Results 111 to 120 of about 12,382 (192)

Endotypes of Vascular Health Predict Transplantation-Free Survival in Pulmonary Hypertension. [PDF]

J Am Heart Assoc
Farha S, Hu B, Chen R, Barnard J, Comhair S, Heresi G, Parambil J, Tonelli A, Beck G, Berman-Rosenzweig E, DuBrock H, Finet JE, Frantz RP, Grunig G, Hassoun PM, Hemnes AR, Hill N, Horn E, Jellis C, Leopold JA, Park MM, Rischard FP, Simpson C, Tang WHW, Olman MA, Erzurum SC, Dweik RA, PVDOMICS Study Group.   +27 more
europepmc   +1 more source

Multi-temporal UAV multispectral phenotyping and machine learning for modeling cotton defoliation dynamics across diverse accessions. [PDF]

Plant Phenomics
Li M, Feng Q, Li X, Wang G, Du M, Wan S, Dong H, Ren M, Yang Z, Feng L, Chen G.   +10 more
europepmc   +1 more source

Phenomics: Emerging Artificial Intelligence Tool in Crop Improvement

International audiencePhenomics, which involves the holistic analysis of plant phenotypes using cutting-edge sensing and data processing technologies, has emerged as an AI-powered technique in plant breeding.
Vairam, N, Murugan, N
core  

Phenomics-assisted sparse testing for potato breeding. [PDF]

Sci Rep
Aono AH, Chawade A.
europepmc   +1 more source

Internal and external factors drive vegetative-reproductive strategies and reveal plant developmental stage as a lever for precision grassland management. [PDF]

Plant Phenomics
Zhang YW, Zhou JY, Guo ZX, Li L, Hou FJ.
europepmc   +1 more source

Applications and Future Prospects of Plant Multi-Omics Technologies in Precision Agriculture. [PDF]

Int J Mol Sci
Tong T, Wang Q, Zeng F, Ye S, Ji Z, Chen Z, Wang Y, Ouyang Y.   +7 more
europepmc   +1 more source

Application of deep learning in crop research: From genomics to phenomics. [PDF]

Plant Genome
Wu Z, Sun Y, Luo Q, Wei J, Cui J, Fang Y, Niu Y, Li Z, Wang X, Liu Z.   +9 more
europepmc   +1 more source

Harnessing high-throughput phenotyping and artificial intelligence for soybean breeding: From trait assessment to data-driven decisions. [PDF]

Plant Phenomics
Chagas JTB, Araújo MS, Pavan JPS, Françani AO, Ferreira GNC, Stella AA, Martinez M, Retore YI, Fregonezi BF, Martins GM, Zhao T, Zhou J, Sousa DR, Gao Y, Ji D, Gao K, Li B, Liu S, Zhao L, Pinheiro JB.   +19 more
europepmc   +1 more source

Advancing anthracnose resistance in dry beans through the transition from traditional to computational breeding efforts. [PDF]

Front Plant Sci
Patel A, Ahlawat S, Lorenc P, Vazin M, Maleki M, Yoosefzadeh Najafabadi M.   +5 more
europepmc   +1 more source

Analysis of Concepts and Categories of Plant Phenome and Phenomics

Acta Agronomica Sinica, 2014
openaire   +1 more source