Images Processing of Unmanned Aerial Vehicle (UAV) for Cannabis Identification.

Autor: Guno, Yomi (AUTHOR), Rezaldi, Muhammad Yudhi (AUTHOR) myud001@brin.go.id, Triputra, Fadjar Rahino¹ (AUTHOR), Suhud, Ridwan² (AUTHOR), Febriandirza, Arafat² (AUTHOR), Rustandi, Apid³ (AUTHOR), Sutyawan, Aang Gunawan⁴ (AUTHOR), Syahrul⁵ (AUTHOR), Tanasa, Irfansyah Yudhi¹ (AUTHOR), Wicaksono, Guno⁶ (AUTHOR), Leonardus, Alberto⁶ (AUTHOR), Karyawan (AUTHOR), Widyawasta (AUTHOR), Kaharjito, Frandi Adi¹ (AUTHOR), Fuadi, Abid Paripurna⁷ (AUTHOR), Hidayat, Asyaraf¹ (AUTHOR), Wibowo, Mukti⁵ (AUTHOR), Depari, Yohanes P.D.S.³ (AUTHOR), Raharjo, Dwi⁸ (AUTHOR), Rudiyono⁶ (AUTHOR)

Publikováno v: Traitement du Signal. Jun2024, Vol. 41 Issue 3, p1473-1483. 11p.

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking

Autor: Zhu, Yujiao, Chen, Mingzhe, Wang, Sihua, Hu, Ye, Liu, Yuchen, Yin, Changchuan

In this paper, the problem of using one active unmanned aerial vehicle (UAV) and four passive UAVs to localize a 3D target UAV in real time is investigated. In the considered model, each passive UAV receives reflection signals from the target UAV, wh

Externí odkaz: http://arxiv.org/abs/2401.12079

玉米不同生育期多旋翼植保无人机防治 草地贪夜蛾施药参数优化.

Autor: 肖 勇¹ xiaoyong@gdaas.cn, 王思威¹, 雷春媚^1,2, 尹 飞¹, 彭争科¹, 刘艳萍¹, 李振宇¹ lizhenyu@gdaas.cn, 王潇楠¹ wangxiaonan@gdaas.cn

Publikováno v: Guangdong Agricultural Sciences. 2024, Vol. 51 Issue 8, p31-39. 9p.

SoybeanNet: Transformer-Based Convolutional Neural Network for Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Images

Autor: Li, Jiajia, Magar, Raju Thada, Chen, Dong, Lin, Feng, Wang, Dechun, Yin, Xiang, Zhuang, Weichao, Li, Zhaojian

Soybeans are a critical source of food, protein and oil, and thus have received extensive research aimed at enhancing their yield, refining cultivation practices, and advancing soybean breeding techniques. Within this context, soybean pod counting pl

Externí odkaz: http://arxiv.org/abs/2310.10861

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