An Intelligent Versatile Robot with Weather Monitoring System for Precision Agriculture

This research paper studies the latest advancements in weather monitoring systems and their integration with autonomous robots in precision agriculture. The fundamental purpose of this research is to appraise the effectiveness of diverse systems utilized in modern agriculture, such as watering, pesticide spraying, seeding, obstacle detection, and soil analysis. In this regard, the AGRENOBOT, an intelligent robot equipped with an inbuilt weather monitoring system, is introduced as a significant breakthrough in precision agriculture. The robot is highly efficient in planting seeds and spraying pesticides, significantly reducing the need for human labor while minimizing the negative impacts of pesticides. The research findings show that the robot can work for about 30 minutes and can plant seeds with 92% precision, which is better than human labor. A web interface is also developed to monitor the seeding, pumping, and weather status in real-time, utilizing sensors to measure meteorological variables and a Linear Regression model to predict rainfall. This study concludes that the AGRENOBOT is an up-and-coming solution to the agricultural industry’s challenges, as it has the potential to increase crop yields and address the need for more food production. Consequently, this study encourages further research and development in precision agriculture.