Patent ID: 9116125
Filing Date: 2015-08-25
Classification: G01N

Abstract:
1. A method for diagnosis of diseases and stresses in higher plants of an orchard, consisting of the following steps: a) Constructing a database of spectra, by collecting the emission spectrum of at least 150 leaves from sick trees and 150 leaves from healthy trees; Calibrating a classifying software and developing a classifying model, based on the database of spectra and using tools of machine learning, statistics and/or mathematics; b) Collecting at least 03 leaves from georeferenced trees of the orchard to be analyzed; c) Detecting and measuring the fluorescence emission spectrum of all the leaves collected in (b) to generate spectra; d) Analyzing the spectra generated in (c) using the classifying software and providing a diagnosis result; e) Generating a report for each tree based on prevalence of resulting diagnosis obtained from analyzed spectra of the collected leaves; and f) Based on georeference identification of each georeferenced tree and on the report for each tree, constructing a health status map of the orchard.