[HTML][HTML] Techniques for Canopy to Organ Level Plant Feature Extraction via Remote and Proximal Sensing: A Survey and Experiments
This paper presents an extensive review of techniques for plant feature extraction and
segmentation, addressing the growing need for efficient plant phenotyping, which is …
segmentation, addressing the growing need for efficient plant phenotyping, which is …
Deep Learning Methods Using Imagery from a Smartphone for Recognizing Sorghum Panicles and Counting Grains at a Plant Level
GN Santiago, PH Cisdeli Magalhaes… - Plant …, 2024 - spj.science.org
High-throughput phenotyping is the bottleneck for advancing field trait characterization and
yield improvement in major field crops. Specifically for sorghum (Sorghum bicolor L.), rapid …
yield improvement in major field crops. Specifically for sorghum (Sorghum bicolor L.), rapid …
[HTML][HTML] Handling intra-class imbalance in part-segmentation of different wheat cultivars
Plant phenotyping is crucial for precisely measuring traits across diverse morphotypes in
cereals such as wheat, where the variability in the proportion of ears to leaves poses …
cereals such as wheat, where the variability in the proportion of ears to leaves poses …
Cucumber Seedling Segmentation Network Based on a Multiview Geometric Graph Encoder from 3D Point Clouds
Y Zhang, Y Xie, J Zhou, X Xu, M Miao - Plant Phenomics, 2024 - spj.science.org
Plant phenotyping plays a pivotal role in observing and comprehending the growth and
development of plants. In phenotyping, plant organ segmentation based on 3D point clouds …
development of plants. In phenotyping, plant organ segmentation based on 3D point clouds …
A fast high throughput plant phenotyping system using YOLO and Chan-Vese segmentation
Understanding plant traits is essential for decoding the behavior of various genomes and
their reactions to environmental factors, paving the way for efficient and sustainable …
their reactions to environmental factors, paving the way for efficient and sustainable …
Understanding Satellite Image Processing and Black Box Models with Ante-Hoc and Post-Hoc Explanations in Deep Learning
SB Kasetty, K Rajakumar - 2024 10th International Conference …, 2024 - ieeexplore.ieee.org
This research aims to investigate the challenges of using black box models in deep learning
and analyzing satellite images through a thorough meta-analysis. The main goal of the study …
and analyzing satellite images through a thorough meta-analysis. The main goal of the study …
Botanic Alchemy: Cultivating Insight through Extensive Plant Disease Dataset and Reweighted Visual Analysis
Diagnosing plant diseases research tackles the vital challenge of identifying plant diseases
in agriculture by focusing on the intricate complexities found in images displaying diverse …
in agriculture by focusing on the intricate complexities found in images displaying diverse …
[PDF][PDF] Automatic segmentation of plant organs from point clouds
Q Shen - 2024 - repository.tudelft.nl
Plant phenotyping, the quantitative acquiring, modeling, and analyzing of plant traits that are
formed by the dynamic interaction of genotype and environment, could bridge the gap …
formed by the dynamic interaction of genotype and environment, could bridge the gap …
Recognition of Live Equipment Models in Substations Based on 3D Point Cloud Data
Y Liang, G Sun, Y Tian, J Song… - 2024 IEEE 25th …, 2024 - ieeexplore.ieee.org
During the expansion and modification of substations, scenarios arise where construction
equipment operates near live bodies, requiring a secure distance between the equipment …
equipment operates near live bodies, requiring a secure distance between the equipment …