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Chunlei Xia,Mu Qiao,Bu-Keun Chung,Jongman Cho,Tae-Soo Chon 한국응용곤충학회 2008 한국응용곤충학회 학술대회논문집 Vol.2008 No.10
Accurate estimation of insect density is essential for effective pest management. A simple robotics and image processing system were combined to automatically recognize the density of whiteflies. Subsequently the robot arm was utilized to spray the pesticides in the area of infestation in a minimized amount. The estimated densities of samples in the laboratory condition were in accordance with the actual values. The detection system was efficient when the whitefly densities were at medium to high levels. The results of the present study indicate that the robotic and image processing integration system described here would be useful for evaluating the population dynamics.
Automatic Pest Detection Implemented in Robotics in Green House
Chunlei Xia,Bu-Keun Chung,Jang-Myung Lee,Tae-Soo Chon 한국응용곤충학회 2010 한국응용곤충학회 학술대회논문집 Vol.2010 No.05
Accurate estimation of pest density is a prerequisite in achieving efficient pest management. An automatic pest detection system with image processing was installed on a robot to recognize brown marmorated stink bug (Halyomorphahalys) on leaves of paprika(Capsicumannuumvar.angulosum). The shape of pest was recognized and subsequently the robot arm was moved toward the leaves to spray pesticides. The detection system was efficient along with increasing population densities increased. The robot with image processing system was useful for estimating population densities in spatial and temporal domain efficiently.
Chunlei Xia,Gahyeon Jin,Yong-Hyeok Jang,Hye-Won Kim,Falguni Khan,Yonggyun Kim,Tae-Soo Chon 한국응용곤충학회 2024 한국응용곤충학회 학술대회논문집 Vol.2024 No.04
Behavioral modulation by genetic changes garners a special attention nowadays as an effective means of revealing genetic function on the one hand and broadening the scope of in situ monitoring on the other hand. The cGMP-dependent protein kinase was treated to the western flower thrips, Frankliniella occidentalis. Automatic recognition techniques and computational methods were utilized to investigate behavioral changes across photo- and scoto-phases. Movement behaviors are objectively expressed according to parameter extraction and data structure visualization in different light phases. By comapring with the individuals without treatment, activities of treated thrips were changed including decrease in circadian rhythm. Usefulness of automatic monitoring of insect movement in different genetic strains is further discussed for providing useful information on monitoring and diagnosing natural and unntatural genetic disturbances.
Mathematical models applied to dispersal data of pest populations in greenhouse
Tuyen Van Nguyen,Chunlei Xia,Bu-Keun Chung,Hwang-Yong Kim,Tae-Soo Chon 한국응용곤충학회 2011 한국응용곤충학회 학술대회논문집 Vol.2011 No.05
In order to achieve the optimized pest control, correct estimation of pest densities is a prerequisite to monitor pest damage and to provide efficient pest management plans. Parameters regarding diffusion (e.g., diffusion constant) and population size (e.g., growth rate) were estimated by using diffusion equation. The time series dispersal data of Whiteflies collected in greenhouse were used for modeling. Cross-correlation analysis was conducted to reveal the range and direction of pest population invasion. Sampling theory was further investigated regarding estimation of densities, and population dynamics of Whiteflies were discussed in two dimensions.
Sampling of Bemisia tabaci adults using a pre-programmed autonomous pest control robot
정부근,XIA CHUNLEI,송유한,이장명,Yan Li,김흥수,전태수 한국응용곤충학회 2014 Journal of Asia-Pacific Entomology Vol.17 No.4
An autonomous robot (Cabbot)was built to control insect pests in a plastic greenhouse and utilized to sample adultwhiteflies (Bemisia tabaci) on paprika plants (Capsicum annum var. angulosum). To accomplish this, a sampling deviceconsisting of an air compressor for pest agitation, a sticky trap (100mm×150mm) and an image processingsystem for pest identification were installed on the Cabbot. The sampling precision of the Cabbot (D= 0.16)washigher than that of the sticky trap (D= 0.19) when sampling of adultwhite flies was conducted in caged pots. TheCabbot could also collect a substantial number of individuals within a short duration (3 minutes). The collection efficiency(i.e., percent of samples collected at least n (1 in this case) individuals to the total sample number) of insectsby the Cabbot was markedly high at low population size, showing approximately 30% when the populationsize was ≤16 individuals per plant. The sampling precision and collection efficiency suggested that the Cabbot iseffective in local, short-term sampling and could be used for early warning of pest occurrences.
Kha Quang Quach,김형수,Tuyen Van Nguyen,Chunlei Xia,조운석,전태수 한국통합생물학회 2015 Animal cells and systems Vol.19 No.4
Variance and invariance residing in multi-individual movement of zebrafish under chemical stress were addressed concurrently before and after treatment with formaldehyde. Variance was observed in movement parameters. Without treatment, linear speed was highest in groups with two-individuals, followed by those with one- and four-individuals. Following treatment, linear speed decreased significantly in groups with one- and two-individuals, but not in those with four-individuals. Inter-distances between two-individuals in groups with two-individuals decreased markedly after treatment, whereas inter-distances between two randomly selected individuals in the groups with four-individuals were not affected. The zero- and peak-values in the time-lag of autocorrelation of inter-distances decreased further after treatment in groups of two individuals relative to those in groups of four individuals. However, the empirical transition probability matrix between predefined behavioral patterns remained invariant among groups with different numbers of individuals as well as before and after treatment. Variance and invariance in multi-individual behaviors are suitable in expressing complex behaviors under chemical stress and could be a reference for detecting contaminants in the environment using indicator species.
Computational behavior applied to spatio-temporal movement of individuals and groups in insects
Tae-Soo Chon,Yong-Hyeok Jang,Hye-Won Kim,Chunlei Xia 한국응용곤충학회 2024 한국응용곤충학회 학술대회논문집 Vol.2024 No.04
Group movements of insects are bases for unravelling origin of social behavior of animals and are important in both theoretical (e.g., evolution) and practical (monitoriing) aspects. Automatic recognition and effective computational methods were developed for characterizing multi-individual interactions in laboratory conditions. Movements of Drosophila species in different genetic strains were continuously observed across days. Characteristic behaviors are objectively expressed based on parameter extraction and data structure visualization. Group activities, including aggregation, inter-individual interactions and arena positioning were objectively characterized in different photo- and scoto-phases according to machine-learning and spatio-termporal patterning techniques. Individual-group relationships are presented regarding how individual movements would contribute to formulating group activities. Usefulness of automatic monitoring of insect group movement is further discussed for a basis for genetic functioning in behavioral aspect.