E -Xpert Bot -Guidance and Pest Detection for Smart Agriculture using AI
Poonkuzhali Ramadoss, Viswanath Ananth, M Navaneetha, U Oviya
Abstract
According to the Food and Agricultural Organization (FAO), the world population is expected to reach 9.73 billion by 2050, increasing the demand for agricultural needs proportionately. Artificial intelligence (AI) and machine learning (ML), which provide high productivity and accurate farming operations to meet the need for food, are being used in Smart Agriculture to replace traditional farming techniques. In recent years, experimenters in smart agriculture have drawn more attention. Anybody interested in farming would be able to strive towards results that are based on data-driven judgements with the correct advice, perceptivity, and Artificial Intelligence (AI) -powered perfection agricultural outputs. The first half of this paper examines how to provide users with accurate, useful, and automated results for substantiated backing and guidance based on the collected data in the users’ native tongue. An AI Chatbot operation with a user-friendly interface and the alternative section can do this. From the standpoint of ecological and environmental protection, a crop complaint and pest identification model based on deep learning is proposed in order to address the issues of numerous types of crop conditions and pests, quick prolixity speed, and time-consuming manual identification of conditions and pests.