International Journal of Research and Development in Engineering Sciences https://www.ijrdes.com YEGIREDDI RAMESH 7 6 (November - December) 2025 11 November-December enAI Data PreprocessingDecision Trees Rule-Based ClassificationComplex and Additive ModelsANN. The worlds food supply relies on individual with small holding farmers but these farmers frequently lack access to sophisticated decisionsupport systems The models are difficult to grasp which is limiting the application of artificial intelligence AI despite its promise to increase output through prediction disease detection and input optimization For smallholder farmers in particular our proposed approach integrates interpretable approaches like decision trees and rulebased categorization with posthoc explainability techniques like SHAP and LIME to generate explainable AI XAI models Additionally it develops userfriendly interfaces that enhance clarity through the use of visual verbal and contextual cues Trust usability and decisionmaking assistance are assessed using field appraisals and participatory design approaches Last but not least the study establishes a link between AI effectiveness and its understandability which empowers farmers via transparency and promotes longterm agricultural expansion Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved. 2025 All Rights Reserved