Tohoku Agricultural Research Center (TARC) aims to promote technological development for the advancements in agriculture and food industry taking full advantage of the abundant natural resources of the Tohoku region, constituting the northern portion of Honshu, the largest island of Japan. The center promotes research and technological innovations focusing on the establishment of highly productive paddy field farming, coping with and utilizing cold climate, enforcing the circulatory functions of the agriculture and livestock industries, and enhancing health functionality and attaining safety and security.


NANOHANA Open Day 2023

The Tohoku Agricultural Research Center, NARO (TARC/NARO) is organizing NANOHANA Open Day 2023 on May 7, 2023. In our research center, the rape plants (nanohana) are grown annually to prevent repeated cultivation failure in the experimental breeding fields, and for green manure production. Please enjoy the "nanohana" that spreads all over the field against the backdrop of Mt. Iwate with residual snow. We look forward to seeing you at the venue. Admission is free.

Publication of a remote greenhouse monitoring system configuration manual

Press Release on Aug 31, 2021

NARO has published a manual for the reference of installation of "the remote greenhouse monitoring system". The "Kayoinougyo Shien System" is a remote monitoring system that allows the user/farmer to check agriculture information (Temperature inside the greenhouse, etc) on smartphone by combining a microcomputer with communication function and a small personal computer. By referring to this manual the system can be installed inexpensively and easily which enables the user to save labor in managing the greenhouse. Read more

Improvement of rice yield prediction in a higher CO2 world by multiple crop models

Press Release on Dec 20, 2017

A study by researchers at NARO with 18 organizations in nine countries found that multiple crop simulatiom models provide reliable estimates of rice yield in higher CO2 levels in the atmosphere. The study tested 16 rice simulation models against the observed yield under elevated CO2 concentration. The yield prediction response varied significantly among the different models, but the averaged predictions agreed well with the observations suggesting that the effect on rice yield can be accurately predicted using multiple prediction models. The improvement of yield prediction will be an important basis for developing countermeasures against climate change. Read more.