Uncrewed aerial systems in water resource management and monitoring: a review of sensors, applications, software, and issues
Uncrewed aerial systems (UASs) are becoming very popular in the domain of water
resource mapping and management (WRMM). Being a cheaper and quicker option capable …
resource mapping and management (WRMM). Being a cheaper and quicker option capable …
Remotely piloted aircraft (RPA) in agriculture: A pursuit of sustainability
The current COVID-19 global pandemic has amplified the pressure on the agriculture sector,
inciting the need for sustainable agriculture more than ever. Thus, in this review, a …
inciting the need for sustainable agriculture more than ever. Thus, in this review, a …
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat
S Fei, MA Hassan, Y Xiao, X Su, Z Chen, Q Cheng… - Precision …, 2023 - Springer
Early prediction of grain yield helps scientists to make better breeding decisions for wheat.
Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based …
Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based …
Updated soil salinity with fine spatial resolution and high accuracy: The synergy of Sentinel-2 MSI, environmental covariates and hybrid machine learning approaches
Soil salinization is the main source of global soil degradation. It has impeded progress
towards sustainable development goals (SDGs) by threatening 20% of irrigated areas …
towards sustainable development goals (SDGs) by threatening 20% of irrigated areas …
Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery
Airborne hyperspectral remote sensing has the characteristics of high spatial and spectral
resolutions, and provides an opportunity for accurate and efficient inland water qauality …
resolutions, and provides an opportunity for accurate and efficient inland water qauality …
The effect of drought on vegetation gross primary productivity under different vegetation types across China from 2001 to 2020
Highlights Two drought indices (SPEI and VPD) were used to characterize the degree of
dryness/wetness. The water deficit represented by two drought indices was mostly …
dryness/wetness. The water deficit represented by two drought indices was mostly …
[HTML][HTML] Exploring the capability of Gaofen-5 hyperspectral data for assessing soil salinity risks
X Ge, J Ding, D Teng, B Xie, X Zhang, J Wang… - International Journal of …, 2022 - Elsevier
Soil salinization has hampered the achievement of sustainable development goals (SDGs)
in many countries worldwide. Several countries have recently launched hyperspectral …
in many countries worldwide. Several countries have recently launched hyperspectral …
Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …
UAV-based hyperspectral and ensemble machine learning for predicting yield in winter wheat
Z Li, Z Chen, Q Cheng, F Duan, R Sui, X Huang, H Xu - Agronomy, 2022 - mdpi.com
Winter wheat is a widely-grown cereal crop worldwide. Using growth-stage information to
estimate winter wheat yields in a timely manner is essential for accurate crop management …
estimate winter wheat yields in a timely manner is essential for accurate crop management …
Comparison of bagging, boosting and stacking algorithms for surface soil moisture mapping using optical-thermal-microwave remote sensing synergies
Soil moisture information is key to irrigation water management, drought monitoring, and
yield prediction. It plays a vital role in the water cycle and energy budget between the earth's …
yield prediction. It plays a vital role in the water cycle and energy budget between the earth's …