Abstract
The farmland crop information is the important foundation of developing fine agricultural practice. Crop information acquisition technologies have become the most effective means to increasing crop production and improving crop quality. In this paper, on the basis of introducing the characteristics of farmland crop data, different farmland crop information acquisition methods are surveyed in detail, sections need to be improved of these methods and related core technologies will be discussed. At last, this paper gives a table about crop information acquisition technology and sensing instrument systems applied in different levels (individual level, area level and wide-area level).
Chapter PDF
Similar content being viewed by others
References
Wang, M.: Development of Precision Agriculture and Innovation of Engineering Technologies. Transactions of the Chinese Society of Agricultural Engineering 1 (1999)
He, Y., Zhao, C., Wu, D., Nie, P., Feng, L.: Fast detection technique and sensor instruments for crop-environment information: A review. Scientia Sinica, Informationis S1 (2010)
Wang, F., Zhang, S.: Research Progress of the Farming Information Collections Key Technologies on Precision Agriculture. Transactions of the Chinese Society for Agricultural Machinery 5 (2008)
Liu, X., Nelson, M., Ibrahim, M.: The Value of Information in Precision Farming. Paper of the Southern Agricultural Economics Association Annual Meeting (2008)
Duan, Y., Niu, X.: Research on Farmland Information Acquisition System Based on IoT. Advanced Materials Research (Volumes 532 - 533) (2012)
Zhang, G., Chen, H., Zhou, G.F., Ge, G.M.: A Survey on Crop growth dynamic monitoring technology. Chinese Meteorological Society 9 (2010)
A RADARSAT-2 Quad-Polarized Time Series for Monitoring Crop and Soil Conditions in Barrax, Spain. IEEE Transactions on Geoscience and Remote Sensing 50(4) (2012)
He, D., He, Y., Li, M., Hong, T.: Research Progress of Information Science-related Problems in Precision Agriculture. China Academic Journal Electronic Publishing House 01, 10–16 (2011)
Huang, J., Tang, S., Ousama, A., et al.: Rice yield estimation using remote sensing and simulation model. J. Zhejiang U Sci. A 3, 1862–1775 (2002)
Peng, X., Zhang, S.: Research on Rice Growth Status Based on NDVI and LAI. Remote Sensing Technology and Application 1 (2002)
Yang, M., Liu, L., Liu, T., et al.: Research on a Method to Retrieve Biophysical and Biochemical Parameters of Wheat Canopy with Hyperspectral Remote Sensing. Geodaetica Et Cartographic Sinica 4 (2002)
Shimizu, H., Heins, R.D.: Computer vision based system for plant growth analysis. Trans. ASAE 38, 958–964 (1995)
Zhao, C., Liu, L., Zhou, H., et al.: Development and application of a novel NDVI instrument. Optical Technique 30(3), 324–326, 329 (2004)
Aziz, S.A., Steward, B.L., Birrell, S.J., Shrestha, D.S., Kaspar, T.C.: Ultrasonic sensing for corn plant canopy characterization. ASAE Paper No. 041120. St. Joseph, Mich.: ASAE (2004)
Lan, Y., Zhang, H., Lacey, R., Hoffmann, W.C., Wu, W.: Development of an Integrated Sensor and Instrumentation System for Measuring Crop Conditions. Agricultural Engineering International: CIGR Journal (2009)
Qu, Y., Wang, J., Dong, J., et al.: Design and experiment of crop structural parameters automatic measurement system. Transactions of the CSAE 28(2), 160–165 (2012)
Sui, R., Wilkerson, J.B., Wilhelm, L.R., Tompkins, F.D.: A microcomputer-based morphometer for bush-type plants. Computer and Electronics in Agriculture 4, 43–58 (1989)
Searcy, S.W., Beck, A.D.: Real time assessment of cotton plant height. In: Proceedings of Fifth International Conference on Precision Agriculture (CD), Bloomington, MN, USA (2000)
Tumbo, S.D., Salyani, M., Whitney, J.D., Wheaton, T.A., Miller, W.M.: Investigation of laser and ultrasonic ranging sensors for measurements of citrus canopy volume. Applied Engineering in Agriculture 18(3), 367–372 (2002)
Ehsani, M.R., Lang, L.: A sensor for rapid estimation of plant biomass. In: Proc. the 6th Intl. Conf. on Precision Agri., Bloomington, MN, pp. 14–17 (July 2002)
Jones, C.L., Maness, N.O., Stone, M.L., Jayasekara, R.: Sonar and digital imagery for estimating crop biomass. ASAE Paper No. 043061. St. Joseph, Mich.: ASAE (2004)
Sui, R., Alex Thomasson, J., Ge, Y.: Development of Sensor Systems for Precision Agriculture in Cotton. Int. J. Agric. & Biol. Eng. 5(4), 1–14 (2012)
Yao, J., Yang, H., He, Y.: Nondestructive Detection of Rape Leaf Chlorophyll Level Based on Vis/NIR spectroscopy. Journal of Zhejiang University (Agriculture and Life Sciences) 4 (2009)
Liu, F., Wang, L., He, Y., Bao, Y.: Detection of SPAD Value of Cucumber Leaves Based on Visible/near Infrared Spectroscopy Technique. Journal of Infrared and Millimeter Waves 4 (2009)
Li, G., Zhu, L., Li, J.: Present Status of Research and Application of Non-destructive Measurement of Nitrogen Nutrition Diagnosis. Heilongjiang Agricultural Sciences 4, 127–129 (2008)
Chen, P., Sun, J., Wang, J., et al.: Using remote sensing technology for crop nitrogen diagnosis: status and trends. Scientia Sinica (Informationis), S1 (2010)
Feng, L., Fang, H., Zhou, W., et al.: Nitrogen Stress Measurement of Canola Based on Multi-Spectral Charged Coupled Device Imaging Sensor. Spectroscopy and Spectral Analysis 9, 1749–1752 (2006)
Duan, A., Meng, Z.: Present Situation of Techniques and Equipments of Monitoring Crop Water Status. Review of China Agricultural Science and Technology 9(1), 6–14 (2007)
Hou, R., Ji, H., Rao, Z., et al.: Water detection instrument design for living leaves based on near infrared spectroscopy. Transactions of the Chinese Society of Agricultural Engineering S2 (2009)
Li, D., Guo, L., Guo, C., et al.: Development of leaf temperature measuring instrument and its application in plant leaf parameter measurement. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) 28(5), 139–144 (2012)
González-Dugo, M.P., Moran, M.S., Mateos, L., Bryant, R.: Canopy temperature variability as an indicator of crop water stress severity. Irrigation Science 24, 233–240 (2006)
Reynolds, M.P., Pierre, C.S., Saad, A.S.I., Vargas, M., Condon, A.G.: Evaluating potential genetic gains in wheat associated with stress-adaptive trait expression in elite genetic resources under drought and heat stress. Crop Science 47, 172–189 (2007)
Mahana, J.R., Conatyb.c, W., Neilsenc, J., Payton, P., Cox, S.B.: Field performance in agricultural settings of a wireless temperature monitoring system based on a low-cost infrared sensor. Computers and Electronics in Agriculture 71, 176–181 (2010)
O’Shaughnessy, S.A., Evett, S.R.: Developing Wireless Sensor Networks for Monitoring Crop Canopy Temperature Using a Moving Sprinkler System as a Platform. Applied Engineering in Agriculture 26(2) (2010)
Fisher, D.K., Kebede, H.: A low-cost microcontroller-based system to monitor crop temperature and water status. Computers and Electronics in Agriculture 74, 168–173 (2010)
Thylen, L., Murphy, D.P.L.: The control of errors in momentary yield data from combine harvesters. Journal of Agriculture Engineering Research 64(4), 271–278 (1996)
Kuang, Y., Xiao, M.: The Field Information Collection Apparatus. Journal of Agricultural Mechanization Research 8 (2010)
Cai, Y., Liu, G.: Development of portable system of field information collection and wireless transmission. In: Proceedings of Commemorate the Chinese Society of Agricultural Engineering was established 30 anniversary of Chinese Society of Agricultural Engineering 2009 Annual Conference, CSAE 2009 (2009)
Xu, X., Li, Z., Zhang, J.: The Design of Portable Cropland Information Collection Equipment Base on GPRS and GPS Technology. Journal of Agricultural Mechanization Research 8 (2008)
Zheng, X., et al.: Study on Design of Farmland Information Acquisition and Transmission System Based on ZigBee. Journal of Anhui Agricultural Sciences 6 (2003)
Li, X., Wang, W., Lei, T., et al.: Prospects of the application of multi-sensor information fusion techniques in agricultural engineering. Transactions of the CSAE 19(3), 10–12 (2003)
Han, C., Zhu, H.: Multi-sensor information fusion and automation. Acta Automatica Sinica (S1), 117-124 (2002)
Yang, W., Li, M., Wang, X.: Status quo and progress of data transmission and communication technology in field information acquisition. Transactions of the CSAE 24(5), 297–301 (2008)
Ramalingam, N., Ling, P.P., Derksen, B.C.: Background reflectance compensation and its effect on multispectral leaf surface moisture assessment. Trans. ASAE 48, 375–383 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 IFIP International Federation for Information Processing
About this paper
Cite this paper
Yi, D., Ji, H. (2014). A Survey on Farmland Crop Information Acquisition. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture VII. CCTA 2013. IFIP Advances in Information and Communication Technology, vol 419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54344-9_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-54344-9_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54343-2
Online ISBN: 978-3-642-54344-9
eBook Packages: Computer ScienceComputer Science (R0)