Analysis of Decision Support System for Crop Health Management in Smart and Precision Agriculture Based on Internet of Things (IoT) and Artificial Intelligence (AI)

Due to deteriorating soil, varying climes, and rising costs, agriculture today faces a number of difficulties. Additionally, crop health, which is mostly impacted by diseases, is a significant problem in agriculture, hurting both the quality and volume of produce. In many fields of science and technology, disease control has been a research focus. Smart and Precision Agriculture (SPA) is a novel agricultural management approach that aims to maximize crop performance while reducing environmental impact by making use of information about the geographical and temporal variability of crops. Artificial intelligence, data storage, processing power, and sensor technology have all demonstrated significant potential for disease control. The increasing corpus of research has shown the value of utilizing data from many sensor types and machine learning techniques to create models for prediction, detection, evaluation, analysis, etc. This article examines cutting-edge methods for decision support systems based on the AI and IoT, which use many data sources, and are used for efficient crop health management.