@article{ART002835386},
author={Ga-Young Jeong and Cho Yong Yun},
title={A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2022},
volume={8},
number={2},
pages={35-40},
doi={10.20465/KIOTS.2022.8.2.035}
TY - JOUR
AU - Ga-Young Jeong
AU - Cho Yong Yun
TI - A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles
JO - Journal of Internet of Things and Convergence
PY - 2022
VL - 8
IS - 2
PB - The Korea Internet of Things Society
SP - 35
EP - 40
SN - 2466-0078
AB - In the agricultural environment, pesticide control requires a high risk of work and a high labor force for farmers. The effectiveness of pesticide control using unmanned aerial vehicles varies according to climate, land type, and characteristics of unmanned aerial vehicles. Therefore, an effective method for pesticide control by unmanned aerial vehicles considering the spraying conditions and environmental conditions is required. In this paper, we propose an efficient pesticide control system based on agricultural unmanned aerial vehicles considering the application conditions and environmental information for each crop. The effectiveness of the proposed model was demonstrated by measuring the drop uniformity of pesticides according to the change in altitude and speed after attaching the sensory paper and measuring the penetration rate of the drug inside the canopy according to the change in crop growth conditions. Experiment result, the closer the height of the UAV is to the ground, the more evenly the crops are sprayed, but for safety reasons, 2m more is suitable, and on average a speed of 2m/s is most suitable for control. The proposed control system is expected to help develop intelligent services based on the use of various unmanned aerial vehicles in agricultural environments.
KW - smart farm;unmanned aerial vehicle;multi-copter;pesticide control;field crops
DO - 10.20465/KIOTS.2022.8.2.035
ER -
Ga-Young Jeong and Cho Yong Yun. (2022). A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles. Journal of Internet of Things and Convergence, 8(2), 35-40.
Ga-Young Jeong and Cho Yong Yun. 2022, "A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles", Journal of Internet of Things and Convergence, vol.8, no.2 pp.35-40. Available from: doi:10.20465/KIOTS.2022.8.2.035
Ga-Young Jeong, Cho Yong Yun "A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles" Journal of Internet of Things and Convergence 8.2 pp.35-40 (2022) : 35.
Ga-Young Jeong, Cho Yong Yun. A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles. 2022; 8(2), 35-40. Available from: doi:10.20465/KIOTS.2022.8.2.035
Ga-Young Jeong and Cho Yong Yun. "A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles" Journal of Internet of Things and Convergence 8, no.2 (2022) : 35-40.doi: 10.20465/KIOTS.2022.8.2.035
Ga-Young Jeong; Cho Yong Yun. A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles. Journal of Internet of Things and Convergence, 8(2), 35-40. doi: 10.20465/KIOTS.2022.8.2.035
Ga-Young Jeong; Cho Yong Yun. A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles. Journal of Internet of Things and Convergence. 2022; 8(2) 35-40. doi: 10.20465/KIOTS.2022.8.2.035
Ga-Young Jeong, Cho Yong Yun. A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles. 2022; 8(2), 35-40. Available from: doi:10.20465/KIOTS.2022.8.2.035
Ga-Young Jeong and Cho Yong Yun. "A Study on Efficient Methods of Pesticide Control Using Agricultural Unmanned Aerial Vehicles" Journal of Internet of Things and Convergence 8, no.2 (2022) : 35-40.doi: 10.20465/KIOTS.2022.8.2.035
