[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry

JM Jurado, A López, L Pádua, JJ Sousa - International journal of applied …, 2022 - Elsevier
Abstract Three-dimensional (3D) image mapping of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …

[HTML][HTML] 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 …

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding

AW Herr, A Adak, ME Carroll, D Elango, S Kar… - Crop …, 2023 - Wiley Online Library
High‐throughput phenotyping (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

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 …

[HTML][HTML] Canopy laser interception compensation mechanism—UAV LiDAR precise monitoring method for cotton height

W Xu, W Yang, J Wu, P Chen, Y Lan, L Zhang - Agronomy, 2023 - mdpi.com
Plant height is a crucial phenotypic trait that plays a vital role in predicting cotton growth and
yield, as well as in estimating biomass in cotton plants. The accurate estimation of canopy …

[HTML][HTML] Machine learning assisted remote forestry health assessment: a comprehensive state of the art review

JS Estrada, A Fuentes, P Reszka… - Frontiers in plant …, 2023 - frontiersin.org
Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …

Advancements in variable rate spraying for precise spray requirements in precision agriculture using Unmanned aerial spraying Systems: A review

A Taseer, X Han - Computers and Electronics in Agriculture, 2024 - Elsevier
Pesticides suppress pest populations and maintain agricultural yield; however, their overuse
causes ecological damage. To mitigate the ecological damage caused by the overuse of …

A new alternative for assessing ridging information of potato plants based on an improved benchmark structure from motion

H Yang, Y Hu, Y Lan, P Zhang, Y He, Z Zhou… - … and Electronics in …, 2023 - Elsevier
Ridging based on crop height is essential for promoting potato plant growth and increasing
potato yield. However, existing crop height estimation methods are greatly affected by the …

[HTML][HTML] Deep learning approach for detection of underground natural gas micro-leakage using infrared thermal images

K Xiong, J Jiang, Y Pan, Y Yang, X Chen, Z Yu - Sensors, 2022 - mdpi.com
The leakage of underground natural gas has a negative impact on the environment and
safety. Trace amounts of gas leak concentration cannot reach the threshold for direct …

[HTML][HTML] A Case Study of Vignetting Nonuniformity in UAV-Based Uncooled Thermal Cameras

W Yuan, W Hua - Drones, 2022 - mdpi.com
Uncooled thermal cameras have been employed as common UAV payloads for aerial
temperature surveillance in recent years. Due to the lack of internal cooling systems, such …