Leveraging Autonomous Vehicles And Iot For Precision Agriculture: Enhancing Crop Monitoring And Sowing Efficiency

Abstract

An innovative step toward better crop monitoring and mechanical sowing has been taken with the incorporation of autonomous vehicles into smart agricultural systems based on the internet of things. The need for better, more long-term solutions has grown in importance as technology is being added to conventional agricultural practices. In order to maximize agricultural output, "smart agriculture" makes use of Internet of Things (IoT) gadgets, sensors, and data analytics. Another factor is the rise of autonomous vehicles like robotic tractors and drones, which streamline field operations and allow for accurate data collecting in real-time. The use of autonomous vehicles in an Internet of Things (IoT)-based smart agricultural system is the focus of this study. One strategy is to automate the sowing process and monitor crop health using these vehicles in conjunction with Internet of Things (IoT) sensors. These autonomous vehicles can do things like seeding and data collecting thanks to their high-tech sensors and GPS systems. A central IoT platform receives the data and processes it using machine learning algorithms to draw conclusions. The efficacy of the device was evaluated in a variety of agricultural settings via field experiments. The results show that crop monitoring and mechanical sowing accuracy are both greatly enhanced when autonomous vehicles are used in conjunction with IoT-based agriculture. The vehicles' comprehensive, up-to-the-minute data on soil, crop health, and weather conditions was invaluable. The data analytics platform made good use of this data to fine-tune the methods of irrigation, fertilizer, and planting. Results showed that compared to traditional approaches, field trials increased crop yields by 30% while reducing resource consumption by 25%. Autonomous sowing also showed better precision, cutting down on seed waste by 20%. According to the research, smart agriculture that makes use of the internet of things (IoT) has the potential to significantly improve farming's efficiency, accuracy, and sustainability. Agricultural practices are optimized and choices are made with greater knowledge thanks to the combination of autonomous field operations, enhanced data processing, and real-time data collecting. To ensure interoperability across various Internet of Things (IoT) devices and platforms and to tackle the difficulties of large initial investment prices, future studies should investigate ways to scale these technologies.