Deep Learning Model Optimization for Crop Prediction and Recommendation using Harris Hawks Optimization

The dataset comprises 2,200 entries with 7 key attributes, covering both soil and climate factors. Soil attributes include pH, nitrogen, phosphorus, and potassium, while climate factors include temperature, rainfall, and humidity. It features data for 22 crops, such as watermelon, coconut, lentil, rice, cotton, grapes, muskmelon, black gram, coffee, banana, apple, orange, moth beans, chickpea, kidney beans, mango, pigeon peas, papaya, jute, pomegranate, mung bean, and maize, with around 100 records per crop.