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Unmanned aerial vehicles (UAVs) with thermal infrared (TIR) sensors are effective for monitoring and counting threatened Vietnamese primates
Monitoring the population size of threatened primate species with minimal disturbance is becoming an outstanding requirement for conservation and...
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Evaluating the use of thermal imagery to count harbor seals in aerial surveys
Aerial surveys of pinnipeds are often used to estimate abundance, a critical component of stock assessments and management decisions. In Alaska, USA,...
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Concept and Application of Infrared Thermography for Plant Disease Measurement
Fungal diseases cause significant losses in crop production, yields, and quality worldwide. Early and precise diagnosis and measurement of plant...
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UAV Applications in Agriculture
Unmanned Aerial Vehicle (UAV) technology was initially developed for agricultural crop dusting in the 1980s in Japan. Since then, UAVs have been...
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Characterizing post-fire delayed tree mortality with remote sensing: sizing up the elephant in the room
BackgroundDespite recent advances in understanding the drivers of tree-level delayed mortality, we lack a method for map** delayed mortality at...
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A spatio-temporal multi-scale fusion algorithm for pine wood nematode disease tree detection
Pine wood nematode infection is a devastating disease. Unmanned aerial vehicle (UAV) remote sensing enables timely and precise monitoring. However,...
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Drone-Based Intelligent Spraying of Pesticides: Current Challenges and Its Future Prospects
With the advancement in drone technology over the past few years, drones have become an essential component of modern agriculture. Beginning with the...
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Phenoty** for Assessing Genotypic Variation in Phosphorus Use Efficiency
Phosphorus is a key element for improving yield and quality of crop plants. Since phosphorus is poorly available in the soil rhizosphere, phosphorus...
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High-Throughput Phenomics of Crops for Water and Nitrogen Stress
While both water and nitrogen (N) are necessary for crop output and quality, excessive N application increases production costs and environmental...
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Crop Phenomics and High-Throughput Phenoty**
Abiotic stresses, like drought, salinity, and high temperature pose significant challenges to global agriculture, jeopardizing crop yields and food...
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Sensing Systems for Precision Agriculture
Precision agriculture (PA) is becoming a staple part of the current primary sector. PA systems are comprised of different elements that allow...
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Digital Insights into Plant Health: Exploring Vegetation Indices Through Computer Vision
The earth’s vegetation plays a pivotal role in the ecosystem equilibrium and serves as an environmental health indicator. Monitoring vegetation is...
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Applications of UAVs and Machine Learning in Agriculture
Farmers across the world are looking for more efficient ways to collect data about various plant physiological factors. This data collection is...
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Unmanned Aircraft System Photogrammetry for Map** Diverse Vegetation Species in a Heterogeneous Coastal Wetland
Acquiring detailed information on wetland plant species is critical for monitoring wetland ecosystem restoration and management. The emerging...
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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
BackgroundKarst vegetation is of great significance for ecological restoration in karst areas. Vegetation Indices (VIs) are mainly related to plant...
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Digital plant pathology: a foundation and guide to modern agriculture
Over the last 20 years, researchers in the field of digital plant pathology have chased the goal to implement sensors, machine learning and new...
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