The Climate Corporation

Marian Farah

Wei Guan

Daniel Williams

Ying She

Juan Pablo Bedoya

Yaqi Chen

Julian Boshard

Victor Stuber

Gerard Guillemette

Joost Kemink

Jeffrey Gerard

A method and system for decontaminating raw yield maps by combining filters with spatial outlier detectors is provided. In an embodiment, the method comprises receiving over a computer network electronic digital data comprising first yield data representing crop yields harvested from an agricultural field; applying one or more filters to the first yield data to identify, from the first yield data, first outlier data; generating first filtered data from the first yield data by removing the first outlier data from the first yield data; identifying, in the first filtered data, second outlier data representing outlier values based on one or more outlier characteristics; generating second outlier data from the first filtered data by removing the second outlier data from the first filtered data; generating and causing displaying on a mobile computing device a graphical representation of the crop yields harvested from the agricultural field using only the second outlier data.

Computer-generated accurate yield map data using expert filters and spatial outlier detection

In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.

Crop component count

Crop disease recognition and yield estimation

A method for estimating growth stage threshold values for a specific hybrid seed at a specific geo-location using historical growth stage data and observed growth stage data comprises using a server computer system, storing a historical crop growth model of one or more hybrid seeds measured from one or more fields over a particular period of time. The historical crop growth model includes growth stage threshold estimates for one or more hybrid seeds. The server computer system receives, via a network, one or more digital measurement values specifying one or more observed growth stage values for a particular hybrid seed at a particular field over a particular period of time. The server computer system transforms the growth stage thresholds into growth stage duration values for the historical crop data and the observed crop data. The server computer system then generates a posterior distribution of growth stage duration values for the particular hybrid seed using a multivariate distribution of growth stage duration value data, which is comprised of historical and observed growth stage data, a covariate matrix describing correlations between different growth stages, and an error matrix used to represent variations in the multivariate distribution. The server computer system estimates mean duration values and variance values for the different growth stages for the particular hybrid seed and then calculates estimated crop growth threshold values for the particular hybrid seed. The server computer system then sends the estimated crop growth threshold values to one or more external computer systems for the purposes of updating and programming crop management instructions.

Data assimilation for calculating computer-based models of crop growth

Growing community of inventors

San Francisco, CA, United States of America

Marian Farah