CVPPA21
* *Computer Vision in Plant Phenotyping and Agriculture
* Analysis of Arabidopsis Root Images: Studies on CNNs and Skeleton-Based Root Topology
* Classification and Visualization of Genotype-Phenotype Interactions in Biomass Sorghum
* Dynamic Color Transform for Wheat Head Detection
* Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
* Field-Based Plot Extraction Using UAV RGB Images
* From RGB to NIR: Predicting of near infrared reflectance from visible spectrum aerial images of crops
* Identification and Measurement of Individual Roots in Minirhizotron Images of Dense Root Systems
* Leaf Area Estimation by Semantic Segmentation of Point Cloud of Tomato Plants
* LeafMask: Towards Greater Accuracy on Leaf Segmentation
* Machine learning meets distinctness in variety testing
* Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
* Predicting Protein Content in Grain Using Hyperspectral Deep Learning
* Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled Samples, A
* Semi-supervised dry herbage mass estimation using automatic data and synthetic images
* Tip-burn stress detection of lettuce canopy grown in Plant Factories
* Visualizing Feature Maps for Model Selection in Convolutional Neural Networks
* What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?
* WheatNet-Lite: A Novel Light Weight Network for Wheat Head Detection
19 for CVPPA21
CVPPP15
* *Computer Vision Problems in Plant Phenotyping
* 3D Surface Reconstruction of Plant Seeds by Volume Carving
* Counting leaves without 'finger-counting' by supervised multiscale frequency analysis of depth images from top view
* Fuzzy c-means based plant segmentation with distance dependent threshold
* Gaussian Process Shape Models for Bayesian Segmentation of Plant Leaves
* interactive tool for semi-automated leaf annotation, An
* Learning to Count Leaves in Rosette Plants
* Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images
8 for CVPPP15
CVPPP17
* *Computer Vision Problems in Plant Phenotyping
* ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network
* Automated Stem Angle Determination for Temporal Plant Phenotyping Analysis
* Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers
* Deep Learning for Multi-task Plant Phenotyping
* Drought Stress Classification Using 3D Plant Models
* Easy-to-Setup 3D Phenotyping Platform for KOMATSUNA Dataset, An
* Leaf Counting with Deep Convolutional and Deconvolutional Networks
* Leveraging Multiple Datasets for Deep Leaf Counting
* Locating Crop Plant Centers from UAV-Based RGB Imagery
10 for CVPPP17