English 
Agri-Shot Co., Ltd. has been selected for the development and demonstration project of a pest occurrence prediction system for fruit cultivation in the “2024 Pioneering Industrial Technology Support Project” sponsored by Wakayama Prefecture. Through this project, we aim to commercialize a system that can predict the occurrence of pests and diseases using cutting-edge AI and IoT technology and effectively control pests with the minimum amount of pesticide spraying, in order to achieve efficient control of pests and diseases, which are an issue in fruit cultivation.
In modern society, companies are required to balance solving social issues with business growth while responding to the growing global environmental awareness. The EU has set a goal of reducing pesticide use by 50% by 2030 in its “Farm to Fork Strategy,” and the shift to environmentally friendly agriculture is an urgent task in the global market. In Japan, too, it is essential to build a sustainable agricultural production system that meets international certification standards in order to achieve the goal of 10 trillion yen in agricultural exports. While pest control using pesticides is still essential for sustainable agricultural production, efforts to reduce pesticide use by effective control at the optimal spraying timing are being emphasized. In daily farming activities, spraying pesticides at the optimal timing increases the pest control effect of the pesticide, which results in reduced pesticide use, reduced pesticide costs, and improved yield and quality.
全国の各研究機関の調査結果をもとに、気温・湿度・降水量などの環境データから病害虫の発生を予測できるウェブアプリケーションを導入し、県内の産地を中心に約100カ所に環境モニタリング装置「アグリショット」を設置することで、カイガラムシ、アザミウマ、黒点病などの主要病害虫の発生を事前に察知し、果樹農家が最適な時期に効果的に農薬を散布できるようにします。
ソース PRTIMES
日本語