prakash |
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Country | India |
Abstract | This review explores advancements in precision agriculture, focusing on automated systems for seed sowing, replanting, and disease detection to enhance sustainable farming practices. By integrating technologies such as robotic automation, sensors, image processing, and real-time communication, these systems address critical agricultural challenges, including labor shortages, resource optimization, and crop health monitoring. Key innovations include precise seed placement, automated replanting in detected gaps, and disease identification using machine learning and image analysis. These technologies empower farmers with actionable insights, reduce resource wastage, and improve crop yield, contributing to the future of sustainable and intelligent farming solutions. |
Keywords | Precision Agriculture, Automated Seed Sowing, Replanting Systems, Disease Detection, Sustainable Farming. |
Field | Engineering |
Published In | Volume 7, Issue 1, January-February 2025 |
Published On | 2025-01-16 |
Cite This | A Comprehensive Review of Automated Precision Agriculture Robot for Intelligent Seed Sowing, Replanting, and Pomegranate Disease Detection - Yogita Gulabrao Thite, Dr. Atul Prakash - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.34132 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i01.34132 |
Short DOI | https://doi.org/g82hj7 |
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E-ISSN 2582-2160

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