This research focuses on sustainable crop protection through the integration of the Internet of Things (IoT) and drone-based spraying. The main goal is to improve agricultural practices' accuracy, efficiency, and environmental friendliness. Drones with spraying and IoT capabilities allow for the precise and controlled management of crop protection chemicals like insecticides. This approach minimizes the use of chemicals, reduces their environmental impact, and makes the most efficient use of resources. When used with IoT sensor data, support Vector Machine (SVM) analysis improves decision-making by providing predictive insights. SVM analysis allows for the accurate localization of treatment zones, which improves pesticide application while reducing damage to non-target species. This work proposes a potential way forward for long-term crop security using SVM analysis and IoT-enabled drone technology. It signals a new era of environmentally conscious crop protection techniques prioritizing effective pest control without sacrificing environmental preservation.