Artificial Intelligence in Drone Technology for Farming Research Paper

Background

The world is facing challenges in expanding food production for its developing population. It is projected that the global populace will be about nine billion by 2050, hence the need to increase food creation by 50% proportionately (Pepe et al., 2018). Any augmented growth in population results in diminished access to water and land. Numerous pictures captured by promenades are grouped and stitched, forming several collections of ortho-maps. Afterward, these orthomorphic charts are fed into the geographic information systems (GIS) frameworks, where they are utilized during the evaluation, coordination, and execution of strategies.

In spite of the devices serving as aerial eyes, their preference emerges from their ability to handle surveys and disseminate quality information after data gathering. According to their sizes, UAVs’ various classes are the very little, small, medium, and huge UAVs. The universal database containing robotic guidelines information was established as an enforcement bureau to provide the guiding principles for drone data. The main challenge affecting the utilization of small UAVs in numerous states is that they are presumed to be airplanes. Undeniably, these miniatured machines are by far and unquestionably different from the planes in many ways. Reworking on UAV enterprise can make it a significant undertaking in every field, especially in the agricultural sector.