Cotton breeding in Australia: meeting the challenges of the 21st century

WC Conaty, KJ Broughton, LM Egan, X Li, Z Li… - Frontiers in Plant …, 2022 - frontiersin.org
The Commonwealth Scientific and Industrial Research Organisation (CSIRO) cotton
breeding program is the sole breeding effort for cotton in Australia, developing high …

A systematic review of effective hardware and software factors affecting high-throughput plant phenotyping

F Solimani, A Cardellicchio, M Nitti, A Lako, G Dimauro… - Information, 2023 - mdpi.com
Plant phenotyping studies the complex characteristics of plants, with the aim of evaluating
and assessing their condition and finding better exemplars. Recently, a new branch …

Attention-optimized DeepLab V3+ for automatic estimation of cucumber disease severity

K Li, L Zhang, B Li, S Li, J Ma - Plant Methods, 2022 - Springer
Background Automatic and accurate estimation of disease severity is critical for disease
management and yield loss prediction. Conventional disease severity estimation is …

Detection and quantification of cotton trichomes by deep learning algorithm

K Luo, Y Jin, S Wen, Y Li, J Rong, M Ding - Computers and Electronics in …, 2023 - Elsevier
Cotton is one of the most economically important agricultural crops with the harvest of cotton
fibers. Trichomes are initiated from the plant epidermis, which is responsible for plant …

Image-based classification of wheat spikes by glume pubescence using convolutional neural networks

NV Artemenko, MA Genaev, RUI Epifanov… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Pubescence is an important phenotypic trait observed in both vegetative and
generative plant organs. Pubescent plants demonstrate increased resistance to various …

A new laboratory method to study the impact of leaf texture on pesticide dislodgeable foliar residues (DFR)

MH Badawy, D Murnane, KA Lewis… - … Science and Health …, 2023 - Taylor & Francis
Pesticides are vital in meeting the challenge of feeding the rapidly increasing world
population. However, it is crucial that they are used in a way that does not compromise the …

[HTML][HTML] Characterization of trichome phenotypes to assess maturation and flower development in Cannabis sativa L.(cannabis) by automatic trichome gland analysis

DB Sutton, ZK Punja, G Hamarneh - Smart Agricultural Technology, 2023 - Elsevier
Cannabis (Cannabis sativa L.) is cultivated by licensed producers in Canada for medicinal
and recreational uses. The recent legalization of this plant in 2018 has resulted in rapid …

[HTML][HTML] Automated corner grading of trading cards: Defect identification and confidence calibration through deep learning

L Nahar, MS Islam, M Awrangjeb, R Verhoeve - Computers in Industry, 2025 - Elsevier
This research focuses on trading card quality inspection, where defects have a significant
effect on both the quality inspection and grading. The present inspection procedure is …

Plant microphenotype: from innovative imaging to computational analysis

Y Zhang, S Gu, J Du, G Huang, J Shi… - Plant Biotechnology …, 2024 - Wiley Online Library
The microphenotype plays a key role in bridging the gap between the genotype and the
complex macro phenotype. In this article, we review the advances in data acquisition and …

HairNet2: deep learning to quantify cotton leaf hairiness, a complex genetic and environmental trait

M Farazi, WC Conaty, L Egan, SPJ Thompson… - Plant Methods, 2024 - Springer
Background Cotton accounts for 80% of the global natural fibre production. Its leaf hairiness
affects insect resistance, fibre yield, and economic value. However, this phenotype is still …