PhenoSense

Using e-kakashi sensor platforms to monitor conditions such as temperature, humidity and soil saturation. AI is applied to correlate that environmental data with the predefined ideal growing conditions for any particular crop.

Detalles Bibliográficos
Autor principal: CGIAR Research Program on Rice
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2018
Materias:
Acceso en línea:https://hdl.handle.net/10568/122441
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author CGIAR Research Program on Rice
author_browse CGIAR Research Program on Rice
author_facet CGIAR Research Program on Rice
author_sort CGIAR Research Program on Rice
collection Repository of Agricultural Research Outputs (CGSpace)
description Using e-kakashi sensor platforms to monitor conditions such as temperature, humidity and soil saturation. AI is applied to correlate that environmental data with the predefined ideal growing conditions for any particular crop.
format Informe técnico
id CGSpace122441
institution CGIAR Consortium
language Inglés
publishDate 2018
publishDateRange 2018
publishDateSort 2018
record_format dspace
spelling CGSpace1224412023-03-14T11:48:08Z PhenoSense CGIAR Research Program on Rice soil development rural development data temperature systems agrifood systems humidity saturation Using e-kakashi sensor platforms to monitor conditions such as temperature, humidity and soil saturation. AI is applied to correlate that environmental data with the predefined ideal growing conditions for any particular crop. 2018-12-31 2022-10-06T13:58:27Z 2022-10-06T13:58:27Z Report https://hdl.handle.net/10568/122441 en Open Access application/pdf CGIAR Research Program on Rice. 2018. PhenoSense. Reported in Rice Annual Report 2018. Innovations.
spellingShingle soil
development
rural development
data
temperature
systems
agrifood systems
humidity
saturation
CGIAR Research Program on Rice
PhenoSense
title PhenoSense
title_full PhenoSense
title_fullStr PhenoSense
title_full_unstemmed PhenoSense
title_short PhenoSense
title_sort phenosense
topic soil
development
rural development
data
temperature
systems
agrifood systems
humidity
saturation
url https://hdl.handle.net/10568/122441
work_keys_str_mv AT cgiarresearchprogramonrice phenosense