Agriculture-Crop and Yield Predictor

Inspiration

Agriculture and associated sectors account for roughly 18 percent of India's Gross Value Added (GVA). A large-scale, ill-informed decision by farmers could have a severe impact on the entire economy of a region. Build a system that can provide Indian farmers with predictive insights, allowing them to make better decisions about increased crops revenue growth

The Problem

In most circumstances, a farmer's decision on which crop to cultivate is impacted by his intuition as well as other irrelevant aspects such as generating fast profits, being oblivious of market demand, overestimating the potential of a soil, and so on.

The farmer's unwise decision could put his family's financial status under severe strain. Perhaps this will lead to debt, which is one of the numerous contributing factors to the significant number of farmer suicides and decline in the number of farmers

What it does

We propose an Intelligent Crop Recommendation and Yield prediction system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. The Yield is predicted based on the parameters of area of land available, agricultural season and the past observations of yield prediction

This system is primarily concerned with performing Agro Consultants principal role, which is to provide crop recommendations to farmer and the expected yield for that crop.

How we built it

Our model first predicts the most relevant crop that can be grown given the solid characteristics namely N(Nitrogen), P(Phosphorus), K(Potassium), and the weather of the region namely Temperature, Humidity, Ph, Rainfall and Labels of crops. Then, it focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques. This helps the farmers to know the crop yield in advance to plan and choose a crop that would give a better yield.

What's next for Agriculture-Crop and Yield Predictor

Can give prescriptive analysis on how to grow a desired crop by a farmer on his field if currently not possible under the current land conditions by prescribing what changes need to be done on the land (increasing/decreasing pH,N,P and K) Thus the farmer can choose to grow a crop which is in demand and which will provide him with maximum yield.

hence MAXIMISING his PROFITS !!