Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Leaf area index (LAI) is a key parameter of vegetation structure in the fields of agriculture,
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …

Smart cities are increasingly part of urban sustainability discourses. There is a growing
interest in understanding how citizen engagement, connected technology, and data …

Traditionally farmers have used their perceptual sensorial systems to diagnose and monitor
their crops health and needs. However, humans possess five basic perceptual systems with …

Smartphones have become a useful tool in agriculture because their mobility matches the
nature of farming, the cost of the device is highly accessible, and their computing power …

This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …

Progress in remote sensing and robotic technologies decreases the hardware costs of
phenotyping. Here, we first review cost-effective imaging devices and environmental …

Forest ecosystem resilience is of considerable interest worldwide, particularly given the
climate crisis, biodiversity loss, and recent instances of zoonotic diseases linked to …

Yield gap analysis is gaining increased scientific attention, as estimating and explaining
yield gaps shows the potential for sustainable intensification of agricultural systems …

Leaf area index (LAI) and plant area index (PAI) are common and important biophysical
parameters used to estimate agronomical variables such as canopy growth, light …