Crop Prediction to Aid Farmers using Hybrid Model
Jaladi Lahari, V. Lavanya, K.B. ManikandanAssistant
This study used Machine Learning (ML) algorithms to predict the suitable crop by inputting the potassium, nitrogen, phosphorous ratios, humidity, rainfall, and soil type. The data are collected, preprocessed, and then trained using algorithms with good accuracy. Some algorithms are used, like …
in (code pays fourni par la source)