A comprehensive review of high throughput phenotyping and machine learning for plant stress phenotyping

T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

Remote sensing vegetation indices in viticulture: A critical review

R Giovos, D Tassopoulos, D Kalivas, N Lougkos… - Agriculture, 2021 - mdpi.com
One factor of precision agriculture is remote sensing, through which we can monitor
vegetation health and condition. Much research has been conducted in the field of remote …

U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding

Z Li, I Demir - Science of The Total Environment, 2023 - Elsevier
Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …

[HTML][HTML] 10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product

KH Tran, HK Zhang, JT McMaine, X Zhang… - International Journal of …, 2022 - Elsevier
The 30 m resolution US Department of Agriculture (USDA) crop data layer (CDL) is a widely
used crop type map for agricultural management and assessment, environmental impact …

Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming

LO Tedeschi, PL Greenwood… - Journal of Animal …, 2021 - academic.oup.com
Remote monitoring, modern data collection through sensors, rapid data transfer, and vast
data storage through the Internet of Things (IoT) have advanced precision livestock farming …

Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation

M Waleed, M Mubeen, A Ahmad… - Scientific Reports, 2022 - nature.com
Timely and accurate estimation of rice-growing areas and forecasting of production can
provide crucial information for governments, planners, and decision-makers in formulating …

Multi-modal temporal attention models for crop mapping from satellite time series

VSF Garnot, L Landrieu, N Chehata - ISPRS Journal of Photogrammetry …, 2022 - Elsevier
Optical and radar satellite time series are synergetic: optical images contain rich spectral
information, while C-band radar captures useful geometrical information and is immune to …

Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: a scoping review and bibliometric analysis

S Gokool, M Mahomed, R Kunz, A Clulow, M Sibanda… - Sustainability, 2023 - mdpi.com
In this study, we conducted a scoping review and bibliometric analysis to evaluate the state-
of-the-art regarding actual applications of unmanned aerial vehicle (UAV) technologies to …

The role of remote sensing data and methods in a modern approach to fertilization in precision agriculture

D Radočaj, M Jurišić, M Gašparović - Remote Sensing, 2022 - mdpi.com
The precision fertilization system is the basis for upgrading conventional intensive
agricultural production, while achieving both high and quality yields and minimizing the …

Global navigation satellite systems as state-of-the-art solutions in precision agriculture: A review of studies indexed in the web of science

D Radočaj, I Plaščak, M Jurišić - Agriculture, 2023 - mdpi.com
Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a
cornerstone for field mapping, machinery guidance, and variable rate technology. However …