PHENOMENON OF SOIL CHARACTERISTIC DIGGING: ENHANCING THE CLUSTERING SCHEMES AND SORTING WITH KNN-ALGORITHM FOR SOIL PARAMETER CALCULATION AT KGI CAMPUS

Artificial Intelligence augments the domain of precision agriculture by fostering sustainability, enhancing resource allocation, and increasing productivity levels. Methodologies such as machine learning, computer vision, and the Internet of Things (IoT) facilitate the optimization of crop management practices, the identification of plant diseases, and the judicious utilization of resources, thereby responding to the imperative for efficient agricultural practices in the context of escalating global population dynamics and pressing environmental challenges. This study at KGI Campus describes the recent technological development in agriculture as abbreviating NG-AIA: next generation agriculture incorporated with AI. This study describes the different algorithms in AI/ML for agricultural development particularly for soil parameter setting and calculating as it defines the growth of any countrys economy.