With growing concerns about food security and sustainable farming, there is a need for intelligent systems to optimize crop yield and fertilizer use. The Crop and Fertilizer Suggester project aims to use machine learning to recommend suitable crops and fertilizers based on factors like soil type, nutrient content, weather conditions, and historical agricultural data. By analyzing these parameters, the system predicts the most profitable and sustainable farming practices for a given region, reducing wastage and enhancing productivity.
Basic Knowledge of Programming Languages like Python, R, TensorFlow etc.
Before Commencing the project the following links have to be examined.
https://www.coursera.org/
https://openweathermap.org/
https://www.fao.org/home/en/
https://github.com/
