US 12,444,511 B1
Computer system and method for predicting nutrient levels and generating treatment recommendations for cocoa trees
Carol Brigley, Whitehouse Station, NJ (US); Marcelinus Alfasisurya Setya Adhiwibawa, Kota Batu (ID); and Andrew Carlos Kondlatsch, Curitiba (BR)
Assigned to Intercontinental Great Brands LLC, East Hanover, NJ (US)
Filed by INTERCONTINENTAL GREAT BRANDS LLC, East Hanover, NJ (US)
Filed on May 2, 2024, as Appl. No. 18/653,855.
Int. Cl. G16Z 99/00 (2019.01); G06N 20/00 (2019.01)
CPC G16Z 99/00 (2019.02) [G06N 20/00 (2019.01)] 21 Claims
 
1. A computing platform comprising:
at least one network interface;
at least one processor;
at least one non-transitory computer-readable medium; and
program instructions stored on the at least one non-transitory computer-readable medium that are executable by the at least one processor such that the computing platform is configured to:
receive spectrometry data for a leaf sample of a cocoa tree, wherein the spectrometry data was generated by a spectrometer by (i) emitting electromagnetic radiation (EMR) within a given spectrum towards the leaf sample, (ii) measuring an extent of the EMR that was absorbed by the leaf sample at respective wavelengths within the given spectrum, and (iii) generating the spectrometry data based on the measured extent of the EMR that was absorbed by the leaf sample;
utilize a first set of one or more artificial intelligence (AI) models to predict one or more nutrient levels for the leaf sample based on the spectrometry data;
utilize a second set of one or more AI models to generate one or more recommendations for treating the cocoa tree based on the one or more nutrient levels; and
cause the one or more recommendations to be presented to an individual involved in managing the cocoa tree, wherein the cocoa tree is thereafter treated in accordance with the one or more recommendations.