Peru: Artificial intelligence system to monitor crops in international competition

게시됨 2021년 10월 20일

Tridge 요약

A team of developers from Peru, Argentina, Mexico, Uruguay, and Venezuela has developed a hydroponic agriculture monitoring system, eGreens, which is a finalist in IBM's Call for Code contest. The system uses artificial intelligence, automation, and IBM Cloud services to monitor micro-vegetable trays, warn when vegetables are ready to harvest, and automate watering. The team is working on an offline option and planning pilot tests in Mexico and other areas. The system can be used for a variety of micro-vegetables and quick-harvest seeds.
면책 조항: 위의 요약은 정보 제공 목적으로 Tridge 자체 학습 AI 모델에 의해 생성되었습니다.

원본 콘텐츠

With the use of artificial intelligence and automation, the aim is to facilitate the hydroponic agriculture of micro-vegetables to ensure a good food harvest. The eGreens crop monitoring system prototype, developed by a team with members in Peru, Argentina, Mexico, Uruguay and Venezuela, is the region's finalist for IBM's international Call for Code contest. Peterson Flemm, FullStack developer, explained to the Andina agency that for a month they worked on the prototype of the system that uses IBM Cloud services and includes a tray for planting micro-vegetables such as lettuce or carrots. "We have an advanced prototype, and we want to make an application so that people have access to the tools and know what kind of seeds they can sow," he said. eGreens will work as part of the monitoring system to warn the user that their vegetables are ready to be harvested thanks to the artificial intelligence they plan to integrate into this technological solution. In addition, through the ...

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