Literature DB >> 32480553

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring.

Nicolas Virlet1, Kasra Sabermanesh1, Pouria Sadeghi-Tehran1, Malcolm J Hawkesford1.   

Abstract

Current approaches to field phenotyping are laborious or permit the use of only a few sensors at a time. In an effort to overcome this, a fully automated robotic field phenotyping platform with a dedicated sensor array that may be accurately positioned in three dimensions and mounted on fixed rails has been established, to facilitate continual and high-throughput monitoring of crop performance. Employed sensors comprise of high-resolution visible, chlorophyll fluorescence and thermal infrared cameras, two hyperspectral imagers and dual 3D laser scanners. The sensor array facilitates specific growth measurements and identification of key growth stages with dense temporal and spectral resolution. Together, this platform produces a detailed description of canopy development across the crops entire lifecycle, with a high-degree of accuracy and reproducibility.

Entities:  

Year:  2016        PMID: 32480553     DOI: 10.1071/FP16163

Source DB:  PubMed          Journal:  Funct Plant Biol        ISSN: 1445-4416            Impact factor:   3.101


  24 in total

1.  Estimation of maize plant height and leaf area index dynamics using an unmanned aerial vehicle with oblique and nadir photography.

Authors:  Yingpu Che; Qing Wang; Ziwen Xie; Long Zhou; Shuangwei Li; Fang Hui; Xiqing Wang; Baoguo Li; Yuntao Ma
Journal:  Ann Bot       Date:  2020-09-14       Impact factor: 4.357

Review 2.  Nitrogen use efficiency (NUE): elucidated mechanisms, mapped genes and gene networks in maize (Zea mays L.).

Authors:  Shabir H Wani; Roshni Vijayan; Mukesh Choudhary; Anuj Kumar; Abbu Zaid; Vishal Singh; Pardeep Kumar; Jeshima Khan Yasin
Journal:  Physiol Mol Biol Plants       Date:  2021-12-22

3.  Wild emmer introgression alters root-to-shoot growth dynamics in durum wheat in response to water stress.

Authors:  Harel Bacher; Feiyu Zhu; Tian Gao; Kan Liu; Balpreet K Dhatt; Tala Awada; Chi Zhang; Assaf Distelfeld; Hongfeng Yu; Zvi Peleg; Harkamal Walia
Journal:  Plant Physiol       Date:  2021-11-03       Impact factor: 8.005

4.  Technical workflows for hyperspectral plant image assessment and processing on the greenhouse and laboratory scale.

Authors:  Stefan Paulus; Anne-Katrin Mahlein
Journal:  Gigascience       Date:  2020-08-01       Impact factor: 6.524

Review 5.  Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques.

Authors:  Xi Zhang; Yi Man; Xiaohong Zhuang; Jinbo Shen; Yi Zhang; Yaning Cui; Meng Yu; Jingjing Xing; Guangchao Wang; Na Lian; Zijian Hu; Lingyu Ma; Weiwei Shen; Shunyao Yang; Huimin Xu; Jiahui Bian; Yanping Jing; Xiaojuan Li; Ruili Li; Tonglin Mao; Yuling Jiao; Haiyun Ren; Jinxing Lin
Journal:  Sci China Life Sci       Date:  2021-03-12       Impact factor: 6.038

6.  Land-based crop phenotyping by image analysis: consistent canopy characterization from inconsistent field illumination.

Authors:  Joshua Chopin; Pankaj Kumar; Stanley J Miklavcic
Journal:  Plant Methods       Date:  2018-05-26       Impact factor: 4.993

Review 7.  Review: Application of Artificial Intelligence in Phenomics.

Authors:  Shona Nabwire; Hyun-Kwon Suh; Moon S Kim; Insuck Baek; Byoung-Kwan Cho
Journal:  Sensors (Basel)       Date:  2021-06-25       Impact factor: 3.576

Review 8.  Robotic Technologies for High-Throughput Plant Phenotyping: Contemporary Reviews and Future Perspectives.

Authors:  Abbas Atefi; Yufeng Ge; Santosh Pitla; James Schnable
Journal:  Front Plant Sci       Date:  2021-06-25       Impact factor: 5.753

9.  PhenoCams for Field Phenotyping: Using Very High Temporal Resolution Digital Repeated Photography to Investigate Interactions of Growth, Phenology, and Harvest Traits.

Authors:  Helge Aasen; Norbert Kirchgessner; Achim Walter; Frank Liebisch
Journal:  Front Plant Sci       Date:  2020-06-18       Impact factor: 6.627

Review 10.  Photosynthesis in a Changing Global Climate: Scaling Up and Scaling Down in Crops.

Authors:  Marouane Baslam; Toshiaki Mitsui; Michael Hodges; Eckart Priesack; Matthew T Herritt; Iker Aranjuelo; Álvaro Sanz-Sáez
Journal:  Front Plant Sci       Date:  2020-07-06       Impact factor: 5.753

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