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Ben-Gurion University of the Negev (2012)

Hyperspectral Applications of Precision Agriculture for Field Crops in Drylands

Herrmann Ittai

Titre : Hyperspectral Applications of Precision Agriculture for Field Crops in Drylands

Auteur : Herrmann Ittai

Université de soutenance : Ben-Gurion University of the Negev

Grade : DOCTOR OF PHILOSOPHY (PhD) 2012

Résumé partiel
Enhancing crop productivity and reducing environmental impacts are primary goals of modern farmers. Spectral wavelengths in specific regions of the electromagnetic spectrum can be related to the state and condition of vegetation as well as to crop species or category (broadleaf or grass). The ability to identify, within an agricultural field, differences that are significant and important enough to be included in the site-specific crop management (termed also “precision agriculture”), can satisfy the above-mentioned farmers’ goals, i.e., economical profit and environmental benefits. The current dissertation is aimed at using spectral data and respective techniques to explore four potential field crop applications that could be used in framework of precision agriculture. These applications are : (1) assessing nitrogen (N) content in potato plants ; (2) assessing Leaf Area Index (LAI) in wheat or potato fields ; (3) detecting weeds in wheat and chickpea fields ; and (4) identifying two-spotted spider mite (TSSM) damage to greenhouse pepper leaves. These four applications are presented in five studies as the weed detection topic is presented by two studies. The main knowledge gaps that were explored are : vegetation indices that are not directly related to N content in plants are the main assessors of it ; potential ability to assess LAI by future satellites ; inadequate ability to spectrally separate between crops and weeds on ground level in the critical period of weed control ; spectral assessment of TSSM damage to leaves. Specific objectives were formulated for each of the studies.

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