Results 21 to 30 of about 1,165,106 (235)

Optimizing Crop Production With Plant Phenomics Through High‐Throughput Phenotyping and AI in Controlled Environments

Food and Energy Security
Plant phenomics deals with the measurement of plant phenotypes associated with genetic and environmental variation in controlled environment agriculture (CEA).
Cengiz Kaya
doaj   +2 more sources

Genebank Phenomics: A Strategic Approach to Enhance Value and Utilization of Crop Germplasm

Plants, 2020
Genetically diverse plant germplasm stored in ex-situ genebanks are excellent resources for breeding new high yielding and sustainable crop varieties to ensure future food security.
Giao N. Nguyen, S. Norton
semanticscholar   +5 more sources

State-of-the-art Technology and Applications in Crop Phenomics [PDF]

Frontiers Research Topics, 2021
Yang, Wanneng, Doonan, John H., Hawkesford, Malcolm J., Pridmore, Tony, Zhou, Ji   +4 more
semanticscholar   +5 more sources

Combining the Pre-Trained Model Roberta with a Two-Layer Bidirectional Long- and Short-Term Memory Network and a Multi-Head Attention Mechanism for a Rice Phenomics Entity Classification Study

AgriEngineering
At a time when global food security is challenged, the importance of phenomics research on rice, as a major food crop, has become more and more prominent.
Dayu Xu, Xinyu Zhu, Xuyao Zhang, Fang Xia   +3 more
doaj   +2 more sources

Harnessing Multi-Omics and Predictive Modeling for Climate-Resilient Crop Breeding: From Genomes to Fields. [PDF]

Genes (Basel)
The escalating impacts of climate change pose significant threats to global agriculture, necessitating a rapid development of climate-resilient crop varieties.
Amin A, Zaman W, Park S.
europepmc   +2 more sources

Editorial: Unlocking crop potential: root characterization through phenomics and genomics

Frontiers in Plant Science
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Muhammad Awais Farooq, Gwendolyn K. Kirschner   +1 more
doaj   +2 more sources

High-resolution phenomics dataset collected on a field-grown, EMS-mutagenized sorghum population evaluated in hot, arid conditions. [PDF]

BMC Res Notes
The University of Arizona Field Scanner (FS) is capable of generating massive amounts of data from a variety of instruments at high spatial and temporal resolution.
Demieville J, Dilkes B, Eveland AL, Pauli D.   +3 more
europepmc   +2 more sources

Phenomic characterization of Crotalaria germplasm for crop improvement [PDF]

CABI Agriculture and Bioscience, 2021
Abstract Background Diversification of global food systems through exploration of traditional varieties and wild edible plant species is a focal mitigation strategy for food security worldwide. The present study determined the phenomic diversity of locally available, affordable and climate-resilient cultivated and wild ...
Joshua Kiilu Muli, Johnstone O. Neondo, Peter K. Kamau, Eddy Odari, Nancy L. M. Budambula   +4 more
openaire   +2 more sources

Identification of High Nitrogen Use Efficiency Phenotype in Rice (Oryza sativa L.) Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery

Frontiers in Plant Science, 2021
Identification of high Nitrogen Use Efficiency (NUE) phenotypes has been a long-standing challenge in breeding rice and sustainable agriculture to reduce the costs of nitrogen (N) fertilizers.
Ting Liang, Ting Liang, Ting Liang, Bo Duan, Xiaoyun Luo, Xiaoyun Luo, Xiaoyun Luo, Yi Ma, Yi Ma, Zhengqing Yuan, Zhengqing Yuan, Zhengqing Yuan, Renshan Zhu, Renshan Zhu, Renshan Zhu, Yi Peng, Yi Peng, Yan Gong, Yan Gong, Shenghui Fang, Shenghui Fang, Xianting Wu, Xianting Wu, Xianting Wu, Xianting Wu   +24 more
doaj   +1 more source

A Mixed Data-Based Deep Neural Network to Estimate Leaf Area Index in Wheat Breeding Trials [PDF]

, 2020
Remote and non-destructive estimation of leaf area index (LAI) has been a challenge in the last few decades as the direct and indirect methods available are laborious and time-consuming.
Apolo Apolo, Orly Enrique, Egea Cegarra, Gregorio, Martínez Guanter, Jorge, Pérez Ruiz, Manuel   +3 more
core   +1 more source