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Thermal infrared remote sensing of stress responses in forest environments: a review of developments, challenges, and opportunities
Abstract Purpose of Review The successful application of thermal infrared (TIR) remote
sensing in the agricultural domain, largely driven by the arrival of new platforms and sensors …
sensing in the agricultural domain, largely driven by the arrival of new platforms and sensors …
Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence
In an era marked by rapid global changes, the reinforcement and modernization of plant
health surveillance systems have become imperative. Sixty-five scientists present here a …
health surveillance systems have become imperative. Sixty-five scientists present here a …
Divergent abiotic spectral pathways unravel pathogen stress signals across species
Plant pathogens pose increasing threats to global food security, causing yield losses that
exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major …
exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major …
Estimating the canopy chlorophyll content of winter wheat under nitrogen deficiency and powdery mildew stress using machine learning
Z Feng, H Guan, T Yang, L He, J Duan, L Song… - … and Electronics in …, 2023 - Elsevier
As an important indicator of the photosynthetic capacity of crops, the canopy chlorophyll
content (CCC) is nondestructively estimated by reflectance using various spectrometers …
content (CCC) is nondestructively estimated by reflectance using various spectrometers …
A disease-specific spectral index tracks Magnaporthe oryzae infection in paddy rice from ground to space
Rice blast (RB, caused by the fungus Magnaporthe oryzae) is the most devastating disease
in global rice production, and can cause significant yield losses and increasingly threaten …
in global rice production, and can cause significant yield losses and increasingly threaten …
Method for early diagnosis of verticillium wilt in cotton based on chlorophyll fluorescence and hyperspectral technology
Early and accurate detection of verticillium wilt (VW), the most common and devastating
disease of cotton, is essential to prevent the spread of VW. However, it remains challenging …
disease of cotton, is essential to prevent the spread of VW. However, it remains challenging …
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network
I Bhakta, S Phadikar, K Majumder, H Mukherjee… - Precision …, 2023 - Springer
With the advancement of deep learning and thermal imaging technology, prediction of plant
disease before the appearance of any visual symptoms gains attention. Studies showed that …
disease before the appearance of any visual symptoms gains attention. Studies showed that …
Hyperspectral remote sensing for phenoty** the physiological drought response of common and tepary bean
Proximal remote sensing offers a powerful tool for high-throughput phenoty** of plants for
assessing stress response. Bean plants, an important legume for human consumption, are …
assessing stress response. Bean plants, an important legume for human consumption, are …
Prescribed burning mitigates the severity of subsequent wildfires in Mediterranean shrublands
Background Prescribed burning (PB) is becoming relevant in fuel reduction and thus fire
hazard abatement in fire-prone ecosystems of southern Europe. Yet, empirical evidence on …
hazard abatement in fire-prone ecosystems of southern Europe. Yet, empirical evidence on …
Early prediction of regional red needle cast outbreaks using climatic data trends and satellite-derived observations
Red needle cast (RNC), mainly caused by Phytophthora pluvialis, is a very damaging
disease of the widely grown species radiata pine within New Zealand. Using a combination …
disease of the widely grown species radiata pine within New Zealand. Using a combination …