Crop Suggestion using Data Mining Approaches
Suresh Salankar, Ameya Salankar, Atharva Sune, Prakhar Suryavansh, H V Vijay Kumar · 2021
A solution using Association Rule Mining and Clustering is proposed where, given the conditions, a farmer will be suggested the suitable crop(s) that he can cultivate based on the past years' data. The implementation was done using Apriori, Frequent Pattern Growth (FP Growth) and K-Means algorithm. Data Mining techniques used prove to be very useful in helping the farmers in growing the suitable crops.