Plant diseases and pests endanger agriculture and forestry significantly around the world.
The implementation of non-contact, highly-efficient, and affordable methods for detecting …

The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …

Wood-boring pests (WBPs) pose an enormous threat to global forest ecosystems because
their early stage infestations show no visible symptoms and can result in rapid and …

Pine wilt disease (PWD) is a global destructive threat to forests, having caused extreme
damage in China. Therefore, the establishment of an effective method to accurately monitor …

Compared with the traditional visual detection method, hyperspectral imaging enables
efficient and non-destructive plant monitoring. Besides, it has great potential in plant …

Rice blast is considered as the most destructive disease that threatens global rice
production and causes severe economic losses worldwide. A detection of rice blast infection …

The European spruce bark beetle Ips typographus, L.(hereafter bark beetle), causes major
economic loss to the forest industry in Europe, especially in Norway Spruce (Picea abies) …

The gravimetric water content (GWC,%), a commonly used measure of leaf water content,
describes the ratio of water to dry matter for each individual leaf. To date, the relationship …

Outbreaks of insect pests periodically cause large losses of volume in Canada's forests.
Compounded with climate change, outbreaks create significant challenges for managing the …

Rapid monitoring of soil organic carbon (SOC) with fine sampling resolution is vital for
further understanding of the global carbon cycle and sustainable management of soil …