A Survey on : Agriculture Management System Using Web Development With Machine Learning

A Survey on : Agriculture Management System Using Web Development With Machine Learning
Author(s):
Rohit Anil Kumbhar, Prasad Sanjay Taware, Vishnukant Laxman Shinde, Avdhut Mohan Durgade, Ashwini Bhapkar
Keywords:
Agriculture, Worker, News, Image processing, Random Forests.
Abstract
Agriculture serves as the foundation of our nation, with a substantial percentage, ranging from 60-70%, relying directly or indirectly on it for sustenance in India. Being an agrarian-dependent country, India's progress is significantly intertwined with the agricultural sector. Despite its centrality, farming presents both advantages and drawbacks for Indian farmers. Our project endeavors to address these challenges by developing a web application that offers a reliable and beneficial platform for farmers to sell their produce. This initiative promises mutual profitability for both buyers and sellers. The application facilitates the online sale of pesticides and fertilizers, accompanied by instructional videos for the proper utilization of organic alternatives. Furthermore, the platform aids in the identification of plant diseases, offering remedies to minimize farm losses and enhance agricultural yields. Additionally, it serves as a unified platform for hiring farming workers, streamlining the labor procurement process for farmers.
Article Details
Unique Paper ID: 162074 Publication Volume & Issue: Volume 10, Issue 7 Page(s): 345 - 347
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