International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
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Agricultural Comprehensive Management Platform using AI

Authors: Amol Potgantwar, Rais Shaikh, Bhushan Harpade, Manoj Avhad, Dimpal Rane, Manisha Mahajan

Country: India

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Abstract: An Agriculture Comprehensive Management Platform utilizing AI represents a cutting-edge solution that integrates advanced technologies to revolutionize the agricultural sector. This platform harnesses the power of Artificial Intelligence (AI) to optimize various aspects of agricultural management, including crop cultivation, resource allocation, and decision-making processes. By amalgamating data-driven insights, predictive analytic, and real-time monitoring, this platform aims to enhance productivity, sustainability, and profitability in the agricultural domain. The Agriculture Comprehensive Management Platform Using AI thus serves as a comprehensive solution to address the challenges faced by the agricultural industry. By amalgamating the prowess of AI with the practical requirements of farming, it fosters sustainable and efficient agricultural practices, contributing to global food security and environmental preservation. Monitor soil conditions and provide farmers with recommendation Nutrients and water use efficiency on how to improve soil fertility. Predict crop yield and health, so that farmers can make better planning decision. Optimize irrigation and fertilization schedules to reduce costs and environmental impact. Connect farmers with buyers and suppliers to help them get the best prices for their product. To provide farmers with market insight and price prediction. To assist in making informed decisions about crop selection and timing of sales.

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Paper Id: 230403

Published On: 2023-11-28

Published In: Volume 11, Issue 6, November-December 2023

Cite This: Agricultural Comprehensive Management Platform using AI - Amol Potgantwar, Rais Shaikh, Bhushan Harpade, Manoj Avhad, Dimpal Rane, Manisha Mahajan - IJIRMPS Volume 11, Issue 6, November-December 2023.

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