CROP RECOMMENDATION SYSTEM USING MACHINE LEARNING

CROP RECOMMENDATION SYSTEM USING MACHINE LEARNING

Dhanashree Pagar1, Divya Pawar2, Prathamesh Kothule3,

Dnyaneshwar Raut4, Mr. Dhanraj Deshpande5

1 Dhanashree Pagar, Department of Computer Engineering, GESCOE, Nashik, Maharashtra, India.

2 Divya  Pawar, Department of Computer Engineering, GESCOE, Nashik, Maharashtra, India.

3 Prathamesh Kothule, Department of Computer Engineering, GESCOE, Nashik, Maharashtra, India.

4 Dnyaneshwar Raut, Department of Computer Engineering, GESCOE, Nashik, Maharashtra, India.

5  Mr. Dhanraj Deshpande, TPO, Department of Computer Engineering, GESCOE, Nashik, Maharashtra, India.

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Abstract - Agriculture plays a major role in the Indian economy and employment sector. Half of the population is employed in agriculture. However, challenges such as poor crop quality and lack of knowledge in crop selection hinder productivity. Precision agriculture, aided by technologies like machine learning, can address these issues. This paper proposes a crop recommendation system using machine learning algorithm- ANN, based on soil and climate parameters collected from Kaggle.com. The system helps lower soil degradation, maintain crop health, and make appropriate crop recommendations considering factors like weather conditions, moisture, and season.

Key Words: Recommendation, Machine Learning, Dataset, Artificial Neural Networks(ANN).