과제정보
본 결과물은 농촌진흥청 재원으로 농업정책지원기술개발사업의 지원을 받아 연구되었음(PJ01606106).
참고문헌
- ASABE (American Society of Agricultural Engineers). 2009. ASABE S572.1 spray nozzle classification by droplet spectra. p. 4. ASABE Publishing, St. Joseph, MI, USA.
- Faical BS, Freitas H, Gomes PH, Mano LY, Pessin G, de Carvalho AC, Krishnamachari B, Ueyama J. 2017. An adaptive approach for UAV-based pesticide spraying in dynamic environments. Computers and Electronics in Agriculture 138:210-223. https://doi.org/10.1016/j.compag.2017.04.011
- Hanif AS, Han X, Yu SH. 2022. Independent control spraying system for UAV-based precise variable sprayer: A review. Drones 6:383.
- Ju CY, Park SJ, Son HI. 2017. Implementation of agricultural multi-UAV system with distributed swarm control algorithm into a simulator. pp. 37-38. In Proceeding of the KSAM (Korea Society for Agricultural Machinery) & ARC (Agricultural Robotics and Automation Research Center) 2017 Spring Conference. [in Korean]
- Kim G, Seo D, Kim KC, Hong Y, Lee M, Lee S, Kim H, Ryu HS, Kim YJ, Chung SO, et al. 2020. Tillage boundary detection based on RGB imagery classification for an autonomous tractor. Korean Journal of Agricultural Science 47:205-217. [in Korean] https://doi.org/10.7744/KJOAS.20200006
- Kim T, Lee DH, Kang SW, Cho SH, Kim KC. 2022. Estimation of tomato maturity as a continuous index using deep neural networks. Korean Journal of Agricultural Science 49:785-793. [in Korean] https://doi.org/10.7744/KJOAS.20220072
- Lim JT. 2019. A study on the characteristic analysis of the pest control drones using smart operating mode. Journal of Convergence for Information Technology 9:108-113. [in Korean]
- Moon IS, Kown HJ, Kim MH, Chang SM, Ra IH, Kim HT. 2020. Study on three-dimensional analysis of agricultural plants and drone-spray pesticide. Smart Media Journal 9:176-186. [in Korean] https://doi.org/10.30693/SMJ.2020.9.4.176
- Spoorthi S, Shadaksharappa B, Suraj S, Manasa VK. 2017. Freyr drone: Pesticide/fertilizers spraying drone-an agricultural approach. pp. 252-255. In Proceeding of the 2017 2nd International Conference on Computing and Communications Technologies (ICCCT). IEEE, Chennai, India.
- Wen S, Zhang Q, Yin X, Lan Y, Zhang J, Ge Y. 2019. Design of plant protection UAV variable spray system based on neural networks. Sensors 19:1112.
- Yu SH, Choi DK, Kim YH, Choi IS, Woo JK, Jun HJ, Lee SH, Choi Y. 2021. Analysis of nozzle spray characteristics by variation of spray pressure of drone spraying system. pp. 123-123. In Proceeding of the KSAM (Korea Society for Agricultural Machinery) 2021 Spring Conference. [in Korean]
- Yu SH, Lee J, Kang Y, Lee CH. 2022. Effects of UAV nozzle and spraying condition on spraying performance in rice field. Journal of the Korea Academia-Industrial cooperation Society 23:803-808. [in Korean] https://doi.org/10.5762/KAIS.2022.23.12.803