[HTML][HTML] Application of artificial intelligence in phenomics

S Nabwire, HK Suh, MS Kim, I Baek, BK Cho - Sensors, 2021 - mdpi.com
Plant phenomics has been rapidly advancing over the past few years. This advancement is
attributed to the increased innovation and availability of new technologies which can enable …

Digital applications and artificial intelligence in agriculture toward next-generation plant phenotyping

P Tripodi, N Nicastro, C Pane… - Crop and Pasture …, 2022 - CSIRO Publishing
In the upcoming years, global changes in agricultural and environmental systems will
require innovative approaches in crop research to ensure more efficient use of natural …

Deep learning: As the new frontier in high-throughput plant phenotyping

S Arya, KS Sandhu, J Singh, S Kumar - Euphytica, 2022 - Springer
With climate change and ever-increasing population growth, the pace of varietal
development needs to be accelerated in order to feed a population of 10 billion by 2050 …

[HTML][HTML] Unlocking the potential of plant phenotyping data through integration and data-driven approaches

F Coppens, N Wuyts, D Inzé, S Dhondt - Current Opinion in Systems …, 2017 - Elsevier
Plant phenotyping has emerged as a comprehensive field of research as the result of
significant advancements in the application of imaging sensors for high-throughput data …

Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective

K Mochida, S Koda, K Inoue, T Hirayama… - …, 2019 - academic.oup.com
Employing computer vision to extract useful information from images and videos is
becoming a key technique for identifying phenotypic changes in plants. Here, we review the …

[HTML][HTML] Special issue on computer vision and image analysis in plant phenotyping

H Scharr, H Dee, AP French, SA Tsaftaris - Machine Vision and …, 2016 - Springer
Plant phenotyping is the identification of effects on the phenotype (ie, the plant appearance
and behavior) as a result of genotype differences (ie, differences in the genetic code) and …

[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenotyping: a review

Y Jiang, C Li - Plant Phenomics, 2020 - spj.science.org
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

[HTML][HTML] Advanced phenotyping and phenotype data analysis for the study of plant growth and development

MM Rahaman, D Chen, Z Gillani, C Klukas… - Frontiers in plant …, 2015 - frontiersin.org
Due to an increase in the consumption of food, feed, fuel and to meet global food security
needs for the rapidly growing human population, there is a necessity to breed high yielding …

A comprehensive review of high throughput phenotyping and machine learning for plant stress phenotyping

T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

A review on sensing technologies for high-throughput plant phenotyping

Z Ma, R Rayhana, K Feng, Z Liu, G Xiao… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The current epidemic, population growth, and decreasing arable lands lead to a severe food
crisis, which calls for productive and efficient agricultural methods to ensure a sustainable …