Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and Macadamia tree crops

Abstract

This paper evaluates the potential of very high resolution multispectral (Worldview-3) satellite imagery for mapping yield parameters in avocado and macadamia orchards. An evaluation of 18 structural and pigment based vegetation indices (VIs) derived from Worldview-3 imagery identified a positive relationship to nut/ fruit weight (kg/tree) R 2 >0.69 for macadamia and R 2 >0.68 for avocado; and nut/ fruit number (per tree) R 2 >0.6 for macadamia and R 2 >0.61 for avocado. Using the algorithms derived between the optimal VI and the measured parameter, yield and nut/ fruit number maps were derived for each block. In the absence of a commercial yield monitor, the resulting yield maps offer significant benefit to growers for improving orchard management, harvest scheduling, and forward selling decisions.