Data project could drive new alfalfa forage tools in Canada

게시됨 2021년 9월 17일

Tridge 요약

A new initiative, funded by Agriculture and Agri-Food Canada, aims to improve alfalfa producers' access to precision management tools through the development of two artificial intelligence (AI) decision management tools. The tools will identify factors affecting alfalfa yield and nutritional value, and assess winter survival rates. The lack of such tools in the forage sector has hindered its competitiveness, and the project aims to address this gap by creating a central database for forage. The project will also use satellite imagery and AI to help make management decisions, reducing the need for costly ground-truthing.

면책 조항: 위의 요약은 정보 제공 목적으로 Tridge 자체 학습 AI 모델에 의해 생성되었습니다.

원본 콘텐츠

A new initiative designed to improve alfalfa producers’ access to precision management tools could boost the crop’s popularity and increase production, industry officials say. Data collection has started for two new alfalfa artificial intelligence (AI) decision management tools across Ontario, Quebec, Nova Scotia and Manitoba. The project aims to create the data base needed to develop decision making and assessment tools that could make alfalfa more competitive. Why it matters: Unlike the annual cash crop sector, forages lack a database of information on best management practices and mitigation protocols to improve yields, nutritional values and increase winter survival rates. In July, the Canadian Forage and Grassland Association (CFGA) received approximately $2 million in funding from Agriculture and Agri-Food Canada’s Agriculture Strategic Priorities Program to develop two AI tools. One identifies the agronomic, climatic and soil-related factors affecting alfalfa yield and ...

출처: Farmtario