- Sunnyvale CA, US Nicholas William GARNER - Sunnyvale CA, US Achint Jagjit SANGHI - San Diego CA, US Pragya KUMAR - Sunnyvale CA, US Ali AHMED - Los Gatos CA, US Glenn ADLER - Santa Clara CA, US
The present disclosure describes methods and apparatus for remote sensing with data science. The methods and apparatus have many applications including monitoring the quality of grain during storage and/or transport. The present disclosure describes a way to collect temperature and other environmental data to describe and predict quality of stored grains, current and future, based on a myriad factors including fumigation, external temperature and humidity, in storage grain temperature and humidity.
Method And Apparatus For Remote Monitoring And Management Of Storage Using Machine Learning And Data Analytics
- Sunnyvale CA, US Peter GOESSERINGER - Saratoga CA, US Nicholas GARNER - Sunnyvale CA, US Pragya KUMAR - Sunnyvale CA, US Achint Jagit SANGHI - Irvine CA, US
The present disclosure describes methods and apparatus for remote sensing with data analytics. The methods and apparatus have many applications including monitoring the quality of grain during storage and/or transport. The present disclosure describes a way to collect temperature and other environmental data to describe and predict quality of stored grains, current and future, based on a myriad factors including fumigation, external temperature and humidity, in storage grain temperature and humidity.
Method And Apparatus For Remote Monitoring And Management Of Storage Using Machine Learning And Data Analystics
- Sunnyvale CA, US Nicholas William GARNER - Sunnyvale CA, US Pragya KUMAR - Sunnyvale CA, US Achint Jagjit SANGHI - Irvine CA, US
Assignee:
TeleSense, Inc. - Sunnyvale CA
International Classification:
G01D 11/24 G01D 7/00
Abstract:
The present disclosure describes methods and apparatus for remote sensing with data analytics. The methods and apparatus have many applications including monitoring the quality of grain during storage and/or transport. The present disclosure describes a way to collect temperature and other environmental data to describe and predict quality of stored grains, current and future, based on a myriad factors including fumigation, external temperature and humidity, in storage grain temperature and humidity.