Year: 2025
Type: article
Abstract: 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.
Authors: Anita Harsoor, Bhagya S Hadagalimath
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4415043624