Smart-Agri Advisor: Data-Driven Crop Recommendations for Enhanced Productivity and Sustainability
Year: 2024
Type: article
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.
DOI: 10.55041/ijsrem37952
Author: Asmeeta Mali
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4403397184