Chunhwa Jang

Dr. Chunhwa Jang

University of Illinois at Champaign Urbana
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 July 2023 in Geoderma
Verified
Journal Article
Open access
EPEric Potash
Eric Potash
KGKaiyu Guan
Kaiyu Guan
AMAndrew J. Margenot
Andrew J. Margenot
DLDoKyoung Lee
DoKyoung Lee
ABArvid Boe
Arvid Boe
CZColleen Zumpf
Colleen Zumpf

2 April 2024 in PLOS ONE
Verified
Journal Article
Open access
PDF file
CJChunhwa Jang
Chunhwa Jang
NNNictor Namoi
Nictor Namoi
EWEric Wolske
Eric Wolske
Daniel Omondi WasongaDaniel Omondi Wasonga
Daniel Omondi Wasonga
GBGevan Behnke
Gevan Behnke
DLDoKyoung Lee
DoKyoung Lee
Sustainable crop production requires adequate and efficient management practices to reduce the negative environmental impacts of excessive nitrogen (N) fertilization. Remote sensing has gained traction as a low-cost and time-efficient tool for monitoring and managing cropping systems. In this study, vegetation indices (VIs) obtained from an unmanned aerial vehicle (UAV) were used to detect corn (Zea mays L.) response to varying N rates (ranging from 0 to 208 kg N ha-1) and fertilizer application methods (liquid urea ammonium nitrate (UAN), urea side-dressing and slow-release fertilizer). Four VIs were evaluated at three different growth stages of corn (V6, R3, and physiological maturity) along with morphological traits including plant height and leaf chlorophyll content (SPAD) to determine their predictive capability for corn yield. Our results show no differences in grain yield (average 13.2 Mg ha-1) between furrow-applied slow-release fertilizer at ≥156 kg N ha-1 and 208 kg N ha-1 side-dressed urea. Early season remote-sensed VIs and morphological data collected at V6 were least effective for grain yield prediction. Moreover, multivariate grain yield prediction was more accurate than univariate. Late-season measurements at the R3 and mature growth stages using a combination of normalized difference vegetation index (NDVI) and green normalized difference vegetation index (GNDVI) in a multilinear regression model showed effective prediction for corn yield. Additionally, a combination of NDVI and normalized difference red edge index (NDRE) in a multi-exponential regression model also demonstrated good prediction capabilities.

10 April 2024 in GCB Bioenergy
Verified
Journal Article
Open access
NNNictor Namoi
Nictor Namoi
CJChunhwa Jang
Chunhwa Jang
GBGevan D Behnke
Gevan D Behnke
JLJung Woo Lee
Jung Woo Lee
WYWendy H. Yang
Wendy H. Yang
DLDoKyoung Lee
DoKyoung Lee
For sustainable biomass production of Miscanthus × giganteus (hereafter miscanthus), understanding the impact of stand age and nitrogen (N) fertilization on biomass yield is crucial. This study investigated the effects of varying N fertilization rates (0, 56, 112, and 168 kg N ha−1) on yield components (tiller height, density, and weight) and their correlations with end‐of‐season biomass yield in miscanthus. We also explored end‐of‐season biomass yield prediction using in‐season traits (canopy height, leaf area index, and leaf chlorophyll content [LCC]). The study was conducted at two sites in Illinois: a previously unfertilized 10‐year‐old miscanthus research stand at Urbana and a 16‐year‐old commercial stand at Pesotum with a history of annual 56N application. Results from 2018 to 2021 in Urbana and 2020 to 2021 in Pesotum showed increased biomass yields with N fertilization, varying by rate, year, and location. Biomass yield in Pesotum peaked at 56N, while in Urbana, it increased significantly at 112 kg N ha−1. Biomass yield was strongly correlated with tiller height and weight measured at Urbana across N rates. Morphological traits measured every 2–3 weeks during the 2020 and 2021 growing seasons showed that canopy height was the strongest single predictor of miscanthus biomass yield, followed by LCC. Mid‐August to September measurements of these traits were the best predictors of biomass yield. Multiple regressions involving the canopy height and LCC further improved yield predictions. We conclude that while N enhances biomass yields of aging miscanthus, the optimum rate depends on the site, environmental conditions, and management history.

16 March 2022 in Remote Sensing
Verified
Journal Article
Open access
PDF file
NNNictor Namoi
Nictor Namoi
CJChunhwa Jang
Chunhwa Jang
ZRZachary Robins
Zachary Robins
CLCheng-Hsien Lin
Cheng-Hsien Lin
SLSoo-Hyun Lim
Soo-Hyun Lim
DLDoKyoung Lee
DoKyoung Lee
Miscanthus × giganteus (Miscanthus) is a warm-season perennial grass grown for bioenergy feedstock production. Nitrogen (N) fertilizer management is crucial for the sustainability of Miscanthus production. In our two-year study (2018 and 2019), we investigated the role of vegetation indices (VIs) in evaluating N fertilization (0 N, 56 N, 112 N, and 168 N kg ha−1) impacts on Miscanthus biomass yield and stand health. The flight campaigns were conducted early, middle, and late during the summer growing season. Among the VIs, mid-summer growing season NDRE provided the best prediction of fresh biomass (R2 = 0.87 and 0.97) and dry biomass (R2 = 0.89 and 0.97) in 2018 and 2019, respectively. The VIs generally showed that it was possible to distinguish between 0 N and 168 N treatments, but neither 0 N and 56 N kg ha−1 nor 112 N and 168 N kg ha−1 could be separated. The results from this study highlight the importance of moderate application of N (112 kg N ha−1) in improving and maintaining the stand health and biomass yield of Miscanthus over time and suggest that mid-summer growing season VIs, NDRE in particular, can be useful for assessment of Miscanthus stand health and biomass yield.

16 December 2015 in Paddy and Water Environment
Verified
Journal Article
Closed access
PDF file
HKHyunwoo Kang
Hyunwoo Kang
JMJong Pil Moon
Jong Pil Moon
YSYongchul Shin
Yongchul Shin
JRJichul Ryu
Jichul Ryu
DKDong Hyuk Kum
Dong Hyuk Kum
Kyoung Jae LimKyoung Jae Lim
Kyoung Jae Lim

31 January 2012 in Journal of The Korean Society of Agricultural Engineers
Verified
Journal Article
Open access
JLJi-Min Lee
Ji-Min Lee
JRJichul Ryu
Jichul Ryu
HKHyun-Woo Kang
Hyun-Woo Kang
HKHyeong-Sik Kang
Hyeong-Sik Kang
DKDong-Hyuk Kum
Dong-Hyuk Kum
Kyoung Jae LimKyoung Jae Lim
Kyoung Jae Lim