• Korean Journal of Environmental Agriculture
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• v.33 no.1
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• pp.52-56
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• 2014

BACKGROUND: It is known that impacts of climate change on damage occurrence by insect pests and diseases are increasing. The negative effects of climate change on production will threaten our food security. It is needed that on the basis of analysis of the impacts, proper strategies in response to climate change are developed. METHODS AND RESULTS: The objective of this paper is to estimate impacts of climate change on rice damage occurrence by insect pests and diseases, using the panal model which analyzes both cross-section data and time series data. The result of an analysis on impacts of climate change on rice damage occurrence by pest insect and disease showed that the damage occurrence by Rice leaf roller and Rice water weevil increased if temperature increased, and damage occurrence by Stripe, Sheath blight, and Leaf Blast increased if precipitation(or amount of sunshine) increased(or decreased). CONCLUSION: Adaptation strategies, supplying weather forecasting information by region, developing systematical strategies for prevention of damage occurrence by pest insect and disease, analyzing the factors of damage occurrence by unexpected pest insect and disease, enforcing international cooperation for prevention of damage occurrence are needed to minimize the impacts of damage occurrence on rice production.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.316-319
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• 2014

People's interests in coffee are increasing with the expansion of coffee market. In this trend, people's taste becomes more luxurious and coffee bean's quality is considered to be very important. Currently, bean defects are mainly detected by experienced specialists. In this paper, a detection system of bean defects using machine learning is presented. This system concentrates on detecting two main defect types : bean's shape and insect damage. Convolutional Neural Networks are used for machine learning. The neural networks are comprised of two neural networks. The first neural network detects defects in the bean's shape, and the second one detects the bean's insect damage. The development of this system could be a starting point for automated coffee bean defects detection. Later, further research is needed to detect other bean defect types.

• Korean journal of applied entomology
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• v.57 no.1
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• pp.33-38
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• 2018

Walnuts are one of the most economically important fruit trees in forestry. In walnut orchards, however, studies examining damage by insect pests are limited. This study was conducted to investigate the rate of damage caused by Conogethes punctiferalis to walnut fruits and by Acrocercops transecta to walnut leaves. In 2017, the change of damage rate (caused by C. punctiferalis) to fruits were investigated in Buyeo. In addition, we counted fruits and leaves damaged by two lepidopteran species in Gimcheon, Buyeo, Yeongdong, and Hwaseong. Damaged fruits steadily increased in abundance with fruit growth in Buyeo, and the highest number of damaged fruits was documented in late summer. The rates of damage caused by C. punctiferalis to fruits in Buyeo, Gimcheon, and Hwaseong were 22.1%, 20.5%, and 11.7%, respectively. Additionally, the rates of damage caused by A. transecta to leaves in seedlings (58.5% on average) were significantly higher than to those in older trees (11.2% on average), irrespective of the study location. In conclusion, this study showed that C. punctiferalis and A. transecta were serious pests affecting walnut fruits and leaves, respectively. Therefore, management methods for these insect pests need to be developed.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.1
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• pp.75-83
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• 2019

Fruit bagging is a traditional way to produce high-quality fruit and to prevent damage from insects and diseases. Growing pears by non-bagging is concerned about the damage from insect, it can be controlled by installing a insect net facility. Wind load should be considered to design the insect net facility because it has the risk of collapse due to the strong wind. So we carried out wind tunnel test for measurement of drag force, where the insect net with porosity about 65% is selected as an experimental subject. As a result of the test, drag force was measured to be 244.14 N when insect net area and wind speed are $1m^2$ and 22.7 m/s respectively. And, drag coefficients for the insect net were found to be about 0.55~0.57, which may be used as the preliminary data to design the insect net facilities at the orchard.

• Korean Journal of Organic Agriculture
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• v.22 no.2
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• pp.269-280
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• 2014

This study was performed to test the insecticidal and antimicrobial activity of plant extracts from clove, Sophora flavescens Aiton and neem. As the result of antimicrobial activity test, clove extract showed the strongest activity against Botrytis cinerea. In insecticidal activity test, the extract of Sophora flavescens Aiton was the highest against Nilaparvata lugens. The pyroligneous liquor (10%) and emulsified spreader (10%) were added to the extracts of clove and Sophora, respectively, to apply the environment-friendly rice field. In the field treated clove extract, disease damage occurred 49.1% and insect damage occurred 29.5% compared to control plot (100%). In the field treated Sophora extract, disease damage was 56.7% and insect damage was 21.0% compared to control plot (100%). In conclusion, plant extracts from Sophora and clove could control about 50% of disease and about 70% of insect damage that they could be used as environment-friendly resources to control disease and insect in rice farming.

• Korean journal of applied entomology
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• v.35 no.1
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• pp.45-51
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• 1996

As the pest of the Letinus edoeds, five insect species and six animal species are investigated injuring the fresh mushroom. Of these, insect and animals, Achorutes armatus, Scaphidium amurense and Philomycus confusa caused severe damage to mushroom fruitbody, and a greate deal of damage was done to mushroom lamella by mites (Rhizoglyphis sp., and Histiostoma sp.). As the pest of Lentinus edodes bed logs, two insect species from immature bed logs, eight insects and one isopod species from matured bed logs were investigated. Of those, Moechotypa diphysis was found to be the most injurious species from both immature and matured bed logs. As the pest of Pleurotus ostreatus, six insects and the two mite species were investigated from sporophore. Of those, Lycoriella sp. and Mycophilla sp. are considered to be very serious. while two insects and five mite species were investigated from the mushroom bed. Of those, one insect (Lycoriella sp.) and two mites (Histiostoma feroniarum and Throglyphus bankslogior) found to be abundant and caused serious damage.

• Weed & Turfgrass Science
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• v.5 no.4
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• pp.274-279
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• 2016

Aphanisticus congener is a newly recorded buprestid (Coleoptera) insect pest of turfgrass in Korea. This buprestid pest was initially found from turfgrass conservation site in a greenhouse in Jinju, Gyeongnam province, Korea in July, 2014. The Aphanisticus in the family Buprestidae is a leaf miner. A. congener is the close species of A. aeneus which was firstly reported as sugarcane leaf sucker in India. A. congener was active from early July to late August in the greenhouse. Damage by the insect led to drying out and browning of turfgrass leaf because larva fed on cell sap of leaves and adult fed on leaf surface. A. congener damaged Zoysia japonica, Z. sinica, Conodon dactylon, and Poa pratensis when adults were artificially released into potted turfgrasses in the laboratory. In green house, A. congener damaged Z. japonica, Z. macrostachya, Z. matrella, Z. sinica, Conodon dactylon, and hybrid zoysiagrass. However, no damage symptoms were observed from the same turfgrass accessions in the nearby field of the greenhouse. Thus, the new coleopteran pest may be a warm-adapted pest for turfgrass, damaging turfgrass leaf only in warmer conditions.

• Journal of Forest and Environmental Science
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• v.33 no.3
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• pp.243-255
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• 2017

Plants planted in the green-roofed areas in Busan and Jinju were surveyed. The woody plants investigated in this study were classified into 52 families and 156 species, and the herbaceous plants were classified into 30 families and 97 species. Woody plants mainly planted were Rhododendron yedoense var. poukhanense, R. indicum, C. kousa, P. mume, and E. alatus. However, Pinus spp. were planted in all areas. The main herbaceous species planted were Sedum kamtschaticum, S. takesimense, S. middendorffianum, T. quinquecostatus var. japonica, and A. spathulifolius Maxim. According to surveying the distribution of woody plant pests, they could be classified into six orders, 24 families, and 46 species that usually appeared from April to October but especially between June and September. We investigated 39 insect species in relation to pest damage to leaves, 21 insect species in relation to that of branches, and 39 insect species in relation to that of stems of woody plants.

• Korean Journal of Organic Agriculture
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• v.25 no.3
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• pp.619-630
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• 2017

In recent years, not only the cultivation area of Jujube in Korea but also the number of pest species has increased. The farmers farming environmentally friendly are in great difficulty because there are no effective control devices. This study was conducted to investigate the control effect of the insect screen net on three pest species (Apolygus spinolae, Dasineura sp. and Carposina sasakii) in Jujube orchard when the pests were blocked by insect screen net. For the first and second surveys, the damage rates by A. spinolae were 9.06, 13.95% in 50 mesh, 4.75, 10.17% in 25 mesh, 5.68, 11.84% in 18mesh mesh of insect screen net and 21.6, 36.34% in untreated insect screen net, respectively. The damage rates by Dasineura sp. were 0.54, 0.13% in 50 mesh, 0.93, 2.84% in 25 mesh, 1.05, 13.45% in 18 mesh mesh of insect screen net and 11.1, 26.65% in untreated insect screen net. Carposina sasakii were completely blocked in all the treatments. Damages on Jujube were not observed by insect screen net. Therefore, insect screen net is effective on insect pest control for Jujube.

• Korean journal of applied entomology
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• v.33 no.4
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• pp.237-241
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• 1994

Surveys were conducted in 66 ginseng fields damaged by insect and other an~mal pests from 1984 to 1993. Holohichio rnoroso, Holotrichio dromphalio, Holotrichia titonis Malodera orientaliq Ectinus sericeus, Gyllotalpa ofricana, Teleog~iluse mmo, Ostrinio furnacoii* Agrotis tokionis, Marnestro brassicae, Hydrellia griseolo, unidentified stem maggo$, Pseudococcus comstocki (13 species of insects). Deroceras uarions (slug), Acusta despecta sieboldiona (snail), probably two species of rats. and pheasant species were ascertained to damage ginseng plants M them, Holotrich~a morosa, Holotrichia diomphalia, Gryliotaipo africanq Deroceras uarions, Acusto despech siebaldiano showed higher frequencies. Underground (root) damage occul~ed mainly in spring penod (MayJune) and fall period (September-Odober) in 2-year-old glnseng fields at slopes, and aboveground (leaf and stem) damage occurred mainly in spring period in 3 or more-year-old ginseng iields mulched with rice straws at plains. Three ginseng fields were abolished due to heavy underground damage.