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Advanced Science, EarlyView.By employing a combination of single cell and spatial transcriptomic sequencing, this study presents a stereoscopic response of rice leaf to Magnaporthe oryzae infection. The vascular tissues mount defenses by producing phytoalexins. The immune strength is stronger toward the rice leaf tip than that of the leaf base.
Wei Wang +15 more
wiley +1 more source
AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices
Advanced Science, EarlyView.Triboelectric nanogenerators (TENGs) enable sustainable energy harvesting and self‐powered sensing but face challenges in material optimization, fabrication, and stability. Integrating artificial intelligence (AI) enhances TENG performance through machine learning, improving energy output, adaptability, and predictive maintenance.
Aiswarya Baburaj +4 more
wiley +1 more source
Prediction of leaf area index in almonds by vegetation indexes [PDF]
Computers and Electronics in Agriculture, 2012 Three levels of scale for determining leaf area index (LAI) were explored within an almond orchard of alternating rows of Nonpareil and Monterey varieties using hemispherical photography and mule lightbar (MLB) at ground level up to airborne and satellite imagery.
Michael L. Whiting +5 more
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Leaf Area Index and Specific Leaf Area Determinations
Journal of Agronomic Education, 1972ABSTRACTLeaf area is measured by several methods and area per unit leaf weight (specific leaf area) is calculated. Leaf area index is then calculated as the product of leaf yield and specific leaf area. Procedures and equipment needed are described.
R. H. Brown, E. W. Carson, D. D. Wolf
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International Journal of Remote Sensing, 1988
Abstract The geometrical structure of a vegetation canopy determines the amount of foliage presented to a sensor and the form of the relationship between reflectance and vegetation amount. The aim of this study was to develop a practical measure of vegetation amount that was sensitive to canopy geometry.
Neil W. Wardley, Paul J. Curran
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Abstract The geometrical structure of a vegetation canopy determines the amount of foliage presented to a sensor and the form of the relationship between reflectance and vegetation amount. The aim of this study was to develop a practical measure of vegetation amount that was sensitive to canopy geometry.
Neil W. Wardley, Paul J. Curran
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Critical Leaf Area Index in Pigeonpea
Journal of Agronomy and Crop Science, 1987AbstractExperiment conducted with six pigeonpea cultivars over three seasons revealed that the critical leaf area index was 5.3 which coincided with the maximum crop growth rate and optimum net assimilation rate. It was also evident that the crop growth rate was influenced more by NAR rather than LAI. This study also suggests that by maintaining higher
N. Natarajaratnam +2 more
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The Journal of Agricultural Science, 2002
A field study was conducted at the International Rice Research Institute (IRRI), Philippines during the dry seasons of 1997 and 1998 under irrigated conditions. The objectives of this study were to quantify the critical leaf area index (LAIc) at which tillering stops based on the relationship between tillering rate and LAI, and to determine the effect ...
R. M. Visperas +4 more
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A field study was conducted at the International Rice Research Institute (IRRI), Philippines during the dry seasons of 1997 and 1998 under irrigated conditions. The objectives of this study were to quantify the critical leaf area index (LAIc) at which tillering stops based on the relationship between tillering rate and LAI, and to determine the effect ...
R. M. Visperas +4 more
openaire +2 more sources
2013
This chapter briefly introduces the inversion algorithms used, discusses the product characteristics and validation results, and presents preliminary analyses and applications. The inversion algorithm was developed to estimate LAI from time-series remote sensing data using general regression neural networks (GRNNs).
Zhiqiang Xiao +6 more
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This chapter briefly introduces the inversion algorithms used, discusses the product characteristics and validation results, and presents preliminary analyses and applications. The inversion algorithm was developed to estimate LAI from time-series remote sensing data using general regression neural networks (GRNNs).
Zhiqiang Xiao +6 more
openaire +2 more sources
Variation of specific leaf area and upscaling to leaf area index in mature Scots pine
Trees, 2006Reliable and objective estimations of specific leaf area (SLA) and leaf area index (LAI) are essential for accurate estimates of the canopy carbon gain of trees. The variation in SLA with needle age and position in the crown was investigated for a 73-year-old Scots pine (Pinus sylvestris L.) stand in the Belgian Campine region.
Xiao, Chun-Wang +3 more
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Specific leaf area and leaf area index distribution in a young Douglas-fir plantation
Canadian Journal of Forest Research, 1986The spatial distribution of specific leaf area and leaf area index of needles in different age classes has been investigated in a young and unthinned Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) plantation in Central Italy through the destructive analysis of 12 trees sampled in four diameter size classes.
BORGHETTI, Marco +2 more
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