Remote sensing monitoring of rice and wheat canopy nitrogen: A review

J Zheng, X Song, G Yang, X Du, X Mei, X Yang - Remote Sensing, 2022 - mdpi.com
Nitrogen (N) is one of the most important elements for crop growth and yield formation.
Insufficient or excessive application of N fertilizers can limit crop yield and quality, especially …

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

MRB Júnior, BR de Almeida Moreira… - … and Electronics in …, 2024 - Elsevier
Precision agriculture has emerged as a dominant force in the United States, with
widespread adoption of advanced technologies and decision support systems (DSS) since …

Estimating soil moisture over winter wheat fields during growing season using machine-learning methods

L Chen, M Xing, B He, J Wang, J Shang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Soil moisture is vital for the crop growth and directly affects the crop yield. The conventional
synthetic aperture radar (SAR) based soil moisture monitoring is often influenced by …

UAV-and machine learning-based retrieval of wheat SPAD values at the overwintering stage for variety screening

J Wang, Q Zhou, J Shang, C Liu, T Zhuang, J Ding… - Remote sensing, 2021 - mdpi.com
In recent years, the delay in sowing has become a major obstacle to high wheat yield in
Jiangsu Province, one of the major wheat producing areas in China; hence, it is necessary …

Winter wheat chlorophyll content retrieval based on machine learning using in situ hyperspectral data

T Wang, M Gao, C Cao, J You, X Zhang… - Computers and Electronics …, 2022 - Elsevier
Chlorophyll is the basic component of plant leaves. It is closely related to the use of solar
radiation, the absorption of atmospheric carbon dioxide and the process of photosynthesis …

Performance comparison of RGB and multispectral vegetation indices based on machine learning for estimating Hopea hainanensis SPAD values under different …

Y Yuan, X Wang, M Shi, P Wang - Frontiers in Plant Science, 2022 - frontiersin.org
Reasonable cultivation is an important part of the protection work of endangered species.
The timely and nondestructive monitoring of chlorophyll can provide a basis for the accurate …

Integration of textural and spectral features of Raman hyperspectral imaging for quantitative determination of a single maize kernel mildew coupled with chemometrics

Y Long, W Huang, Q Wang, S Fan, X Tian - Food Chemistry, 2022 - Elsevier
Maize mildew is a common phenomenon and it is essential to detect the mildew of a single
maize kernel and prevent mildew from spreading around. In this study, a line-scanning …

Rice leaf chlorophyll content estimation using UAV-based spectral images in different regions

S Ban, W Liu, M Tian, Q Wang, T Yuan, Q Chang, L Li - Agronomy, 2022 - mdpi.com
Estimation of crop biophysical and biochemical characteristics is the key element for crop
growth monitoring with remote sensing. With the application of unmanned aerial vehicles …

Corn biomass estimation by integrating remote sensing and long-term observation data based on machine learning techniques

L Geng, T Che, M Ma, J Tan, H Wang - Remote Sensing, 2021 - mdpi.com
The accurate and timely estimation of regional crop biomass at different growth stages is of
great importance in guiding crop management decision making. The recent availability of …

Machine learning in photosynthesis: Prospects on sustainable crop development

R Varghese, AK Cherukuri, NH Doddrell, CGP Doss… - Plant Science, 2023 - Elsevier
Improving photosynthesis is a promising avenue to increase food security. Studying
photosynthetic traits with the aim to improve efficiency has been one of many strategies to …