GIS and Remote Sensing for Detecting Yield Loss in Cranberry Culture.

摘要: The primary goal of our research is to develop key elements a precision agriculture program applicable high-value woody perennial crops, such as cranberries. These crop systems exhibit tremendous variability in yields and quality imposed by variations soil properties (water availability nutrient deficiency) that lead stress (disease development weed competition). Some the present growing environment results persistent yield losses well crop-quality reductions. We are using state-of-the-art methodologies (GIS, GPS, remote sensing) identify map spatial crop. Through image-processing methods (NDVI unsupervised classification), approximately 65% variation was described 4-m multispectral satellite data base image.