E-LIB Suche - Ergebnisse für: Potgieter, Andries B

1

Seasonal dynamics of fallow and cropping lands in the broad..:

Xie, Zunyi ; Zhao, Yan ; Jiang, Ruizhu...
Remote Sensing of Environment. 305 (2024) - p. 114070 , 2024

Link: https://doi.org/10.1016/..

2

Genetic basis of sorghum leaf width and its potential as a ..:

Zhi, Xiaoyu ; Hammer, Graeme ; Borrell, Andrew...
Theoretical and Applied Genetics. 135 (2022) 9 - p. 3057-3071 , 2022

Link: https://doi.org/10.1007/..

3

Lead time and skill of Australian wheat yield forecasts bas..:

Potgieter, Andries B ; Schepen, Andrew ; Brider, Jason.
Agricultural and Forest Meteorology. 324 (2022) - p. 109116 , 2022

Link: https://doi.org/10.1016/..

4

Challenges and opportunities in remote sensing-based crop m..:

Wu, Bingfang ; Zhang, Miao ; Zeng, Hongwei...
National Science Review. 10 (2022) 4 - p. , 2022

Link: https://doi.org/10.1093/..

5

A High-Throughput Phenotyping Pipeline for Rapid Evaluation..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,

Das, Sumanta ; Massey-Reed, Sean Reynolds ; Mahuika, Jenny... - p. 7783-7786 , 2022

Link: https://doi.org/10.1109/..

6

Detecting Sorghum Plant and Head Features from Multispectra..:

Zhao, Yan ; Zheng, Bangyou ; Chapman, Scott C....
Plant Phenomics. 2021 (2021) - p. , 2021

Link: https://doi.org/10.34133..

7

Scaling up high-throughput phenotyping for abiotic stress s..:

Smith, Daniel T. ; Potgieter, Andries B. ; Chapman, Scott C.
Theoretical and Applied Genetics. 134 (2021) 6 - p. 1845-1866 , 2021

Link: https://doi.org/10.1007/..

8

Evolution and application of digital technologies to predic..:

Potgieter, Andries B ; Zhao, Yan ; Zarco-Tejada, Pablo J...
in silico Plants. 3 (2021) 1 - p. , 2021

Link: https://doi.org/10.1093/..

9

Predicting Wheat Yield at the Field Scale by Combining High..:

Zhao, Yan ; Potgieter, Andries B ; Zhang, Miao..
Remote Sensing. 12 (2020) 6 - p. 1024 , 2020

Link: https://doi.org/10.3390/..

10

Field crop phenomics: enabling breeding for radiation use e..:

Furbank, Robert T. ; Jimenez-Berni, Jose A. ; George-Jaeggli, Barbara..
The New Phytologist. 223 (2019) 4 - p. 1714-1727 , 2019

Link: https://www.jstor.org/st..

11

A Weakly Supervised Deep Learning Framework for Sorghum Hea..:

Ghosal, Sambuddha ; Zheng, Bangyou ; Chapman, Scott C....
Plant Phenomics. 2019 (2019) - p. , 2019

Link: https://doi.org/10.34133..

12

Editorial: Building and Delivering Real-World, Integrated S..:

Newlands, Nathaniel K. ; Porcelli, Tracy A. ; Potgieter, Andries B....
Frontiers in Environmental Science. 7 (2019) - p. , 2019

Link: https://doi.org/10.3389/..

13

Field crop phenomics: enabling breeding for radiation use e..:

Furbank, Robert T. ; Jimenez‐Berni, Jose A. ; George‐Jaeggli, Barbara..
New Phytologist. 223 (2019) 4 - p. 1714-1727 , 2019

Link: https://doi.org/10.1111/..

14

Integrating satellite and climate data to predict wheat yie..:

Cai, Yaping ; Guan, Kaiyu ; Lobell, David...
Agricultural and Forest Meteorology. 274 (2019) - p. 144-159 , 2019

Link: https://doi.org/10.1016/..

15

Aerial Imagery Analysis – Quantifying Appearance and Number..:

Guo, Wei ; Zheng, Bangyou ; Potgieter, Andries B....
Frontiers in Plant Science. 9 (2018) - p. , 2018

Link: https://doi.org/10.3389/..