Ben H Allen

US Patent:

20210224927, Jul 22, 2021

Filed:

Mar 11, 2021

Appl. No.:

17/198257

Inventors:

- Boston MA, US
Geoffrey Albert von Maltzahn - Boston MA, US
Robert Berendes - Riehen, CH
Eric Michael Jeck - San Mateo CA, US
Barry Loyd Knight - Cordova TN, US
Rachel Ariel Raymond - Arlington VA, US
Ponsi Trivisvavet - Lexington MA, US
Justin Y. H. Wong - Boston MA, US
Neal Hitesh Rajdev - Lincoln MA, US
Casey James Leist - Cambridge MA, US
Pranav Ram Tadi - Corona CA, US
Andrea Lee Flaherty - North Grafton MA, US
Charles David Brummitt - Cambridge MA, US
Naveen Neil Sinha - Somerville MA, US
Jordan Lambert - Cambridge MA, US
Jonathan Hennek - Medford MA, US
Carlos Becco - Buenos Aires, AR
Mark Allen - Sydney, New South Wales, AU
Daniel Bachner - Sao Paulo, BR
Fernando Derossi - Boston MA, US
Ewan Lamont - Charlestown MA, US
Rob Lowenthal - Brooklyn NY, US
Dan Creagh - Chicago IL, US
Steve Abramson - Waltham MA, US
Ben Allen - Cedar Park TX, US
Jyoti Shankar - Charlestown MA, US
Chris Moscardini - Amesbury MA, US
Jeremy Crane - Boston MA, US
David Weisman - Somerville MA, US
Gerard Keating - Winchester MA, US
Lauren Moores - Charlestown MA, US
William Pate - Kingston NH, US

International Classification:

G06Q 50/02
A01C 21/00
A01B 79/00
A01B 79/02
G06K 9/00
G06K 9/42
G06K 9/62
G06Q 10/04

Abstract:

A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.