Digital mapping of soil organic carbon density using newly developed bare soil spectral indices and deep neural network DOI Creative Commons
Qian Liu, He Li,

Long Guo

et al.

CATENA, Journal Year: 2022, Volume and Issue: 219, P. 106603 - 106603

Published: Sept. 7, 2022

Language: Английский

Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images DOI

Shengzhao Pei,

Yulong Dai, Zhentao Bai

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 224, P. 109176 - 109176

Published: June 22, 2024

Language: Английский

Citations

11
A novel hybrid WOA-XGB model for estimating daily reference evapotranspiration using local and external meteorological data: Applications in arid and humid regions of China DOI
Shicheng Yan, Lifeng Wu, Junliang Fan

et al.

Agricultural Water Management, Journal Year: 2020, Volume and Issue: 244, P. 106594 - 106594

Published: Oct. 26, 2020

Language: Английский

Citations

64
Deep Learning Sensor Fusion in Plant Water Stress Assessment: A Comprehensive Review DOI Creative Commons

Mohd Hider Kamarudin,

Zool Hilmi Ismail, Noor Baity Saidi

et al.

Applied Sciences, Journal Year: 2021, Volume and Issue: 11(4), P. 1403 - 1403

Published: Feb. 4, 2021

Water stress is one of the major challenges to food security, causing a significant economic loss for nation as well growers. Accurate assessment water will enhance agricultural productivity through optimization plant usage, maximizing breeding strategies, and preventing forest wildfire better ecosystem management. Recent advancements in sensor technologies have enabled high-throughput, non-contact, cost-efficient intelligence system modeling. The advanced deep learning fusion technique has been reported improve performance machine application processing collected sensory data. This paper extensively reviews state-of-the-art methods that utilized approach their application, together with future prospects domain. Notably, 37 solutions fell under six main areas, namely soil moisture estimation, modelling, evapotranspiration forecasting, status estimation identification. Basically, there are eight compiled 3D-dimensional data varieties challenge, including unbalanced occurred due isohydric plants, effect variations occur within same species but cultivated from different locations.

Language: Английский

Citations

43
Simulation of daily maize evapotranspiration at different growth stages using four machine learning models in semi-humid regions of northwest China DOI

Zongjun Wu,

Ningbo Cui, Daozhi Gong

et al.

Journal of Hydrology, Journal Year: 2022, Volume and Issue: 617, P. 128947 - 128947

Published: Dec. 14, 2022

Language: Английский

Citations

35
Digital mapping of soil organic carbon density using newly developed bare soil spectral indices and deep neural network DOI Creative Commons
Qian Liu, He Li,

Long Guo

et al.

CATENA, Journal Year: 2022, Volume and Issue: 219, P. 106603 - 106603

Published: Sept. 7, 2022

Language: Английский

Citations

34