Autonomous Agriculture

Abstract

The usage of agricultural drones has completely changed how farmers manage their crops, providing a number of benefits over more conventional farming practices. Drones are mostly used in agriculture for crop health and growth monitoring, irrigation and soil analysis, and field studies. The capacity of agricultural drones to take high-resolution images of crops and analyse the health and development patterns of plants in great detail is one of its main advantages. Drones are using spectral sensors at various wavelengths and provide information on plant stress, nutritional deficits, soil health, and nutrient and other elements that may have an impact on agricultural productivity. Agricultural drones can easily link to numerous sensors, equipment, and data sources in the field via IoT technology. In order to provide insightful conclusions, artificial intelligence may find patterns and correlations in the data. Machine learning is used to train models that can recognise and classify various objects and conditions captured by sensors.