Exploring the Potential of UAV Technology in Sugarcane Agriculture
UAV technology, also known as unmanned aerial vehicles or drones, has emerged as a promising tool in various fields, including agriculture. These unmanned aerial vehicles offer great potential in the sugarcane industry for yield estimation and other agricultural tasks. Even in the nascent stage of unmanned aerial vehicles, it was projected that UAV technologies would closely integrate into agriculture activities at a fast pace and become a ubiquitous and low-cost tool for farming operations (Torres‐Rua, 2017).
Advancements in Sugarcane Yield Prediction
Advancements in sugarcane yield prediction have been made possible through the utilization of UAV technology. Small unmanned aerial vehicles have become increasingly popular in the last several years.(Torres‐Rua, 2017) This paper explores numerous methods to detect and track small UAVs using computer vision, which can be applied to estimate the yield of sugarcane crops. Additionally, the utilization of UAV systems in complex agricultural environments allows for precise monitoring and management of sugarcane crops. The combination of UAV technology and computer vision enables accurate and efficient yield estimation for sugarcane crops. Furthermore, the role of UAV technology in smart agriculture, specifically in the context of sugarcane cultivation, is extensively studied. The use of UAV technology in the sugar industry offers significant benefits, including accurate yield estimation and improved crop management. By leveraging UAV technology in the sugar industry, accurate yield estimation for sugarcane crops becomes feasible.(Zhang et al., 2018)
Innovations in Aerial Monitoring for Sugarcane Farms
Innovations in aerial monitoring for sugarcane farms have revolutionized crop management practices. The use of UAV technology allows for real-time monitoring of sugarcane crops, including irrigation, fertilization, use of pesticides, weed management, and plant growth monitoring. Moreover, the utilization of UAV systems in complex agricultural environments is also analyzed. (Zhang et al., 2018)(Panday et al., 2020)(Boursianis et al., 2022)