AGROXAI: Explainable AI for Smart Farming

Data-driven decision support systems are definitely the most important systems in modern agriculture. Even though AI models can produce really accurate suggestions regarding crop planning and yield forecasting, their acceptance by farmers and agricultural specialists is always restricted due to the lack of transparency. A research paper presents AgroXAI, an up-to-date XAI-based smart agriculture platform, which meshes predictability with rainfall forecasting, crop recommendation, and yield prediction. To help the farmers comprehend and trust the forecasts, this system presents brief and local explanations with the use of SHAP and LIME. The suggested system is lightweight and, thus, either cloud-based or cloud-free and, therefore, can be easily used by a wide range of people. Also, it is a democratic system as it is easy to get access.