Abstract
This chapter introduces the different aspects of computer vision and drone technology in the field of agriculture. The idea is to present various concepts, theories, applications, and future advancement of these underlying technologies. We hope that this chapter will help the readers to get the basic insights and their practical adaptability in agriculture. Further, to start with, the various terms of computer vision methodologies are discussed first, and then in the later part, the core of drone technology is introduced.
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References
Bai Y, Zhang B, Xu N, Zhou J, Shi J, Diao Z (2023) Vision-based navigation and guidance for agricultural autonomous vehicles and robots: a review. Comput Electron Agric 205:107584. https://doi.org/10.1016/j.compag.2022.107584. ISSN 0168-1699
Brosnan T, Sun D-W (2002) Inspection and grading of agricultural and food products by computer vision systems—a review. Comput Electron Agric 36(2–3):193–213, ISSN 0168-1699. https://doi.org/10.1016/S0168-1699(02)00101-1
Chouhan SS, Kaul A, Singh UP (2018) Soft computing approaches for image segmentation: a survey. Multimed Tools Appl 77:28483–28537. https://doi.org/10.1007/s11042-018-6005-6
Chouhan SS, Kaul A, Singh UP (2019) Image segmentation using computational intelligence techniques: review. Arch Comput Methods Eng 26:533–596. https://doi.org/10.1007/s11831-018-9257-4
Chouhan SS, Singh UP, Jain S (2020) Applications of computer vision in plant pathology: a survey. Arch Comput Methods Eng 27:611–632. https://doi.org/10.1007/s11831-019-09324-0
Chouhan SS, Singh UP, Sharma U, Jain S (2021) Leaf disease segmentation and classification of Jatropha curcas L. and Pongamia pinnata L. biofuel plants using computer vision based approaches. Measurement 171:108796. https://doi.org/10.1016/j.measurement.2020.108796, ISSN 0263-2241
Feng L, Chen S, Zhang C, Zhang Y, He Y (2021) A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenoty**. Comput Electron Agric 182:106033. https://doi.org/10.1016/j.compag.2021.106033, ISSN 0168-1699
Pathak H, Igathinathane C, Zhang Z, Archer D, Hendrickson J (2022) A review of unmanned aerial vehicle-based methods for plant stand count evaluation in row crops. Comput Electron Agric 198:107064. https://doi.org/10.1016/j.compag.2022.107064, ISSN 0168-1699
PatrÃcio DI, Rieder R (2018) Computer vision and artificial intelligence in precision agriculture for grain crops: a systematic review. Comput Electron Agric 153:69–81, ISSN 0168-1699. https://doi.org/10.1016/j.compag.2018.08.001
Singh UP, Chouhan SS, Jain S (2020) Images as graphical password: verification and analysis using non-regular low-density parity check coding. Int J Inf Technol. https://doi.org/10.1007/s41870-020-00477-x
Tian H, Wang T, Liu Y, Qiao X, Li Y (2020) Computer vision technology in agricultural automation —a review. Inf Process Agric 7(1):1–19, ISSN 2214-3173. https://doi.org/10.1016/j.inpa.2019.09.006
Townsend A, Jiya IN, Martinson C, Bessarabov D, Gouws R (2020) A comprehensive review of energy sources for unmanned aerial vehicles, their shortfalls and opportunities for improvements. Heliyon 6(11):e05285, ISSN 2405-8440,. https://doi.org/10.1016/j.heliyon.2020.e05285
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Chouhan, S.S., Singh, U.P., Jain, S. (2024). Introduction to Computer Vision and Drone Technology. In: Chouhan, S.S., Singh, U.P., Jain, S. (eds) Applications of Computer Vision and Drone Technology in Agriculture 4.0. Springer, Singapore. https://doi.org/10.1007/978-981-99-8684-2_1
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DOI: https://doi.org/10.1007/978-981-99-8684-2_1
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