Thermal infrared remote sensing of stress responses in forest environments: a review of developments, challenges, and opportunities

M Smigaj, A Agarwal, H Bartholomeus… - Current Forestry …, 2024 - Springer
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 …

Building integrated plant health surveillance: a proactive research agenda for anticipating and mitigating disease and pest emergence

S Soubeyrand, A Estoup, A Cruaud… - CABI Agriculture and …, 2024 - Springer
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 …

Divergent abiotic spectral pathways unravel pathogen stress signals across species

PJ Zarco-Tejada, T Poblete, C Camino… - Nature …, 2021 - nature.com
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 …

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 …

A disease-specific spectral index tracks Magnaporthe oryzae infection in paddy rice from ground to space

L Tian, Z Wang, B Xue, D Li, H Zheng, X Yao… - Remote sensing of …, 2023 - Elsevier
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 …

Method for early diagnosis of verticillium wilt in cotton based on chlorophyll fluorescence and hyperspectral technology

M Yang, X Kang, X Qiu, L Ma, H Ren, C Huang… - … and Electronics in …, 2024 - Elsevier
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 …

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 …

Hyperspectral remote sensing for phenoty** the physiological drought response of common and tepary bean

CYS Wong, ME Gilbert, MA Pierce, TA Parker… - Plant …, 2023 - spj.science.org
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 …

Prescribed burning mitigates the severity of subsequent wildfires in Mediterranean shrublands

JM Fernández-Guisuraga, PM Fernandes - Fire Ecology, 2024 - Springer
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 …

Early prediction of regional red needle cast outbreaks using climatic data trends and satellite-derived observations

MS Watt, A Holdaway, P Watt, GD Pearse, ME Palmer… - Remote Sensing, 2024 - mdpi.com
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 …