Results 201 to 210 of about 1,165,106 (235)

Phenomics-Driven Dissection of Plant Complexity Enables Gene Discovery, Biotechnological Innovation, and Crop Improvement

Scholars Journal of Agriculture and Veterinary Sciences
In contemporary plant research, phenomics, the thorough and high-throughput examination of phenotypic traits, has become a crucial field that facilitates a better knowledge of plant complexity and speeds up gene discovery, biotechnological advancement ...
A. Fatima, M. Ashraf, Muhammad Qadir, A. Rafi, M. Anas, M. Darwish, S. Ahmad, I. Nazar, M. Shahid   +8 more
semanticscholar   +1 more source

A review of the journey of field crop phenotyping: From trait stamp collections and fancy robots to phenomics-informed crop performance predictions.

Journal of plant physiology
Crop phenotyping encompasses methodologies for measuring plant growth, architecture, and composition with high precision across scales, from organs to canopies. Field-based phenotyping is pivotal in bridging genomic data with crop performance, offering a
Lukas Roth, Afef Marzougui, Achim Walter
semanticscholar   +1 more source

Low-Cost Photogrammetry Rig for 3D Crop Modelling and Plant Phenomics

2023
Photogrammetry is the science of obtaining a 3D scan of an object. Through this process, reliable information about the physical object’s complex structure can be obtained, studied and analysed. A low-cost Structure from Motion (SfM) technique can be used to create 3D models using multiple 2D images from different viewpoints.
Joe Hrzich, Christopher P. Bidinosti, Michael A. Beck, Christopher J. Henry, Kalhari Manawasinghe, Karen Tanino   +5 more
openaire   +1 more source

The role of crop growth models in crop improvement: integrating phenomics, envirotyping and genomic prediction

2022
The chapter highlights the interplay of high throughput phenotyping with crop growth models (CGMs). The chapter shows how crop models can be used to explore knowledge of phenotype, environment and genotype to better understand and predict their complex interrelationships.
Jana Kholová, Amir Hajjarpoor, Vincent Garin, William Nelson, Madina Diacoumba, Carlos D. Messina, Graeme L. Hammer, Yunbi Xu, Milan O. Urban, Jan Jarolímek   +9 more
openaire   +1 more source

Phenomics in Crop Plants: Trends, Options and Limitations

2015
1. Plant Phenomics: An Overview.- 2. Traits for Phenotyping.- 3. High Precision Phenotyping under Controlled versus Natural Environments.- 4. Towards Digital and Image Based Phenotyping.- 5. Imaging Methods for Phenotyping of Plant Traits.- 6. Screening for Plant Features.- 7. Phenotyping Crop Plants for Drought and Heat Related Traits.- 8. Phenotyping
openaire   +1 more source

CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research

Plant Phenomics
Machine learning models for crop image analysis and phenomics are highly important for precision agriculture and breeding and have been the subject of intensive research.
Zhiyang Tang, Jiandong Sun, Yunlu Tian, Jiexiong Xu, Weikun Zhao, Gang Jiang, Jiaqi Deng, Xiangchao Gan   +7 more
semanticscholar   +1 more source

Phenomics: Next Generation of Agronomical Trait for Agriculture Crops

Agriculture now has facing different type of challenges to overcome by high through output technology with their management with respect to crops. The United Nations has established seventeen goal to achieve zero hunger and malnutrition by 2030, ensuring that people especially children have sufficient and nutritious food throughout the year.
Krishna Kumar Yadav, Lavi Dabas, D. S. Shailaja, Pradeep Kumar, Simran Kirti, Gaurav Sharma, Shivani Ahalawat, Ritu Rani   +7 more
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Integrative phenomics, metabolomics and genomics analysis provides new insights for deciphering the genetic basis of metabolism in polished rice

Genome Biology
Metabolomics is one of the most widely used omics tools for deciphering the functional networks of the metabolites for crop improvement. However, it is technically demanding and costly.
Hui Feng, Yufei Li, Guoxing Dai, Zhuang Yang, Jingyan Song, Bingjie Lu, Yuan Gao, Yongqi Chen, Jiawei Shi, L. Mur, Lejun Yu, Jie Luo, Wanneng Yang   +12 more
semanticscholar   +1 more source

Phenomics: Approaches and Application in Improvement of Vegetable Crops

Research Biotica, 2021
Naorem Bidyaleima Chanu, B. N. Hazarika, Md. Ramjan   +2 more
openaire   +1 more source

Deep Learning in Plant Stress Phenomics Studies - A Review

International Journal of Computing and Digital Systems
: E ffi cient crop management and treatment rely on early detection of plant stress. Imaging sensors provide a non-destructive and commonly used method for detecting stress in large farm fields.
Sanjyot Patil, Shrikrishna Kolhar, Jayant Jagtap   +2 more
semanticscholar   +1 more source