Drone-Based Intelligent Spraying of Pesticides: Current Challenges and Its Future Prospects

Author:

Das Abhibandana,Kadawla Kanchan,Nath Hrishikesh,Chakraborty Sanjukta,Ali Habib,Singh Shreya,Dubey Vinod Kumar

Publisher

Springer Nature Singapore

Reference69 articles.

1. Abbas A, Zhang Z, Zheng H, Alami MM, Alrefaei AF, Abbas Q, Zhou L (2023) Drones in plant disease assessment, efficient monitoring, and detection: a way forward to smart agriculture. Agronomy 13:1524. https://doi.org/10.3390/agronomy13061524

2. Abdulridha J, Min A, Rouse MN, Kianian S, Isler V, Yang C (2023) Evaluation of stem rust disease in wheat fields by drone hyperspectral imaging. Sens 23:4154. https://doi.org/10.3390/s23084154

3. Adamides G et al (2012) User interface design principles for robotics in agriculture: the case of telerobotic navigation and target selection for spraying. In Proceedings of the 8th Asian Conference for Information Technology in Agriculture, vol 36. Taipei, Taiwan, pp. 1–8

4. Al Heidary M, Douzals JP, Sinfort C, Vallet A (2014) Influence of spray characteristics on potential spray drift of field crop sprayers: a literature review. Crop Prot 63:120–130. https://doi.org/10.1016/j.cropro.2014.05.006

5. Anonymous (2023). https://ohioline.osu.edu/factsheet/fabe540#:~:text=The%20newest%20design%20for%20discharging,controlled%20droplet%20atomizers%20(CDAs). Accessed: 18 July 2023

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