Leveraging Google Earth Engine platform to characterize and map small seasonal wetlands in the semi-arid environments of South Africa

S Gxokwe, T Dube, D Mazvimavi - Science of the Total Environment, 2022 - Elsevier
Although significant scientific research strides have been made in mapping the spatial
extents and ecohydrological dynamics of wetlands in semi-arid environments, the focus on …

[PDF][PDF] Sensor technologies for remote monitoring of automated orchard irrigation: A review

E Bicamumakuba, E Habineza, KH Lee, SO Chung - Precis. Agric, 2024 - researchgate.net
Sensor technology used in irrigation systems plays a significant role in monitoring water
usage to improve crop production. Remote monitoring for automated orchard irrigation …

The role of water relations and oxidative stress in the vase life response to prolonged storage: A case study in chrysanthemum

D Fanourakis, VM Papadakis, E Psyllakis… - Agriculture, 2022 - mdpi.com
Long storage periods have been associated with decreased vase life. In this study, the
processes underlying the vase life response to prolonged storage were investigated, along …

An approach using emerging optical technologies and artificial intelligence brings new markers to evaluate peanut seed quality

GR Fonseca de Oliveira, CB Mastrangelo… - Frontiers in plant …, 2022 - frontiersin.org
Seeds of high physiological quality are defined by their superior germination capacity and
uniform seedling establishment. Here, it was investigated whether multispectral images …

Assessing the Water Status and Leaf Pigment Content of Olive Trees: Evaluating the Potential and Feasibility of Unmanned Aerial Vehicle Multispectral and Thermal …

P Marques, L Pádua, JJ Sousa, A Fernandes-Silva - Remote Sensing, 2023 - mdpi.com
Global warming presents a significant threat to the sustainability of agricultural systems,
demanding increased irrigation to mitigate the impacts of prolonged dry seasons. Efficient …

Estimation of water stress in potato plants using hyperspectral imagery and machine learning algorithms

JM Duarte-Carvajalino, EA Silva-Arero… - Horticulturae, 2021 - mdpi.com
This work presents quantitative detection of water stress and estimation of the water stress
level: none, light, moderate, and severe on potato crops. We use hyperspectral imagery and …

[HTML][HTML] Progress and prospects of bermudagrass research in the last decade

J Fan, Y Xiang, B Zhang, M Noor, J Zhang… - Grass Research, 2024 - maxapress.com
Bermudagrass is a widely distributed grass worldwide. The well-developed stolons and
rhizomes, good palatability, and strong tolerance against diverse environmental stresses …

[HTML][HTML] Estimation of wheat kernel moisture content based on hyperspectral reflectance and satellite multispectral imagery

Z Wu, J Luo, K Rao, H Lin, X Song - International Journal of Applied Earth …, 2024 - Elsevier
The wheat kernel moisture content (KMC) plays a pivotal role in determining the quality,
storage viability, and economic profitability of wheat. Monitoring wheat KMC in-field before …

[HTML][HTML] UAV and field hyperspectral imaging for Sphagnum discrimination and vegetation modelling in Finnish aapa mires

F Wolff, S Lorenz, P Korpelainen, A Eltner… - International Journal of …, 2024 - Elsevier
Detailed knowledge of vegetation patterns allows to evaluate mire ecosystems and their
dynamics. The use of hyperspectral information has the benefits of exploring spectral …

Selection of hyperspectral vegetation indices for monitoring yield and physiological response in sweet maize under different water and nitrogen availability

MH Sellami, R Albrizio, M Čolović, M Hamze… - Agronomy, 2022 - mdpi.com
This study used hyperspectral reflectance data to evaluate the crop physiological
parameters of sweet maize. Principal component analysis (PCA) was applied to identify the …