Early Infestations By Arthropod Pests Induce Unique Changes In Plant Compositional Traits And Leaf Reflectance.
Sign Up to like & getrecommendations! Published in 2021 at "Pest management science"
DOI: 10.1002/ps.6556
Abstract: BACKGROUND With steadily growing interest in use of remote sensing technologies to detect and diagnose pest infestations in crops, it is important to investigate and characterize possible associations between crop leaf reflectance and unique pest-induced… read more here.
Keywords: compositional traits; changes plant; leaf reflectance; reflectance ... See more keywords
Deep chemometrics for nondestructive photosynthetic pigments prediction using leaf reflectance spectra
Sign Up to like & getrecommendations! Published in 2020 at "Information Processing in Agriculture"
DOI: 10.1016/j.inpa.2020.02.001
Abstract: Abstract The need for the rapid assessment of the photosynthetic pigment contents in plants has encouraged the development of studies to produce nondestructive quantification methods. This need is driven by the fact that data on… read more here.
Keywords: deep chemometrics; leaf reflectance; photosynthetic pigments; prediction ... See more keywords
Fine-scale leaf chlorophyll distribution across a deciduous forest through two-step model inversion from Sentinel-2 data
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2021.112618
Abstract: Abstract Leaf chlorophyll content (LCC) is a key physiological trait and is crucial for monitoring plant health and accurately modeling the terrestrial carbon cycle. However, spatially-continuous information on LCC variability at fine time-steps, and at… read more here.
Keywords: step; model; reflectance; leaf reflectance ... See more keywords
Using hyperspectral leaf reflectance to estimate photosynthetic capacity and nitrogen content across eastern cottonwood and hybrid poplar taxa
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0264780
Abstract: Eastern cottonwood (Populus deltoides W. Bartram ex Marshall) and hybrid poplars are well-known bioenergy crops. With advances in tree breeding, it is increasingly necessary to find economical ways to identify high-performing Populus genotypes that can… read more here.
Keywords: eastern cottonwood; capacity; leaf reflectance; hyperspectral leaf ... See more keywords
A leaf reflectance-based crop yield modeling in Northwest Ethiopia
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0269791
Abstract: Crop yield prediction provides information to policymakers in the agricultural production system. This study used leaf reflectance from a spectroradiometer to model grain yield (GY) and aboveground biomass yield (ABY) of maize (Zea mays L.)… read more here.
Keywords: crop; leaf reflectance; crop yield; yield ... See more keywords
Reflectance estimation in cereal/pea intercropping system based on numerical images analysis method
Sign Up to like & getrecommendations! Published in 2017 at "Indian journal of agricultural research"
DOI: 10.18805/ijare.a-289
Abstract: A Field experiment was carried out during the 2015-2016 growing season at Sersour experimental farm, located in the semi-arid region of Setif (Algeria). The aim of this study was to evaluate the efficiency of using… read more here.
Keywords: reflectance estimation; leaf reflectance; analysis; senescence ... See more keywords