e-kakashi

Are you satisfied with just
“viewing
environmental data”?

By analyzing the data fromour sensors
in real time,
our IoT technology gives youupdated
information
not only on the climate,
but also on the growth statusof your plants,
detecting potential problemssuch as the pests
and diseases and findingthe
best solutions for them.

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SERVICE

ai_brain_en

Environmental data and work information together as onee-kakashi and Gateway

The basic "e-kakashi" set. Measure the environment by installing various sensors on the field.

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CASE STUDY

Munakata, Fukuoka

Agricultural IoT Solution "e-kakashi" have been installed in strawberry greenhouse and are used for the improving young farmers skill and yield.Achieved an average increase in sales of about 800,000 JPY (appox. 8,000 USD) per 10 ares.

case_01

Yosano, Kyoto

Agricultural IoT solution "e-kakashi" have been installed in rice field and are used for inheriting knowhow of experienced farmers to younger generation.The time required to acquire skills has been shortened from 5 years to 2 years.

case_02

Yamatane Corporation, Japan Agricultural Cooperatives

Agricultural IoT Solution "e-kakashi" have been installed in rice field to support market-in agriculture.Production increased by an average of 10%.

Yamatane Corporation, Japan Agricultural Cooperatives

Manga: Rice cultivation and environmental conservation

Science-based agriculuture of e-kakashi Read in comic

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NEWS

2020.12.04

Introduced in "The Japan Journal"-Digital Transformation for Development: Japan's Contribution-

2020.08.24

A keynote speech at AgroFuturo 2020

2019.10.28

SoftBank Corp.’s AI-powered ‘e-kakashi’ Solution for Sustainable Agriculture Adopted for Smart Rice Farming Project in Colombia

"e-kakashi" in South America

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VISION

Takashi Togami Ph.D.

Greein Inc.
Representative Director and CEOTakashi Togami Ph.D.

Not a technical point of view, think what you have to do from the plant perspectives

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Kyosuke Yamamoto Ph.D.

Greein Inc. Director CTOKyosuke Yamamoto Ph.D.

e-kakashi's hybrid AI applies plant physiology, and enables meaningful predictions with limited volume of data

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