A review of computer vision technologies for plant phenotyping

Z Li, R Guo, M Li, Y Chen, G Li - Computers and Electronics in Agriculture, 2020 - Elsevier
Plant phenotype plays an important role in genetics, botany, and agronomy, while the
currently popular methods for phenotypic trait measurement have some limitations in …

[HTML][HTML] Computer vision-based plants phenotyping: A comprehensive survey

T Meraj, MI Sharif, M Raza, A Alabrah, S Kadry… - Iscience, 2024 - ncbi.nlm.nih.gov
The increasing demand for food production due to the growing population is raising the
need for more food-productive environments for plants. The genetic behavior of plant traits …

Flower classification using deep convolutional neural networks

H Hiary, H Saadeh, M Saadeh, M Yaqub - IET computer vision, 2018 - Wiley Online Library
Flower classification is a challenging task due to the wide range of flower species, which
have a similar shape, appearance or surrounding objects such as leaves and grass. In this …

Color image segmentation based on multiobjective artificial bee colony optimization

T Sağ, M Çunkaş - Applied soft computing, 2015 - Elsevier
This paper presents a new color image segmentation method based on a multiobjective
optimization algorithm, named improved bee colony algorithm for multi-objective …

[HTML][HTML] Self-adaptive dragonfly based optimal thresholding for multilevel segmentation of digital images

RK Sambandam, S Jayaraman - Journal of King Saud University-Computer …, 2018 - Elsevier
Dragonfly optimization (DFO) is a population based meta-heuristic optimization algorithm
that simulates the static and dynamic swarming behaviors of dragonflies. The static swarm …

Ant colony algorithm for traffic signal timing optimization

J He, Z Hou - Advances in Engineering Software, 2012 - Elsevier
In order to separate the conflict of the traffic flow effectively, time delay, number of stops and
traffic capacity are chosen as performance indexes, and the objective function related to the …

A comparative study on point cloud down-sampling strategies for deep learning-based crop organ segmentation

D Li, Y Wei, R Zhu - Plant Methods, 2023 - Springer
The 3D crop data obtained during cultivation is of great significance to screening excellent
varieties in modern breeding and improvement on crop yield. With the rapid development of …

The segmentation of wear particles in ferrograph images based on an improved ant colony algorithm

J Wang, L Zhang, F Lu, X Wang - Wear, 2014 - Elsevier
Ferrography is a notably useful means to determine the wear condition of machines. Before
attempting to extract the feature parameters of wear particles for identification and analysis, it …

[HTML][HTML] Adaptive chemical reaction based spatial fuzzy clustering for level set segmentation of medical images

V Asanambigai, J Sasikala - Ain Shams Engineering Journal, 2018 - Elsevier
The chemical reaction optimization (CRO), inspired from the interactions of molecules during
chemical reactions in reaching a low energy stable state, searches for optimal solution …

[图书][B] Artificial intelligence applications for health care

MK Ahirwal, ND Londhe, A Kumar - 2022 - api.taylorfrancis.com
This book takes an interdisciplinary approach covering health care, cognitive computing,
and artificial intelligence. Data sets related to biomedical signals (ECG, EEG, EMG) and …