Zobrazeno 1 - 10
of 518
pro vyhledávání: '"Hak-Jin Kim"'
Publikováno v:
Sensors, Vol 24, Iss 21, p 6920 (2024)
Estimating canopy volumes of strawberry plants can be useful for predicting yields and establishing advanced management plans. Therefore, this study evaluated the spatial variability of strawberry canopy volumes using a ResNet50V2-based convolutional
Externí odkaz:
https://doaj.org/article/bf34aed5097743d6990bfad3e99bfbcb
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
The maintenance of ion balance in closed hydroponic solutions is essential to improve the crop quality and recycling efficiency of nutrient solutions. However, the absence of robust ion sensors for key ions such as P and Mg and the coupling of ions i
Externí odkaz:
https://doaj.org/article/08eccff7175c4fe4849f18d4a2572a1b
Publikováno v:
Agronomy, Vol 14, Iss 5, p 1070 (2024)
The greenhouse environment plays a crucial role in providing favorable conditions for crop growth, significantly improving their quality and yield. Accurate prediction of greenhouse environmental factors is essential for their effective control. Alth
Externí odkaz:
https://doaj.org/article/dffc8b9304344a119436608afdedb5e2
Publikováno v:
Agriculture, Vol 14, Iss 2, p 174 (2024)
This study investigated the effects of harvest time, cellulase, lactic acid bacteria, and ensiling with alfalfa hay on the chemical parameters, bacterial community composition, and fermentation of corn stalk silage. Corn stalks were ensiled after the
Externí odkaz:
https://doaj.org/article/16bc3ef74b18405f87457a77b4a74d47
Publikováno v:
Head & Face Medicine, Vol 18, Iss 1, Pp 1-10 (2022)
Abstract Background The present study introduces a reduction malarplasty using a three-dimensional (3D)-printed surgical guide and evaluates the guide’s technical applicability. Methods Twenty malarplasties were performed for 12 subjects with zygom
Externí odkaz:
https://doaj.org/article/4fec5b7304cf448084597d4bd38af2b6
Autor:
Kangyoon Lee, Young-Min Lee, Je-Min Park, Byung-Dae Lee, Eunsoo Moon, Hee-Jeong Jeong, Hwagyu Suh, Hak-Jin Kim, Kyongjune Pak, Kyung-Un Choi
Publikováno v:
Psychiatry and Clinical Psychopharmacology, Vol 32, Iss 1, Pp 4-8 (2022)
Externí odkaz:
https://doaj.org/article/0b77793833b3424c989217548212e67e
Publikováno v:
Plants, Vol 12, Iss 8, p 1638 (2023)
The investigation of quantitative phenotypic traits resulting from the interaction between targeted genotypic traits and environmental factors is essential for breeding selection. Therefore, plot-wise controlled environmental factors must be invariab
Externí odkaz:
https://doaj.org/article/8200d6ab93c345c99d28f7c8e0ee5b55
Publikováno v:
Brazilian Journal of Otorhinolaryngology, Vol 86, Iss 6, Pp 820-823 (2020)
Externí odkaz:
https://doaj.org/article/0e4e83a094ee46ea810f6d36f5ad3767
Publikováno v:
Agronomy, Vol 13, Iss 2, p 428 (2023)
Ever since research attention was first paid to phenomics, it has mainly focused on the use of high throughput phenotyping for characterizing traits in an accurate and fast manner. It was recently realized that its use has huge potential in precision
Externí odkaz:
https://doaj.org/article/304b93f959484f938802c2ac22a4a665
Publikováno v:
Sensors, Vol 22, Iss 15, p 5499 (2022)
Growth indices can quantify crop productivity and establish optimal environmental, nutritional, and irrigation control strategies. A convolutional neural network (CNN)-based model is presented for estimating various growth indices (i.e., fresh weight
Externí odkaz:
https://doaj.org/article/c6ab03598ea04782bce8ad58ec078bd6