ai tomato

Country
Japan
Sustainable development goals
  • Decent work and economic growth
  • Responsible consumption and production
Project link
https://www.ehime-u.ac.jp/wp-content/uploads/2017/10/520634de30e14ba1e68dbabffdd2fdf7.pdf

About the project

The ai tomato Project aims to utilize artificial intelligence and big data to accurately understand plant growth, and visualize such data and analytics for better understanding and actionable next steps to decrease working hours by 10 percent and improve the value chain in the agriculture industry.

More project information

The ai tomato Project aims to utilize artificial intelligence and big data to accurately understand plant growth, and visualize such data and analytics for better understanding and actionable next steps to decrease working hours by 10 percent and improve the value chain in the agriculture industry.

The ai tomato Project was established in response to the call-to-action by the Ministry of Agriculture, Forestry, and Fishery (MAFF) surrounding their Artificial Intelligence/Future Agriculture Development Project in alignment with the Society 5.0 Initiative defined by the national government in June 2017. The Project adopts IoT, sensor, and artificial intelligence technology developed by the Research Center for High-Technology Greenhouse Plant Production at Ehime University, and adds expertise from the other partner companies, including PwC, Toppan, PLANT DATA Co., Asai Nursery, Fukui Wago, and Kyowa, to form a consortium under the lead of Professor Kotaro Takayama from the Laboratory of Physiological Green Systems at Ehime University.

The technology provided by Ehime University collects daily data on aspects such as plant development, photosynthesis patterns, and coloring to determine plant growth trends and the optimal time for harvesting. Toppan, Kyowa, and PLANT DATA Co. will be involved in the development of a high precision labor management system aimed to manage work effectiveness through plant growth algorithms, data tracking, and data visualization. PwC will be involved in linking the big data with actionable measures to decrease work hours, through the utilization of artificial intelligence. PwC’s AI model will be able to analyze and develop a harvesting scenario that cuts unnecessary labor and ultimately leads to a 10 percent reduction in work hours. Asai Nursery and Fukui Wago will provide harvesting and labor management technology that utilizes the AI model and big data to maximize labor efficiency and increase production.

The success of this artificial intelligence project will allow for workers in the agricultural space to optimize their time and efficiency, which addresses the key goals of the Decent Work and Economic Growth SDG. In addition, the artificial intelligence model will also allow for sustainable production, through the deeper understanding and management of plant growth and harvesting, which also satisfies goals addressed in the Responsible Consumption and Production SDG.