Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mun Haeng Lee"'
Data-centric annotation analysis for plant disease detection: Strategy, consistency, and performance
Autor:
Jiuqing Dong, Jaehwan Lee, Alvaro Fuentes, Mingle Xu, Sook Yoon, Mun Haeng Lee, Dong Sun Park
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Object detection models have become the current tool of choice for plant disease detection in precision agriculture. Most existing research improved the performance by ameliorating networks and optimizing the loss function. However, because of the va
Externí odkaz:
https://doaj.org/article/919bff7eea2b426182efbec70db78534
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Recognizing plant diseases is a major challenge in agriculture, and recent works based on deep learning have shown high efficiency in addressing problems directly related to this area. Nonetheless, weak performance has been observed when a model trai
Externí odkaz:
https://doaj.org/article/0dacd2b3c5404735af6d93b5a95ef3d5
Publikováno v:
Agriculture, Vol 10, Iss 8, p 343 (2020)
This study aimed to determine the optimal indole-3-acetic acid (IAA) concentration in a nutrient solution to increase the bioactive compounds while enhancing the plant growth of A. rugosa grown hydroponically. Twenty-eight-day-old plants were transpl
Externí odkaz:
https://doaj.org/article/4a57f971cf9a4ac5b148c73e6ea6f9ec
Autor:
Mun Haeng Lee, Hee Keyung Lee, Pyeng Hwa Cho, Sung Eun Kim, Suk Keyung Cho, Young Shik Kim, Hee Chun, Hong Gi Kim, Sang Woo Kim, Youn Su Lee
Publikováno v:
Research in Plant Disease, Vol 21, Iss 2, Pp 94-98 (2015)
Tomato black leaf molds were collected from the six metropolitan cities, which were occurred mainly from the end of August until November. There was no significant difference on the fungal growth between potato dextrose agar and tomato-oatmeal agar m
Externí odkaz:
https://doaj.org/article/189780640a21471fa5fe2d1565e210e0
Autor:
Jae Kyung Kim, Ki Young Choi, Ki Jung Nam, Ho-Min Kang, Mun Haeng Lee, Jong Kuk Na, Dong Cheol Jang
Publikováno v:
Journal of Bio-Environment Control. 30:1-9
Publikováno v:
Journal of the Korean Society of International Agricultue. 32:390-395
Autor:
Mun Haeng Lee
Tomato leaves were inoculated with 1×104conidia·mL−1 and placed in a dew chamber for 0 to 18hrs at 10 to 25°C. Eighteen days after inoculation, leaf mold incidence appeared in 9hr treatment of leaf wet duration and the proper temperature was 15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935f142295659a878f7a1ae559dd95fd
https://doi.org/10.1101/2020.09.16.299503
https://doi.org/10.1101/2020.09.16.299503
Autor:
Kyoung Je Kim, Soo Jin Sa, Mun Haeng Lee, Hee Kyoung Lee, Seon Yeong Im, Sung Eok Kim, Nak Beom Jeon, Myung Soo Park, Dong-Jin Lee, Hong-Kyu Kim
Publikováno v:
Journal of the Korean Society of International Agricultue. 30:193-196
Autor:
Sang Youn Sim, Jae Eun Lee, Suk Keong Cho, Mun Haeng Lee, Sang Don Lee, Young Shik Kim, Sung Eun Kim, Hak Sun Kim
Publikováno v:
Protected horticulture and Plant Factory. 25:49-56
Publikováno v:
Agriculture
Volume 10
Issue 8
Agriculture, Vol 10, Iss 343, p 343 (2020)
Volume 10
Issue 8
Agriculture, Vol 10, Iss 343, p 343 (2020)
This study aimed to determine the optimal indole-3-acetic acid (IAA) concentration in a nutrient solution to increase the bioactive compounds while enhancing the plant growth of A. rugosa grown hydroponically. Twenty-eight-day-old plants were transpl