aspg-25-3816-1792098420 20261015210700 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cognitive Human-Computer Interaction JCHCI 2771-1471 2771-1463 2025 9 2 S. Rahini Sudha Assistant Professor, Computer Science and Business Systems, Panimalar Engineering College (of Affiliation) Chennai, India Uma mageshwari D. Students, Computer Science and Business Systems, Panimalar Engineering College (of Affiliation) Chennai, India Vaishnavi N. G. Students, Computer Science and Business Systems, Panimalar Engineering College (of Affiliation) Chennai, India Sumetha S. S. Students, Computer Science and Business Systems, Panimalar Engineering College (of Affiliation) Chennai, India Subbalakshmi B. V. Students, Computer Science and Business Systems, Panimalar Engineering College (of Affiliation) Chennai, India Poovizhi A. Students, Computer Science and Business Systems, Panimalar Engineering College (of Affiliation) Chennai, India The farm sector is challenged by various factors, such as climate volatility, ineffective resource management, and data security. In this paper, a new methodology is proposed where blockchain technology is combined with a chatbot platform to offer farmers real-time, secure, and accurate crop suggestions. Blockchain allows data integrity to be guaranteed, reducing risks from data tampering. The chatbot is an interactive platform, where farmers can enter soil parameters, location, and weather. The system processes these inputs and gives optimal crop recommendations based on past data and predictive analytics. The proposed solution is enhancing sustainable agriculture practices, boosting productivity, and ensuring long-term food security. 2025 12 16 3816 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCHCI.090203 https://www.americaspg.com/journal/25/article/3816 https://www.americaspg.com/storage/articles/manuscripts/01KWQ4HXGRNRDBPSC813PE7MNW.pdf