New approaches to improve crop tolerance to biotic and abiotic stresses

M Gonzalez Guzman, F Cellini… - Physiologia …, 2022 - Wiley Online Library
During the last years, a great effort has been dedicated at the development and employment
of diverse approaches for achieving more stress‐tolerant and climate‐flexible crops and …

Multi-omics pipeline and omics-integration approach to decipher plant's abiotic stress tolerance responses

R Roychowdhury, SP Das, A Gupta, P Parihar… - Genes, 2023 - mdpi.com
The present day's ongoing global warming and climate change adversely affect plants
through imposing environmental (abiotic) stresses and disease pressure. The major abiotic …

Remote sensing and machine learning in crop phenotyping and management, with an emphasis on applications in strawberry farming

C Zheng, A Abd-Elrahman, V Whitaker - Remote Sensing, 2021 - mdpi.com
Measurement of plant characteristics is still the primary bottleneck in both plant breeding
and crop management. Rapid and accurate acquisition of information about large plant …

Internet of Things‐Enabled Food and Plant Sensors to Empower Sustainability

M Ataei Kachouei, A Kaushik… - Advanced Intelligent …, 2023 - Wiley Online Library
To promote sustainability, this review explores: 1) the utilization of affordable high‐
performance sensors that can enhance food safety and quality, plant growth, and disease …

Recent advances in sugarcane genomics, physiology, and phenomics for superior agronomic traits

MR Meena, C Appunu, R Arun Kumar… - Frontiers in …, 2022 - frontiersin.org
Advances in sugarcane breeding have contributed significantly to improvements in
agronomic traits and crop yield. However, the growing global demand for sugar and biofuel …

[PDF][PDF] Advances from conventional to modern plant breeding methodologies

S Lamichhane, S Thapa - Plant Breed. Biotechnol, 2022 - researchgate.net
First initiation of breeding started thousands of years ago when human practiced selection
based in visually appealing traits. Further, domestication of wild plants eased adaptation of …

Self-supervised plant phenotyping by combining domain adaptation with 3D plant model simulations: Application to wheat leaf counting at seedling stage

Y Li, X Zhan, S Liu, H Lu, R Jiang, W Guo… - Plant …, 2023 - spj.science.org
The number of leaves at a given time is important to characterize plant growth and
development. In this work, we developed a high-throughput method to count the number of …

[HTML][HTML] Deep learning for strawberry canopy delineation and biomass prediction from high-resolution images

C Zheng, A Abd-Elrahman, VM Whitaker, C Dalid - Plant Phenomics, 2022 - spj.science.org
Modeling plant canopy biophysical parameters at the individual plant level remains a major
challenge. This study presents a workflow for automatic strawberry canopy delineation and …

OPIA: an open archive of plant images and related phenotypic traits

Y Cao, D Tian, Z Tang, X Liu, W Hu… - Nucleic Acids …, 2024 - academic.oup.com
High-throughput plant phenotype acquisition technologies have been extensively utilized in
plant phenomics studies, leading to vast quantities of images and image-based phenotypic …

Drought stress detection technique for wheat crop using machine learning

A Gupta, L Kaur, G Kaur - PeerJ Computer Science, 2023 - peerj.com
The workflow of this research is based on numerous hypotheses involving the usage of pre-
processing methods, wheat canopy segmentation methods, and whether the existing …