• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.88-88
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• 2022

Detection of stress responses in crops is important to diagnose crop growth and evaluate yield. Also, the multi-spectral sensor is effectively known to evaluate stress caused by nutrient and moisture in crops or biological agents such as weeds or diseases. Therefore, in this experiment, multispectral images were taken by an unmanned aerial vehicle(UAV) under field condition. The experiment was conducted in the long-term fertilizer field in the National Institute of Crop Science, and experiment area was divided into different status of NPK(Control, N-deficiency, P-deficiency, K-deficiency, Non-fertilizer). Total 11 vegetation indices were created with RGB and NIR reflectance values using python. Variations in nutrient content in plants affect the amount of light reflected or absorbed for each wavelength band. Therefore, the objective of this experiment was to evaluate vegetation indices derived from multispectral reflectance data as input into machine learning algorithm for the classification of nutritional deficiency in rice. RandomForest model was used as a representative ensemble model, and parameters were adjusted through hyperparameter tuning such as RandomSearchCV. As a result, training accuracy was 0.95 and test accuracy was 0.80, and IPCA, NDRE, and EVI were included in the top three indices for feature importance. Also, precision, recall, and f1-score, which are indicators for evaluating the performance of the classification model, showed a distribution of 0.7-0.9 for each class.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.30 no.3
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• pp.245-251
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• 1985

Distributions of seed weight were investigated with different seed sized peanut varieties planted at the same time, and germination and field emergence percentage, growth, and seed yield were compared among three seed sizes of four peanut genotypes. Field performance also was carried out to evaluate the effects of cotyledon removal on growth and yields in field with large and small seed-sized peanut varieties. The variation of seed weight of large seed-sized was wider than small seed-sized peanut variety. The larger seed showed the higher percent germination after 3 days cold treatment in laboratary and field emergence. The growth was not different with their sizes, while seed yield was related to seed size in small seed-sized genotypes. The growth of peanut such as main stem, internodes, and total branches was affected significantly by cotyledon removal, although the differences were not obvious after podding time, and in small seed-sized variety Oltangkong, the yields was decreased by cotyledon removal but not in large seed-sized variety.

• Proceedings of the Korean Society of Crop Science Conference
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• 2005.08a
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• pp.22-46
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• 2005

Spatial and timely information on crop and filed conditions is one of the most important basics for rational and efficient planning and management in agriculture. Remote sensing, GIS, and modeling are powerful tools for such applications. This paper presents an overview of the state of the art in remote sensing of crop and field conditions with some case studies. It is also shown that a synergistic linkage between process-based models and remote sensing signatures enables us to estimate the multiple crop/ecosystem variables at a dynamic mode. Remotely sensed information can greatly reduce the uncertainty of simulation models by compensating for insufficient availability of data or parameters. This synergistic approach allows the effective use of infrequent and multi-source remote sensing data for estimating important ecosystem variables such as biomass growth and ecosystem $CO_2$ flux. This paper also shows a geo-spatial information system that enables us to integrate, search, extract, process, transform, and calculate any part of the data based on ID#, attributes, and/or by river-basin boundary, administrative boundary, or boundaries of arbitrary shape/size all over Japan. A case study using the system demonstrates that the nitrogen load from fertilizer was closely related to nitrate concentration of groundwater. The combined use of remote sensing, GIS and modeling would have great potential for various agro-ecosystem applications.

• Korean journal of applied entomology
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• v.52 no.4
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• pp.371-377
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• 2013

Occurrence of adult alfalfa weevil, Hypera postica Gyllenhal, was observed at Chinese milk vetch field, and host plant preference of its $1^{st}$ generation adult was observed at greenhouse and Chinese milk vetch field. The over-wintered adult of the weevil appeared from late March and peaked in mid April while the $1^{st}$ generation adult appeared from late April and peaked in late May. However, the occurrence of over-wintered adult was very low contrary to the $1^{st}$ generation adult which was very high with some variations among observed years. In greenhouse, host plant preference of $1^{st}$ adult generation of H. postica was evaluated with 11 different seedlings. H. postica was found to occur in significantly higher number on Chinese cabbage seedling followed by soybean, and kale at 7 days after releasing(DAR). Corn, crown daisy and sorghum were found to be the least preferred with nil occurrence of the weevil. Seedlings damage rate by H. postica feeding at 7DAR was the most severe on Chinese cabbage(60.0%) followed by soybean(50.0%), kale(30.0%), foxtail millet(16.7%), proso millet(13.3%) and lettuce(3.3%) significantly. Also, seedlings damage rate by H. postica at 7DAR in Chinese milk vetch field had shown the similar trend with Chinese cabbage(46.7%), soybean(43.3%), kale(23.3%), foxtail millet(13.3%) and proso millet(13.3%) in greenhouse significantly. Accordingly, results on host plant preference of H. postica from this study can be used as a basic information for safe cultivation of upland crops at near or around green manure crop field.

• Korean Journal of Medicinal Crop Science
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• v.15 no.3
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• pp.157-161
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• 2007

To study the cause of the injury by continuous cropping and the countermeasure for reduction on it's injury in ginseng cultivation by the period passed since post-harvest, and previous soil management far planting, the injury by continuous cropping was investigated from 2004 to 2005 at the continuous cropping field of National Institute of crop Science in Jungpyong county, Korea. There was negative correlation between the ratio of survived root and the Period Passed since post-harvest. The ratio infected by Cylindrocapon destructans and Fusarium spp. in root was about 81${\sim}$95% at continuous cropping field that passed by 3${\sim}$4 years since post-harvest. Though the previous soil management for planting was somewhat effective to increase the ratio of survival root, but which was not effective to protect the infection of Cylindrocapon destructans and Fusarium spp. in root. There was no significant difference in reducing rotted root between management and nonmanagement. When previous soil management for planting was programed, it should be considered that Cylindrocapon destructans was detected at continuous cropping field that passed by above 10 years after harvesting.

• Korean Journal of Soil Science and Fertilizer
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• v.46 no.6
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• pp.575-578
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• 2013

Rice cultivation in the paddy field and the burning of crop residues have been identified as the important sources of methane emission in agricultural sector. This study aimed at assessment of the methane emission from croplands in the year of 2011 with the IPCC guideline methodology. Methane from rice cultivation was emitted 6,813 $CO_2$-eq Gg in 2011. According to the water management, methane emission amounts by continuously flooded and intermittently flooded were 1,499 and 5,314 $CO_2$-eq Gg, respectively. Methane emission by crop residues burning was highest in red pepper and followed by rice straw, pulses and barely in 2011. Methane emission by field burning was very little compared with rice cultivation.

• Proceedings of the Korean Society of Crop Science Conference
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• 2006.04a
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• pp.84-85
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• 2006

• Proceedings of the Korean Society of Crop Science Conference
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• 2007.11a
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• pp.208.1-208.1
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• 2007

• Proceedings of the Korean Society of Crop Science Conference
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• 2004.04a
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• pp.278-279
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• 2004

• KOREAN JOURNAL OF CROP SCIENCE
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• v.13
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• pp.41-67
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• 1973