Belgium investigates smart detection of chicory leaf miner attack

게시됨 2022년 11월 11일

Tridge 요약

The article highlights the chicory leaf miner as a significant pest in chicory cultivation, causing damage to the root system and rendering the crop misshapen or unsaleable. The issue current lies in the inability to visually distinguish affected roots. In response, research centers are exploring the use of X-ray-based technologies and deep learning techniques to identify damage caused by the leaf miner, with the goal of reducing yield losses. The deep learning project, WiMiscan, which started in the summer and will run until spring 2025, aims to develop a method for quickly and accurately assessing X-ray images of chicory roots for leaf miner larvae damage.
면책 조항: 위의 요약은 정보 제공 목적으로 Tridge 자체 학습 AI 모델에 의해 생성되었습니다.

원본 콘텐츠

The chicory leaf miner is the most important pest in chicory cultivation. The larvae can attack the growing point of the root on land or migrate to the leaf collar and root neck during late summer. Affected growing points mean that no or a misshapen crop is formed when chicory is pulled. Larvae elsewhere in the root migrate to the crop in migration, leaving behind visible mining tunnels. This makes the heads unsaleable. Today it is impossible to distinguish the affected chicory roots. This makes yield losses unavoidable. Internal quality inspection The X-ray based technologies have emerged in recent years for the internal quality inspection of food products. The differences in density between damage caused by chicory leafminer larvae and healthy root tissue may offer opportunities to identify affected chicory roots, says Praktijkpunt Landbouw Vlaams-Brabant. According to the research center, the technique has already proven itself in other crops, such as top fruit. 'In order to be ...
출처: Nieuwe Oogst

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