Abstract
3S technologies are the core technologies of precision agriculture. On the basis of deep analysis of the current 3S technologies application in precision agriculture, this thesis points out some problems about this application, mainly including incomplete agricultural remote sensing mode, low level of remote sensing interpretation, low standardization and sharing degree of remote sensing, lack of GIS basic data. It also puts forward some suggestions and countermeasures to solve these problems, including improving and expanding agriculture database, researching the mechanism of agricultural remote sensing image interpretation, enhancing standardization of remote sensing data, improving positioning accuracy of farmland operations, attaching importance to integration of new farm machinery and 3S technologies, and applying seamless integration of multi-source spatial data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, Z.: Current research situation and development tendency of precision agriculture. Farm Mach. 9, 114–119 (2015)
Qin, Q.: The application of 3S technologies in precision agriculture. J. China Agric. Resour. Reg. Plann. 6, 58–61 (2000)
Wang, S., Wu, C.: Study on 3S technologies applications in precision agriculture. Chin. Agric. Mech. 6, 79–82 (2010)
Li, X., et al.: Crop classification recognition based on time-series images from HJ satellite. Trans. Chin. Soc. Agric. Eng. 2, 169–176+298 (2013)
Cui, F., Song, X., Sun, B., Wang, J.: Change detection of winter wheat area based on multi-temporal TM images. Remote. Sens. Inf. 5, 89–95 (2012)
Ding, M., et al.: Survey methods of sugarcane plant area based on HJ-1 satellite data. Chin. J. Agrometeorol. 2, 265–275 (2012)
Cheng, Z., Zhang, J., Meng, P., Li, Y., Wang, H., Li, C.: Improvement of algorithm used for extraction hyperspectral feature bands of vegetation. Trans. Chin. Soc. Agric. Eng. 12, 179–185 (2015)
Li, W., Yang, B., Huang, Y.: Study on remote sensing monitoring technology for flood disaster based on MERSI. Sci. Technol. Inf. 32, 61–62+65 (2012)
Xin, M., Yin, H., Chen, L., Zhang, M., Ren, Z., Miao, J.: Estimation of rice leaf area index with different growth stages based on hyperspectral remote sensing data. Chin. J. Agrometeorol. 06, 762–768 (2015)
Chen, H.: Discussion on the application of remote sensing technology in agriculture. Anhui Agric. Sci. Bull. 19, 190–192 (2009)
Yao, Y., Qin, Q., Zhang, Z., Li, B.: Research progress of hyperspectral technology application in agricultural remote sensing. Trans. Chin. Soc. Agric. Eng. 07, 301–306 (2008)
Xie, G., Yang, R., Lu, Y.: Advanced analysis of agricultural applications of remote sensing technology. J. Guangxi Teach. Educ. Univ. 2, 88–96 (2014)
Shi, G.: Application of GPS and GIS technologies in monitoring system of precision agriculture. Hubei Agric. Sci. 10, 1948–1950 (2011)
Zheng, L., Li, M., Ji, R., Ye, H., Wu, C., Zhang, J.: Development of soil moisture management models based on GIS for farmland and its application. Trans. Chin. Soc. Agric. Eng. S2, 13–17 (2009)
Liu, X., Meng, Z., Chen, J., Wu, W.: Design and implementation of crop diseases and pests information collecting and diagnostic system. Comput. Eng. Des. 07, 2361–2364+2408 (2011)
Chen, L., Zhou, W., Yu, D., Zeng, H., Wang, F., Fan, T.: Application progress and prospect of GIS in precision agriculture. J. Anhui Agric. Sci. 22, 352–354 (2015)
Wei, X., Dan, Z., Sun, H., Zhang, J.: Development of vehicular embedded information processing system for map-based precision farming. Trans. Chin. Soc. Agric. Eng. 06, 142–149 (2013)
Li, Y., Zhao, Z., Gao, J., Wu, X., Guan, W.: Agricultural automatic navigation system based on DGPS positioning and double closed-loop steering control. Res. Agric. Mod. 02, 387–394 (2016)
Li, W.: Technological models of agricultural resource information and its application mechanism based on 3S at township level. Shandong Agricultural University (2011)
Xu, H.: Research on integration system of intelligent agricultural machinery based on 3S technologies. Chengdu University of Technology (2015)
Zhang, X., Wang, G.: Application of remote sensing technology in precision agriculture. J. Green Sci. Technol. 07, 211–213 (2011)
Qin, Q.: The problem and approach in the auto-interpretation of remote sensing imagery. Sci. Surv. Mapp. 25(2), 21–24 (2000)
Song, Q., Tian, D.: Explore and enhance the method of improving GPS positioning accuracy. Managers’ J. 18, 437 (2015)
Jiang, H.: Application of GPS technology in agricultural machinery. Agric. Sci. Technol. Equip. 02, 75–76 (2013)
Song, G., Zhong, E., Liu, J., Xiao, L.: A study on seamless integration of multi-sources spatial-data (SIMS). Prog. Geogr. 19(02), 110–111 (2000)
Acknowledgement
Funds for this research was provided by the National High-tech R&D Program (863 Program) (Grant No. 2013AA102301) and the innovation subject of Shandong province agricultural application technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 IFIP International Federation for Information Processing
About this paper
Cite this paper
Wu, Q., Liu, Z., Yang, D., Han, Z. (2019). Problems and Countermeasures of 3S Technologies Application in Precision Agriculture. In: Li, D. (eds) Computer and Computing Technologies in Agriculture X. CCTA 2016. IFIP Advances in Information and Communication Technology, vol 509. Springer, Cham. https://doi.org/10.1007/978-3-030-06155-5_47
Download citation
DOI: https://doi.org/10.1007/978-3-030-06155-5_47
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-06154-8
Online ISBN: 978-3-030-06155-5
eBook Packages: Computer ScienceComputer Science (R0)
