A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors

arXiv:2403.19273v1 Announce Type: new
Abstract: The development of an intelligent agricultural decision-supporting system for crop selection and disease forecasting in Bangladesh is the main objective of this work. The economy of the nation depends heavily on agriculture. However, choosing crops with better production rates and efficiently controlling crop disease are obstacles that farmers have to face. These issues are addressed in this research by utilizing machine learning methods and real-world datasets. The recommended approach uses a variety of datasets on …

abstract agriculture arxiv bangladesh crops cs.ai cs.lg decision development disease economy forecasting however intelligent machine machine learning nutrition prediction production type weather work