In agricultural ecosystems, the relationship between insect pests and hosts is important, as insect pests can invade hosts, increasing insect pest density that threatens the hosts’ health. Insect pests and hosts are negatively correlated and affect the environment around them. i.e., host health, environment, and insect pest density are causally related, and the environment affects insect pest density. Deep learning is method of machine learning based on neural network theory. This approach enables handling uncertain environmental factors that simultaneously impact the density of F. occidentalis. Environmental factors affecting the density fluctuation of F. occidentalis selected atmosphere factors, soil factors, and host factors. This study aims to F. occidentalis monitoring using deep learning models inputting environmental factors.

A causality exists between insect density and plant health, where plant health is affected by both the plant’s potential and environmental factors. In other words, causality is possible between insect density and environmental factors, allowing for the analysis of insect density based on these environmental factors. Machine learning enables studying insect density alongside environmental factors, providing insights into the causality between insects, the environment, and plant health. Machine learning is a methodology that involves the design of models by learning patterns from input data. This study aims to predict F. occidentalis density by sampling environmental factors and applying them to machine learning models.

비래해충은 중국에서 제트기류를 타고 유입하여 피해를 일으키는 해충으로 애멸구를 제외한 나머지 것들의 월동은 불가능 한 것으로 알려져 있다. 기후변화는 이러한 비 월동개체군의 월동 가능성 및 토착화 가능성을 내포하고 있으므로, 이에 대비하여 비래해충의 피해가 있는 주 재배지별 비래해충의 발생과 유입특성 파악을 위한 실태조사가 절실하다. 본 연구에서는 전라북도 3개의 시군, 전라남도 4개의 시군을 선정하여 비래해충에 대한 실태조사를 진행하였다. 이 중 멸구류 (벼멸구(Nilaparvata lugens), 애멸구(Laodelphax striatellus), 흰등멸구(Sogatella furcifera))는 육안조사, 포충망조사, 끈끈이 트랩을 이용하였고, 나방 두 종류(멸강나방(Mythimna separata), 혹명나방(Cnaphalocrocis medinalis))는 종 특이적 페로몬을 설치하여 조사하였다.

Five major migratory insect pest populations (Nilaparvata lugens, Sogatella furcifera, Laodelphax striatellus, Cnaphalocrocis medinalis, Mythimna separata) migrate from the southern China to Korea through jet streams. This study was conducted from July 2017 to August 2017 in rice paddy of Jeolla-province. C. medinalis and M. separata collected using pheromone traps, while N. lugens, S. furcifera and L. striatellus collected using 3 methods (visual surveys, sweeping surveys, sticky traps). Spatial Analysis by Distance IndicEs (SADIE) was used to analyze spatial distribution and index of aggregation Ia, index of clustering Vi, Vj were used to investigate the spatial distribution. Also, the clustering indices were mapped as red-blue plot.

The two-spotted spider mite, Tetranychus urticae Koch (TSSM)(Acari: Tetranychidae) is the major arthropod pest in strawberry greenhouses. Elevated levels of stress caused by high populations of TSSM can lead to a significant reduction in vegetative growth and flower development, which can decrease the quality and quantity of mature fruits. Currently, TSSM is managed by pesticide, and which makes that is distributed all over the world with various pesticide resistances and environmental side effects. To solve these problems, alternative pest management strategies are being tried. Biological control, one of alternative strategies, is relatively low toxicity and stable to agricultural ecosystems. I compared the density of TSSM in export strawberry greenhouses, those are under conventional pesticides and natural enemy applied, respectively, and also evaluated the cost of management of each control strategy.