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University of Georgia (2002)

Using aerial imagery to determine the need for within-field management

Sanders Wells Jennifer

Titre : Using aerial imagery to determine the need for within-field management

Auteur : Sanders Wells Jennifer

Université de soutenance : University of Georgia

Grade : Master of Science 2002

Résumé
Although many agricultural fields vary spatially in soil properties and crop growth patterns, some agricultural fields are not good targets for precision agriculture because they are fairly uniform. The purpose of this project was to determine whether aerial imagery can be used to define areas within peanut fields requiring variable management. We found that the best time to acquire images to detect variability within dryland peanut fields is approximately 7.5 to 11.5 weeks after planting. Fields showing a great deal of variability in the images also varied in soil conditions or crop growth within the field. A variability index which incorporated all of the measured soil parameters accounted for 42% of the variability in reflectance values. Of the measured soil properties, the most important predictors of differences in reflectance and yield for the fields in this study were soil texture, organic matter, CEC, Ca, and Mn.

Mots-clés : Precision agriculture ; Aerial imagery ; Aerial photographs ; Remote sensing ; Peanut ; Within-field variability

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Page publiée le 27 avril 2011, mise à jour le 11 septembre 2018