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5.6 Sensing and Information Handling for Crop Protection

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Ramon, Herman, Dimitros Moshou, Cedric Bravo, Els Vrindts, and Josse De Baerdemaeker. 2006. Section 5.6 Sensing and Information Handling for Crops, pp. 279-289 of Chapter 5 Precision Agriculture, in CIGR Handbook of Agricultural Engineering Volume VI Information Technology. Edited by CIGR--The International Commission of Agricultural Engineering; Volume Editor, Axel Munack. St. Joseph, Michigan, USA: ASABE.  .(doi:10.13031/2013.21681)
Authors:   H. Ramon, D. Moshou, C. Bravo, E. Vrindts, and J. De Baerdemaeker
Keywords:   Weed detection, Reflection, Fluorescence, Disease detection, Sensor fusion, Neural network, Spot spraying

Precision farming techniques have given new impetus to the development of efficient crop protection, enabling locally optimized crop treatments after evaluation of the crop status. During recent years different sensing techniques have been developed for this evaluation. In this section we look at weed sensing and crop disease detection. The wide variety of automatic evaluation possibilities rely on the radiation characteristics of the crop. Solar light reflection as well as thermal radiation can be used. Chlorophyll fluorescence provides deeper insight in the physiological changes during plant growth. These techniques, however, need to be used with great care. Upto- date computational methods synthesize and provide reliable information concerning the crop status in real field circumstances. Neural networks and sensor fusion architectures are discussed.

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