Skip To Main Content
Seong Gu Heo on Muck Rack

Seong Gu Heo

As seen in: Nature, Wiley, MDPI
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Seong Gu

Contact Seong Gu, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Classification of Vase Life Day Based on Petal Colorimetric Data in Cut Lisianthus Using AutoML

|
By Hye Sook Kwon, Seong Gu Heo, Hye Sook
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?

Predicting Vase Life of Cut Lisianthus Based on Biomass-Related Characteristics Using AutoML

|
By Seong Gu Heo, Hye Sook, Hye Sook Kwon
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?

An agricultural digital twin for mandarins demonstrates the potential for individualized agriculture - Nature Communications

|
By Steven Kim, Seong Gu Heo
| Nature Verified
Abstract A digital twin is a digital representation that closely resembles or replicates a real world object by combining interdisciplinary knowledge and advanced technologies. Digital twins have been applied to various fields, including to the agricultural field. Given big data and systematic data management, digital twins can be used for predicting future outcomes. In this study, we endeavor to create an agricultural digital twin using mandarins as a model crop.
Open in Who Shared Issue with article?
See all 7 articles