Machine learning-based drone system for effective fertilization
In this technical demonstration, we have created a drone system that can autonomously keep an eye on a sizable agricultural area and maintain it using a cutting-edge, advanced crop dusting drone that can track its health in real-time. This cutting-edge drone is carefully designed to fulfil three main purposes: first, to significantly reduce the time-consuming and labour-intensive demands linked with conventional manuring methods; second, to prevent the negative effects that result from applying too much manure; and third, to protect soil and consumers from possible diseases brought on by an excessive amount of organic matter. AGXone redefines contemporary farming practices by combining intelligent resource management and precision agriculture to ensure maximum productivity and sustainability with the least amount of environmental risk. This drone's main purpose is to detect the amount of chlorophyll (or more precisely, the amount of green) in photos taken from the drone's perspective, which includes the region ahead of its current coordinates. With the aid of an integrated camera, the captured images are processed in real time to enable the accurate calculation of the ideal amount of liquid manure needed for the particular area of interest, using a colour chart as a guide. When the drone reaches its destination, it carefully applies the calculated amount of manure, making sure that the distribution is both precise and effective. Currently, the drone has a large capacity that can hold up to 2 litres of liquid manure, which improves its functionality even more.