Results 41 to 50 of about 3,348 (213)

Scalable Architecture for Collaborative Phenomics (SACP) [PDF]

, 2018
Talk given for the Deploying the Digital AgriTech Ecosystem workshop for the Borevitz ANU Grand Challenge 2018 bid.AbstractSACP is a full-stack computing platform enabling digital agriculture from lab to field.
Tim Brown (448534)
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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

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
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Addressing Research Bottlenecks to Crop Productivity [PDF]

, 2021
Asymmetry of investment in crop research leads to knowledge gaps and lost opportunities to accelerate genetic gain through identifying new sources and combinations of traits and alleles.
Bennett, M., Wittich, P.E., Dodd, I.C., Foulkes, M.J., Korzun, V., Atkin, O.K., Hammer, G., Pogson, B.J., Slafer, G.A., Messina, C.D., McCouch, S.R., Taylor, N.L., Huang, B., Reynolds, M., Henderson, I.R., Cooper, M., Frohberg, C.   +16 more
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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
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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
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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
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Integrating Phenomics with Breeding for Climate-Smart Agriculture [PDF]

, 2021
Increasing food demand, with the burgeoning population worldwide is reaching an alarming condition along with depleting resources and unpredictable climatic vagaries.
Satheesh Naik, S.J., Tiwari, A., Joshi, R., Bohra, A., Kumari, A.   +4 more
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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
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Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics [PDF]

, 2015
Field-based plant phenomics requires robust crop sensing platforms and data analysis tools to successfully identify cultivars that exhibit phenotypes with high agronomic and economic importance.
Andrade-Sanchez, P., White, J. W., Welch, S. M., French, A. N., Thorp, K. R., Gore, M. A., Carmo-Silva, A. E.   +6 more
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