Results 31 to 40 of about 760,293 (222)

Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage

Plant Phenomics, 2023
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 leaves by detecting leaf tips in RGB images. The digital plant phenotyping platform
Yinglun Li, Xiaohai Zhan, Shouyang Liu, Hao Lu, Ruibo Jiang, Wei Guo, Scott Chapman, Yufeng Ge, Benoit Solan, Yanfeng Ding, Frédéric Baret   +10 more
doaj   +1 more source

The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat

Plant Phenomics, 2023
Inefficient nitrogen (N) utilization in agricultural production has led to many negative impacts such as excessive use of N fertilizers, redundant plant growth, greenhouse gases, long-lasting toxicity in ecosystem, and even effect on human health ...
Guohui Ding, Liyan Shen, Jie Dai, Robert Jackson, Shuchen Liu, Mujahid Ali, Li Sun, Mingxing Wen, Jin Xiao, Greg Deakin, Dong Jiang, Xiu-e Wang, Ji Zhou   +12 more
doaj   +1 more source

Transdisciplinary Graduate Training in Predictive Plant Phenomics [PDF]

, 2018
Novel methods to increase crop productivity are required to meet anticipated demands for food, feed, fiber, and fuel. It is becoming feasible to use modern sensors and data analysis techniques for predicting plant growth and productivity based on genomic,
Wittrock, Jill, Lawrence-Dill, Carolyn, Losch, Mary E., Strong, Stephanie J., Patrick S. Schnable, Losch, Mary, Patrick Schnable, Stephanie J. Strong, Strong, Stephanie, Lawrence-Dill, Carolyn J., Heindel, Theodore J., Schnable, Patrick, Mary E. Losch, Julie A. Dickerson, Heindel, Theodore, Stephanie Strong, Dickerson, Julie A., Dickerson, Julie, Theodore Heindel, Carolyn J. Lawrence-Dill, Mary Losch, Theodore J. Heindel, Carolyn Lawrence-Dill, Julie Dickerson, Jill Wittrock, Schnable, Patrick S.   +25 more
core   +1 more source

PHENOMICS-DATA DRIVEN TOOLS FOR MACHINE LEARNING-ASSISTED DECISION SUPPORT IN AGRICULTURE [PDF]

, 2022
The advancements in sensor technologies – in omics research in agriculture – have increased the amount of generated data. One example of omics data is phenomics, the science of measuring phenotypes (i.e., crop and animal phenotype).
Marzougui, Afef
core   +1 more source

Phenomics Analysis [PDF]

, 2017
This report describes Poplar and Douglas-fir screening for lignin content and drought stress using recently developed high-throughput optical screening based on non-invasive image technology (Phenomics).Kirchhoff, H., Hoehner, R., Wood, M., Zia, A ...
Kirchhoff, Helmut, Zia, Ahmad, Herman, Barri, Wood, Magnus, Lewis, Norman, Hoehner, Ricarda   +5 more
core   +3 more sources

Phenomics: Approaches and Application in Crop Improvement

Current Journal of Applied Science and Technology, 2019
Phenotype is the combination of genotype and environment where the plant grows. Phenomics is a way of speeding up phenotyping with the help of high-tech imaging systems and computing power. It has been a practice in plant breeding for selecting the best genotype after studying phenotypic expression in different environmental conditions and also using ...
K. A. Prajwala, P. Roshni
openaire   +2 more sources

Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing

Plant Phenomics, 2022
Wheat yield and grain protein content (GPC) are two main optimization targets for breeding and cultivation. Remote sensing provides nondestructive and early predictions of yield and GPC, respectively.
Zhuangzhuang Sun, Qing Li, Shichao Jin, Yunlin Song, Shan Xu, Xiao Wang, Jian Cai, Qin Zhou, Yan Ge, Ruinan Zhang, Jingrong Zang, Dong Jiang   +11 more
doaj   +1 more source

Applications of Multi-Omics Technologies for Crop Improvement

Frontiers in Plant Science, 2021
Multiple “omics” approaches have emerged as successful technologies for plant systems over the last few decades. Advances in next-generation sequencing (NGS) have paved a way for a new generation of different omics, such as genomics, transcriptomics, and
Yaodong Yang, Mumtaz Ali Saand, Mumtaz Ali Saand, Liyun Huang, Walid Badawy Abdelaal, Jun Zhang, Yi Wu, Jing Li, Muzafar Hussain Sirohi, Fuyou Wang   +9 more
doaj   +1 more source

Omics for the Improvement of Abiotic, Biotic, and Agronomic Traits in Major Cereal Crops: Applications, Challenges, and Prospects

Plants, 2021
Omics technologies, namely genomics, transcriptomics, proteomics, metabolomics, and phenomics, are becoming an integral part of virtually every commercial cereal crop breeding program, as they provide substantial dividends per unit time in both pre ...
Balwinder Kaur, Karansher S. Sandhu, Roop Kamal, Kawalpreet Kaur, Jagmohan Singh, Marion S. Röder, Quddoos H. Muqaddasi   +6 more
doaj   +1 more source

Evaluation of an intelligent artificial climate chamber for high-throughput crop phenotyping in wheat

Plant Methods, 2022
Background The superposition of COVID-19 and climate change has brought great challenges to global food security. As a major economic crop in the world, studying its phenotype to cultivate high-quality wheat varieties is an important way to increase ...
Anhua Ren, Dong Jiang, Min Kang, Jie Wu, Fangcheng Xiao, Pei Hou, Xiuqing Fu   +6 more
doaj   +1 more source