Citations in impact factor journals
High-throughput phenotyping of a large tomato collection under water deficit: Combining UAVs’ remote sensing with conventional leaf-level physiologic and agronomic measurements Agricultural Water Management |
Citation to this article as recorded by
4DPhenoMVS: A Low-Cost 3D Tomato Phenotyping Pipeline Using a 3D Reconstruction Point Cloud Based on Multiview Images 4DPhenoMVS: A Low-Cost 3D Tomato Phenotyping Pipeline Using a 3D Reconstruction Point Cloud Based on Multiview Images |
Accelerating Tomato Breeding by Exploiting Genomic Selection Approaches Plants Vol. 9, Issue 9, 1236, 2020 |
How to cite this article
I.O. Daniel, K.O. Atinsola, M.O. Ajala and A.R. Popoola, 2017. Phenotyping a Tomato Breeding Population by Manual Field Evaluation and Digital Imaging Analysis. International Journal of Plant Breeding and Genetics, 11: 19-24.
DOI: 10.3923/ijpbg.2017.19.24
URL: https://scialert.net/abstract/?doi=ijpbg.2017.19.24
DOI: 10.3923/ijpbg.2017.19.24
URL: https://scialert.net/abstract/?doi=ijpbg.2017.19.24