Abstract: Being passionate for tech he has seen the world around him transform digitally. But when it comes to agriculture, there’s not much to see. Monoculture, a practice of growing just a single crop on a large chunk of land, is dominating much of the Indian agriculture. Along with that, farmers rely heavily on chemical-based fertilizers, which often converts into nitrous oxide, a greenhouse gas 300 times more potent than carbon dioxide due to lack of knowledge about the usage of organic fertilizers.

To prevent this, a farm management system has been created by him to ensure that crops and soil receive exactly what they need for optimum health and productivity. To make this possible at scale, Manas launched an initiative known as “Project Vasundhra” as a part of his startup. Project Vasundhra is a web-based no-cost app for farmers to analyze their soil online and find out suggestions from a tested and authentic database of more than 100,000 recommendations from experts in the agricultural industry.

The web app is easy to use and provides instant results. It predicts the crop to be planted, the type of organic fertilizer to be used based on the soil type, the pesticide to be used, and the storage process for each crop. It also provides a paragraph for suggestions explaining the prediction.

Keywords: Machine Learning, Precision Agriculture, Farming, Smart Predictions.

| DOI: 10.17148/IARJSET.2021.8345