Channels - Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements :: FRELIP Discovery

Similar Items: Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements

Quick Look
Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress
Quick Look
From leaf to canopy: Inversion of lettuce pigment distribution using hyperspectral imaging technology combined with deep learning algorithms
Quick Look
Near-infrared spectroscopy as a high-throughput phenotyping method for fusiform rust resistance in loblolly pine
Quick Look
Grading evaluation of haploid fertility restoration traits based on inception-ResNet in maize
Quick Look
Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust
Quick Look
LenRuler: a rice-centric method for automated radicle length measurement with multicrop validation
Quick Look
A keypoint-based method for detecting weed growth points in corn field environments
Quick Look
Detecting nematodes in potato plants an explainable machine learning approach for detection of potato cyst nematode infections using hyperspectral imaging
Quick Look
Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review
Quick Look
Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework
Quick Look
FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection
Quick Look
WPDSI: A deep learning method for wheat phenology detection from single-temporal images
Quick Look
Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming
Quick Look
Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight
Quick Look
Three-dimensional reconstruction of densely planted rice seedlings based on MultiView images
Quick Look
PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field crops
Quick Look
KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images
Quick Look
De-occlusion models and diffusion-based data augmentation for size estimation of on-plant oriental melons
Quick Look
Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++
Quick Look
CitrusGAN: sparse-view X-ray CT reconstruction for citrus based on generative adversarial networks
Quick Look
TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud
Quick Look
3D reconstruction of root system architecture in urban forest parks based on ground penetrating radar instantaneous amplitude analysis
Quick Look
RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
Quick Look
The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza sativa L.)