Smart-Agri Advisor: Data-Driven Crop Recommendations for Enhanced Productivity and Sustainability

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Abstract

Smart-Agri Advisor: Data-Driven Crop Recommendations for Enhanced Productivity and Sustainability

1 Sase Vedant, 2 Prasad Patil, 3 Sunny Gangurde, 4 Somesh Chaudhari, 5 Asmeeta Mali
1,2,3,4 Final Year Student of Department of Artificial Intelligence and Data Science Engineering DYPCOEI, Varale, Talegaon, Pune (SPPU), Maharashtra, India.

5 Asst. Professor of Department of Artificial Intelligence and Data Science Engineering DYPCOEI, Varale, Talegaon, Pune (SPPU), Maharashtra, India

ABSTRACT:

In today's farming, it's important to grow crops well and use methods that are good for the environment to meet the rising need for food worldwide. This paper introduces "Smart-Agri Advisor," a system that helps farmers choose the right crops by analysing real-time data about the environment, soil, and market trends. It looks at factors like Soil contents, temperature, humidity and rainfall, along with market demand, to help farmers make smart decisions. The system also uses IoT sensors to automate watering, manage resources better, and make farming more sustainable. This study looks at how well the Smart-Agri Advisor helps improve farming efficiency and matches farming methods with market needs.

Keywords: Machine Learning, NumPy, scikit-Learn, TensorFlow, Keras, etc.

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