This innovative system provides timely agricultural advice for crops, suggesting optimal choices from environmental data.
This paper proposes an AI and IOT-based Crop Advisor integrated with a chatbot interface to revolutionize smart agriculture, by combining AI-IOT and conversational interfaces, the system demonstrates its potential as an inclusive and efficient approach to modern agriculture... IOT sensors deployed in the field continuously monitor key environmental parameters such as soil moisture, temperature, humidity, pH, and nutrient levels. The real-time data is processed using machine learning algorithms to recommend the most suitable crops and provide timely agricultural advice. The system has been evaluated for Toor Dal (Pigeon Pea) and Wheat, two widely cultivated crops with distinct growth requirements.
No takes yet. Share an insight, caveat, or question.
Harsoor et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: