Smart Farming – A Crop Output Prediction Model New Delhi, May 2019 – Present
● Surveyed 38 farmers and designed a model to predict crop outputs, by considering variables like weather/climate, land area, crop type, soil type,
seasonality and nourishment provided to the crops (eg. fertilizer use, irrigation techniques).
● Used Machine Learning techniques like Regression and Random Forest.
● Using this model, farmers can decide beforehand, which factors to change (amongst those that are under their control) to match their target yield.
Foundation For Young Innovators (FYI) – Smart Farming has been selected in the top 10 submissions across the country by FYI. As a result, I got an opportunity to pitch this idea to prominent Indian investors like C-suite executives of companies like PayTM, Airtel and MakeMyTrip. I am now receiving mentorship and funding from the CFO and Executive Director of PayTM to expand my idea! Further, I have also been given a Coursera Scholarship of 5 courses (300$) for both my idea and the model.
View Full Project