Geographical Information System (GIS) technology offers a dynamic and comprehensive approach to studying the geographical distribution of diseases. By providing interactive and informative maps, GIS allows us to analyze the frequency of cases, map disease occurrences, and explore the association between diseases and environmental factors. This powerful tool enables us to gain a deeper understanding of the spread and impact of various diseases. India’s agricultural sector is significantly affected by crop diseases and pests, resulting in reduced quality and quantity of agricultural production. Controlling crop diseases has become a vital area of research across multiple scientific and technological disciplines. In this pursuit, the integration of remote sensing, GIS, and Internet of Things (IoT) devices has showcased tremendous potential for effectively managing and controlling diseases. Scientists and researchers across the globe are increasingly recognizing the need to utilize data from diverse sensors and apply machine learning approaches in the development of disease detection, prediction, analysis, and evaluation models. The integration of remote sensing, GIS, and IoT technologies allows us to gather data from various sources and enhance our understanding of plant diseases. As the number and diversity of research studies in the field of disease control continue to grow, it becomes crucial to conduct literature reviews to identify further developments and contribute to the field. A comprehensive research review offers insights into state-of-the-art machine learning methods that utilize a wide range of data sources for plant disease detection. It also outlines the different data acquisition methods, including traditional and deep learning techniques associated with GIS and IoT. Furthermore, this research emphasizes the significance of intelligent data fusion techniques from diverse data sources in predicting and improving plant health status. By integrating information from multiple sensors and data streams, we can enhance our ability to identify, predict, and combat plant diseases effectively. This approach has proven invaluable in addressing the challenges faced in disease control. In this ever-evolving field, GIS plays a vital role in helping us tackle the problems plaguing our agricultural practices. By implementing cutting-edge technologies, we can embark on a journey toward a healthier and more productive agricultural system. By continuously exploring new strategies and advancements, we pave the way for transforming the landscape of disease control in agriculture. Let’s embrace the power of GIS, remote sensing, and IoT technologies to protect our crops, improve agricultural productivity, and ensure food security for generations to come. With innovative solutions and collaborative efforts, we can revolutionize disease control and secure a prosperous future for our agricultural communities.