Improving maize LAI estimation by integrating multispectral imagery and digital surface models with ensemble learning. [PDF]
Li W +7 more
europepmc +1 more source
Effects of planting density and row spacing configuration on dry matter accumulation and distribution, nutrient content, and yield in cotton. [PDF]
Bai Z +6 more
europepmc +1 more source
Enhanced chickpea (<i>Cicer arietinum</i> L.) growth and yield attributes via agronomic modulation using nano-emulsion biofertilizer for sustainable crop productivity improvement. [PDF]
Sri Abisankar M +8 more
europepmc +1 more source
Comparative evaluation of vegetation indices for water and heat stress detection and monitoring across land cover types. [PDF]
Zsigmond T, Kizhisseri M, Horel Á.
europepmc +1 more source
Water and nitrogen application enhance eggplant productivity and nitrogen use efficiency in an arid environment. [PDF]
Zhou C, Zhang H, Chen X, Li F, Zhao Y.
europepmc +1 more source
Monitoring plant moisture content and optimizing irrigation prescriptions based on UAV multimodal data. [PDF]
Fu W +6 more
europepmc +1 more source
A review on the leaf area index (LAI) in vertical greening systems
Abstract: The leaf area index (LAI) is a key dynamic parameter in Vertical Greening Systems (VGS). It quantifies the total amount of leaf area in the canopy and largely determines the extent of co-benefits of VGS. Whereas many studies on VGS discuss the importance of the LAI, only few elaborate on the parameter itself, how it is determined and what the
Anouk De Bock
exaly +4 more sources
An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications [PDF]
AbstractLeaf 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 Observation has enabled the development of global LAI products and boosted global Earth system modeling studies. This overview provides a comprehensive analysis of LAI field
Gabriela Schaepman-Strub +2 more
exaly +5 more sources
UAV Based Estimation of Forest Leaf Area Index (LAI) through Oblique Photogrammetry [PDF]
As a key canopy structure parameter, the estimation method of the Leaf Area Index (LAI) has always attracted attention. To explore a potential method to estimate forest LAI from 3D point cloud at low cost, we took photos from different angles of the drone and set five schemes (O (0°), T15 (15°), T30 (30°), OT15 (0° and 15°) and OT30 (0° and 30 ...
Zhenbang Hao, Xiong Yao
exaly +4 more sources

