P.Venkata Sai Teja, S.Anusha Rani 03 06 Agriculture plays a vital role in the economy especially in developing countries like India However farmers face numerous challenges such as unpredictable weather conditions soil degradation pest attacks and inefficient resource management This paper presents a machine learningbased system aimed at simplifying farming practices by providing intelligent recommendations for crop selection soil management and yield prediction The proposed system utilizes historical agricultural data weather information and soil parameters to assist farmers in making informed decisions Various machine learning algorithms such as Decision Trees Random Forest and Support Vector Machines are employed to enhance prediction accuracy The system aims to improve agricultural productivity reduce risks and promote sustainable farming practices Experimental results show that the proposed model achieves high accuracy and provides reliable recommendations making farming more efficient and technologydriven Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026