US 12,262,705 B2
Methods for deploying biosentinels to agricultural fields and monitoring biotic and abiotic stresses in crops remotely
Shely Aronov, San Francisco, CA (US); Roderick Kumimoto, San Francisco, CA (US); and Ari Kornfeld, San Francisco, CA (US)
Assigned to InnerPlant, Inc., Davis, CA (US)
Filed by InnerPlant, Inc., San Francisco, CA (US)
Filed on Jul. 27, 2023, as Appl. No. 18/227,054.
Application 18/227,054 is a continuation of application No. 17/592,275, filed on Feb. 3, 2022, granted, now 11,737,443.
Application 17/592,275 is a continuation of application No. 17/217,840, filed on Mar. 30, 2021, granted, now 11,602,141, issued on Mar. 14, 2023.
Application 17/217,840 is a continuation of application No. 16/908,526, filed on Jun. 22, 2020, granted, now 10,986,827, issued on Apr. 27, 2021.
Claims priority of provisional application 62/864,401, filed on Jun. 20, 2019.
Prior Publication US 2023/0380400 A1, Nov. 30, 2023
Int. Cl. A01M 1/02 (2006.01); A01G 13/10 (2006.01); A01N 63/14 (2020.01); G06Q 50/02 (2012.01); G06V 20/10 (2022.01)
CPC A01M 1/026 (2013.01) [A01G 13/10 (2013.01); A01N 63/14 (2020.01); G06Q 50/02 (2013.01); G06V 20/188 (2022.01); G06T 2207/30188 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method comprising:
(i) accessing one or more images of an agricultural environment comprising one or more sentinel plants wherein the images are captured at different time points throughout a first time period;
(ii) deriving a model by interpreting presence and/or magnitudes of one or more stressors in the agricultural environment during the first time period based on the one or more images in (i);
(iii) predicting presence and/or magnitudes of the one or more stressors in the agricultural environment during a second time period based on the model, wherein the second time period follows the first time period;
(iv) assessing at least one image of the agricultural environment captured during the second time period;
(v) interpreting presence and/or magnitudes of the one or more stressors in the agricultural environment during the second time period based on a set of features extracted from the at least one image of (iv); and
(vi) updating the model of (ii) based on the presence and/or magnitudes of the one or more stressors in the agricultural environment interpreted in (v).