These models analyze factors such as state, crop type, N-P-K levels, pH value, rainfall, temperature, and humidity to help farmers select the best crops for their conditions and predict potential yields accurately.​
While humans can do this too using the traditional methods, our models make the process- 1.Scalable 2.Precise 3.Efficient​