Abstract
Background: With the progress of science and technology and the advent of the new era, UAV remote sensing technology has developed rapidly in recent years and the application fields have been increasing. UAV remote sensing technology is widely used in the field of agriculture, crop growth monitoring, crop yield prediction, crop information monitoring, pest and disease detection and other aspects are more prominent.
Objective: By analyzing and discussing the existing Chinese patents on UAV remote sensing technology, we summarize the current applications and future development prospects of UAV remote sensing technology in China's agricultural field.
Methods: An overview of current Chinese patents on different directions of UAV remote sensing technology in the agricultural field, and an analysis of the methods used to achieve different application implementation effects.
Results: By analyzing the existing Chinese patents on UAV remote sensing technology, we conclude that the functions they can achieve for different crops can be applied to the data collection of all crops, and analyze their characteristics to summarize future development trends.
Conclusion: Through an in-depth study of Chinese UAV remote sensing patents in agriculture, it can be concluded that UAV remote sensing technology can achieve higher applicability and lower cost in agriculture, and for its information collection for one crop, it can be extended to apply to all crops. In the future, UAV remote sensing technology can be more easily and quickly applied to crop information acquisition in the agricultural field.
Graphical Abstract
[1]
H.Y. Lv, "UAV development and UAV technology", World. Sci. Technol. Res. Dev., vol. 40, no. 9, pp. 113-116, 1998.
[2]
P. Wang, "Summary of key technologies for remote sensing information acquisition based on micro and small UAVs", J. Agric. Eng. Res., vol. 13, no. 18, pp. 1-12, 2014.
[3]
G. Sun, "Progress in application of light and small UAV multi spectral remote sensing technology", J. Agric. Mach., vol. 49, no. 03, pp. 1-17, 2018.
[4]
G.C. Lv, "Discussion on key technologies of remote sensing information acquisition based on micro UAVs", South. Agric. Mach., vol. 49, no. 20, pp. 107-126, 2018.
[5]
Osco Lucas Prado, "A review on deep learning in UAV remote sensing", Int. J. Appl. Earth. Obs. Geoinf, vol. 102, 2021.
[6]
Y.D. Guo, "Research on application of UAV low altitude remote sensing technology.Ind. technol", Forum, vol. 21, no. 03, pp. 37-38, 2022.
[7]
H. Qiao, "Overview of application research of UAV remote sensing system", Sci. Technol. Innovation, no. 36, pp. 1-2, 2017.
[8]
N. Li, "Research on the application of remote sensing technology based on low altitude UAVs", Value. Eng., vol. 37, no. 25, pp. 112-113, 2018.
[9]
M. Chen, "Research on key technologies of remote sensing system for light and small UAVs", Electron. Technol. Software Eng, no. 10, pp. 131-132, 2017.
[10]
X. Yang, Design and implementation of remote sensing system for light and small UAVs, M.S. thesis, National University of Defense Technology, 2017.
[11]
K. He, Research on key technologies of small UAV remote sensing system, M.S. thesis, Chongqing University, 2017.
[12]
W. Jin, "Overview of the development and application of UAV remote sensing", Remote Sens. Inf, no. 01, pp. 88-92, 2009.
[13]
F.S. Gao, "Application and development of low altitude UAV remote sensing", Agric. Network. Inf., vol. 12, pp. 75-78, 2014.
[14]
D.R. Li, and M. Li, "Research progress and application prospects of UAV remote sensing system", Inf. Sci. Ed., vol. 39, no. 5, pp. 505-513, 2014.
[15]
M. Zhang, "Research on the application of UAV remote sensing technology in agriculture", J. Vocat. Tech. Coll., vol. 22, no. 04, pp. 131-133, 2022.
[16]
K.J. Cao, "Application prospect of UAV remote sensing technology in agriculture", Times. Agric. Mach., vol. 44, no. 07, p. 169, 2017.
[17]
Q.W. Yan, "Application of UAV remote sensing technology in agricultural production", Smart. Agric. Guide., vol. 1, no. 04, pp. 22-24, 2021.
[18]
J.Y. Li, "Analysis on the application of remote sensing technology of light and small UAVs in precision agriculture", South. Agric. Mach., vol. 53, no. 15, pp. 50-52, 2022.
[19]
F.G. Jin, "Application of small UAV remote sensing technology in precision agriculture", South. Agric. Mach, vol. 53, no. 20, p. 75-76+83, 2022.
[20]
H.M. Chen, "“Application of UAV remote sensing technology in modern agricultural production in China”, Anhui", Agric. Bull., vol. 27, no. 11, pp. 131-132, 2021.
[21]
Y. Jia, Z. Su, W. Shen, J. Yuan, and Z. Xu, "UAV remote sensing image mosaic and its application in agriculture", Int. J. Smart Home, vol. 10, no. 5, pp. 159-170, 2016.
[http://dx.doi.org/10.14257/ijsh.2016.10.5.15]
[http://dx.doi.org/10.14257/ijsh.2016.10.5.15]
[22]
P.F. Huang, "Research progress in remote sensing technology of agricultural UAVs", Electromech. Prod. Dev. Innovation., vol. 34, no. 03, pp. 43-45, 2021.
[23]
Y. Zhang, and P. Chen, "Application of UAV multi spectral remote sensing technology in agricultural statistics", South. Agric. Mach., vol. 53, no. 16, pp. 86-88, 2022.
[24]
L.Z. Teng, "Overview of the application of UAV remote sensing in agricultural monitoring", Sci. Technol. Inf., vol. 16, no. 23, pp. 122-124, 2018.
[25]
K.J. Cao, "Application of UAV remote sensing in agriculture", Today’s. Fortune, no. 09, p. 110, 2017.
[26]
F.T. Hu, "“Research progress in the application of UAV low altitude remote sensing in agriculture”, mod", Agric. Mach, no. 04, pp. 6-7, 2020.
[27]
R.D. Su, "“Overview of UAV application in modern agriculture”, Jiangsu", Agric. Sci., vol. 47, no. 21, pp. 75-79, 2019.
[28]
Z. Tian, Y. Zhang, K. Liu, Z. Li, M. Li, H. Zhang, and J. Wu, "UAV remote sensing prediction method of winter wheat yield based on the fused features of crop and soil", Remote Sens., vol. 14, no. 19, p. 5054, 2022.
[http://dx.doi.org/10.3390/rs14195054]
[http://dx.doi.org/10.3390/rs14195054]
[29]
H.L. Tao, "“Estimation of winter wheat biomass based on UAV hyperspectral remote sensing data”, Jiangsu", J. Agric., vol. 36, no. 05, pp. 1154-1162, 2020.
[30]
J. Zhou, X. Lu, R. Yang, H. Chen, Y. Wang, Y. Zhang, J. Huang, and F. Liu, "Developing novel rice yield index using UAV remote sensing imagery fusion technology", Drones, vol. 6, no. 6, p. 151, 2022.
[http://dx.doi.org/10.3390/drones6060151]
[http://dx.doi.org/10.3390/drones6060151]
[31]
J.G. Liu, "Research progress of UAV remote sensing analysis of crop phenotypic information in the field", J. Agric. Eng., vol. 32, no. 24, pp. 98-106, 2016.
[32]
W. Chen, "“Application and prospect of UAV remote sensing in crop monitoring”, Shanghai", J. Agric., vol. 32, no. 02, pp. 138-143, 2016.
[33]
Q. Li, "Remote sensing monitoring of wheat growth based on UAV image technology", Agric. Mech. Res., vol. 44, no. 05, pp. 193-197, 2022.
[34]
F.C. Zheng, "Remote sensing monitoring of wheat growth based on UAV image technology", Agric. Technol., vol. 42, no. 04, pp. 58-60, 2022.
[35]
V.O. Sadras, G.J. Rebetzke, and G.O. Edmeades, "The phenotype and the components of phenotypic variance of crop traits", Field Crops Res., vol. 154, pp. 255-259, 2013.
[36]
P.F. Wei, "Remote sensing estimation of nitrogen content in summer maize leaves based on UAV multispectral images", J. Agric. Eng., vol. 35, no. 8, pp. 126-133, 2019.
[37]
Z.T. Zhang, "Corn canopy temperature extraction and crop water stress monitoring based on UAV remote sensing images", J. Agric. Eng., vol. 37, no. 23, pp. 82-89, 2021.
[38]
M.G. Zhou, "Multispectral inversion of winter wheat chlorophyll content based on UAV remote sensing", Water. Sav. Irrig, no. 09, pp. 40-45, 2019.
[39]
W. Wang, "QTL mapping of leaf area index and chlorophyll content based on UAV remote sensing in wheat", Agric., vol. 12, no. 5, p. 595, 2022.
[http://dx.doi.org/10.3390/agriculture12050595]
[http://dx.doi.org/10.3390/agriculture12050595]
[40]
H.L. Tao, "Monitoring of winter wheat growth based on UAV hyperspectral growth index", J. Agric. Mach., vol. 51, no. 02, pp. 180-191, 2020.
[41]
X.Y. Wang, "Research on maize growth monitoring based on visible spectrum of UAV remote sensing", Spectrosc. Spectral Anal., vol. 41, no. 1, 2021.
[42]
T.T. Shi, "Research on the application of UAV remote sensing in the monitoring of naked purple beads", Chin. J. Tradit. Chin. Med., vol. 44, no. 19, pp. 4078-4081, 2019.
[43]
G.F. Yang, "UAV remote sensing monitoring crop pest stress methods and the latest research progress", Smart. Agric., vol. 4, p. 1-16, 2022.1.
[44]
P. Diao, and L.B. Gao, "Application methods and research progress of UAV remote sensing in crop pest monitoring", South. Agric. Mach., vol. 53, no. 16, pp. 8-13, 2022.
[45]
H.B. Zhao, "Methods and latest research progress of UAV remote sensing monitoring crop pest stress", South. Agric. Mach., vol. 53, no. 16, pp. 43-45, 2022.
[46]
C. Zhang, and Q. Kang, "Research progress in monitoring crop diseases and insects by UAV remote sensing", Agric. Technol., vol. 42, no. 03, pp. 47-49, 2022.
[47]
D.M. Gao, "Research on agricultural pest monitoring technology based on the Internet of Things and low altitude remote sensing", Northeast. Agric. Sci., vol. 45, no. 01, pp. 108-113, 2021.
[48]
D.L. Yimamu, Monitoring of cotton pests based on UAV multispectral remote sensing images, M.S. thesis, Xinjiang University., 2021.
[49]
W.F. Leng, "Preliminary study on monitoring wheat stripe rust by UAV remote sensing", J. Plant Pathol., vol. 42, no. 02, pp. 202-205, 2012.
[50]
T. Wang, J.A. Thomasson, T. Isakeit, C. Yang, and R.L. Nichols, "A plant-by-plant method to identify and treat cotton root rot based on UAV lsing", Remote Sens., vol. 12, no. 15, p. 2453, 2020.
[http://dx.doi.org/10.3390/rs12152453]
[http://dx.doi.org/10.3390/rs12152453]
[51]
X. X. Li, "A method and system for crop growth monitoring based on UAV low altitude remote sensing", C.N. Patent. 108,776,106, 2018.
[52]
J. Zhang, "Prediction method of fresh corn maturity based on UAV remote sensing and deep learning", C.N. Patent. 114,140,692, 2022.
[53]
L. Z. Liu, "A wheat seedling monitoring method based on UAV remote sensing and deep learning", C.N. Patent. 114,419,439, 2022.
[54]
Z. T. Ding, "A method and system for measuring crop growth parameters based on UAV multispectral remote sensing image", C.N. Patent. 114,202,675, 2022.
[55]
W. Zhang, "Estimation method of soybean harvest maturity based on UAV remote sensing", C.N. Patent. 114,092,839, 2022.
[56]
D. K. Mo, "A rapid yield estimation method of camellia oleifera forest based on UAV remote sensing", C.N. Patent. 112,966,579, 2021.
[57]
T. Tian, "A rice yield prediction method and system based on UAV remote sensing", C.N. Patent. 110,222,903, 2021.
[58]
F. Liu, "A crop yield prediction method and system based on UAV low altitude remote sensing information", C.N. Patent. 111,815,014, 2020.
[59]
Z. F. Zhou, "An estimation method of edible fungi production based on UAV visible light remote sensing", C.N. Patent. 113,554,675, 2020.
[60]
W. J. Fan, and S. Q. Yang, "A prediction method of winter wheat yield based on UAV imaging hyperspectral remote sensing", C.N. Patent. 110,927,082, 2020.
[61]
F. M. Wang, "Rice yield estimation method using UAV remote sensing based on imaging hyperspectral vegetation index and growth period length information", C.N. Patent. 109,508,693, 2021.
[62]
S. Q. Deng, "A monitoring method of wheat canopy nitrogen content based on multi source remote sensing data", C.N. Patent. 113,063,740, 2021.
[63]
B. Z. Zhang, H. Chen, Q. Wei, and Z. Wei, "A method for retrieving water content of winter wheat plants based on UAV multi spectral remote sensing", C.N. Patent. 110,222,475, 2021.
[64]
W. T. Han, "A method for extracting canopy temperature of field corn based on UAV visible light and thermal infrared remote sensing", C.N. Patent. 109,269,645, 2019.
[65]
X. Li, "A Xia System and method of retrieving winter wheat plant moisture content based on UAV multi spectral remote sensing", C.N. Patent. 111,829,957, 2020.
[66]
Y. Ye, and X. Yang, "A retrieval method of crop chlorophyll content based on UAV hyperspectral remote sensing", C.N. Patent. 113,537,108, 2021.
[67]
H. Y. Cen, "A survey system and method of orchard diseases and pests based on UAV remote sensing", C.N. Patent. 106,778,888, 2017.
[68]
Y.Q. Guan, "Disease and pest monitoring system based on UAV multi spectral remote sensing", C.N. Patent. 105,739,518, 2016.
[69]
C. Liu, "A method and system for crop pest identification based on UAV", C.N. Patent. 113,989,689, 2022.
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