Results 21 to 30 of about 722,503 (205)

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

Nondestructive 3D Image Analysis Pipeline to Extract Rice Grain Traits Using X-Ray Computed Tomography

Plant Phenomics, 2020
The traits of rice panicles play important roles in yield assessment, variety classification, rice breeding, and cultivation management. Most traditional grain phenotyping methods require threshing and thus are time-consuming and labor-intensive ...
Weijuan Hu, Can Zhang, Yuqiang Jiang, Chenglong Huang, Qian Liu, Lizhong Xiong, Wanneng Yang, Fan Chen   +7 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

A systematic representation of crop rotations. [PDF]

, 2008
Crop rotations are allocations by growers of crop types to specific fields through time. This paper aims at presenting (i) a systematic and rigorous mathematical representation of crops rotations; and (ii) a concise mathematical framework to model ...
Morris, J., Wood, G. A., Morris, Joe, Burgess, Paul J., Perry, J. N., Burgess, P. J., Castellazzi, M. S., Conrad, K. F.   +7 more
core   +1 more source

Harnessing Crop Diversity through Genetics, Genomics and Phenomics Approaches

Plants, 2023
Developing resilient cultivars ensuring adequate productions will be the agriculture industry’s primary challenge in the coming decades to ensure food security, especially with climate change and a growing global population [...]
Pasquale Tripodi, Annalisa Cocozza
doaj   +1 more source

Cell-based crop phenotyping for future climates. [PDF]

New Phytol
Flow‐chart diagram illustrating the proposed pathway for improving the throughput of fluorescence imaging‐based phenotyping by using robotics and machine learning (ML) approaches. Summary Abiotic stress tolerance has been significantly weakened in modern crops during the domestication process.
Shabala S, Yun P, Chen ZH, Zhou M, Yu M, Bazihizina N.   +5 more
europepmc   +2 more sources

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

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

CROP Political Survey 2004-11B

, 2023
The CROP Inc. political surveys in the Canadian Opinion Research Archive are focussed primarily on the political attitudes of residents in Quebec. The surveys were conducted on an occasional basis depending on events in the province. The are concentrated,
CROP
core   +1 more source