Exploring unmanned aerial systems operations in wildfire management: data types, processing algorithms and navigation

P Keerthinathan, N Amarasingam… - … Journal of Remote …, 2023 - Taylor & Francis
Wildfire, also known as forest fire, is a common natural or man-made disaster that has
caused devastation to both man-made structures and natural ecosystems throughout the …

UAV and machine learning based refinement of a satellite-driven vegetation index for precision agriculture

V Mazzia, L Comba, A Khaliq, M Chiaberge, P Gay - Sensors, 2020 - mdpi.com
Precision agriculture is considered to be a fundamental approach in pursuing a low-input,
high-efficiency, and sustainable kind of agriculture when performing site-specific …

Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies

E Chakhvashvili, M Machwitz, M Antala… - Precision …, 2024 - Springer
Introduction Detecting and monitoring crop stress is crucial for ensuring sufficient and
sustainable crop production. Recent advancements in unoccupied aerial vehicle (UAV) …

Monitoring forage mass with low-cost UAV data: case study at the Rengen grassland experiment

U Lussem, J Schellberg, G Bareth - PFG–Journal of Photogrammetry …, 2020 - Springer
Monitoring and predicting above ground biomass yield of grasslands are of key importance
for grassland management. Established manual methods such as clipping or rising plate …

Investigating the potential of a newly developed uav-mounted vnir/swir imaging system for monitoring crop traits—a case study for winter wheat

A Jenal, H Hüging, HE Ahrends, A Bolten, J Bongartz… - Remote Sensing, 2021 - mdpi.com
UAV-based multispectral multi-camera systems are widely used in scientific research for non-
destructive crop traits estimation to optimize agricultural management decisions. These …

[HTML][HTML] Spatial water table level modelling with multi-sensor unmanned aerial vehicle data in boreal aapa mires

A Isoaho, L Ikkala, H Marttila, J Hjort, T Kumpula… - Remote Sensing …, 2023 - Elsevier
Peatlands have been degrading globally, which is increasing pressure on restoration
measures and monitoring. New monitoring methods are needed because traditional …

Estimation of photosynthetic growth signature at the canopy scale using new genetic algorithm-modified visible band triangular greenness index

RS Concepcion, SC Lauguico… - 2020 International …, 2020 - ieeexplore.ieee.org
Greenness index has been proven sensitive to vegetation properties for multispectral and
hyperspectral imaging. However, most controlled microclimatic cultivation chambers are …

Investigating the potential of a newly developed UAV-based VNIR/SWIR imaging system for forage mass monitoring

A Jenal, U Lussem, A Bolten, ML Gnyp… - PFG–Journal of …, 2020 - Springer
Remote sensing systems based on unmanned aerial vehicles (UAVs) are well suited for
airborne monitoring of small to medium-sized farmland in agricultural applications. An …

[HTML][HTML] Development of low-cost multifunctional robotic apparatus for high-throughput plant phenotyping

J Mach, L Krauz, P Páta, M Halecký - Smart Agricultural Technology, 2024 - Elsevier
The assessment of plant health and quality is a critical aspect of plant biology, agriculture,
and the food industry. With the global population continuously increasing, the demand for …

A rapid and nondestructive approach for the classification of different-age citri reticulatae pericarpium using portable near infrared spectroscopy

P Li, X Zhang, S Li, G Du, L Jiang, X Liu, S Ding… - Sensors, 2020 - mdpi.com
Citri Reticulatae Pericarpium (CRP), has been used in China for hundreds of years as a
functional food and medicine. However, some short-age CRPs are disguised as long-age …