Mr Jason Brook

Mr Jason Brook

Technician - National Plant Phenomics Centre

IBERS

Contact Details

Implement new experimental routines by programming plant treatments, including watering, nutrition and specification of appropriate types and times of image acquisition. Registering plants, loading and unloading on the various platforms. Assist with the development of hardware and software to implement programs for the automated recording environmental parameters within the Smarthouse environment. Troubleshoot, maintain, repair and testing instrumentation, including mechanical systems, computers and software of the various platforms, this also includes the Smarthouse itself.

Data, image and environmental analysis and packaging up ready for the end user. I am responsible for publicising the facility via social media (Facebook and Twitter), the design and updating of NPPC website, the creation of video and assist in showing visitors around the facility. The videos have been used extensively by outside broadcasters.

National Plant Phenomics Centre: developing methods for high-throughput plant phenotyping.

Implement new experimental routines by programming plant treatments, including watering, nutrition and specification of appropriate types and times of image acquisition. Registering plants, loading and unloading on the various high-throughput plant phenotyping platforms. Assist with the development of hardware and software to implement programs for the automated recording environmental parameters within the Smarthouse environment.

specializing in autonomous environmental monitoring and precision agri-tech, integrating UAV remote sensing, environmental sensors and automated data systems. His work spans high-throughput phenotyping, drone-based LiDAR and multispectral analytics, and LoRaWAN sensor networks for real-time landscape intelligence. He develops scalable tools linking controlled-environment research with field-scale monitoring to support sustainable agriculture, habitat assessment and data-driven land management through industry and academic collaboration.

Photothermal Integration of Multi-Spectral Imaging Data via UAS Improves Prediction of Target Traits in Oat Breeding Trials. / Evershed, David; Brook, Jason; Cowan, Sandy et al.
In: Agronomy, Vol. 15, No. 7, 1583, 28.06.2025.

Research output: Contribution to journalArticlepeer-review

Elucidating drought responsive networks in tef (Eragrostis tef) using phenomic and metabolomic approaches. / Girija, Aiswarya; Han, Jiwan; Corke, Fiona et al.
In: Physiologia Plantarum, Vol. 174, No. 1, e13597, 10.01.2022.

Research output: Contribution to journalArticlepeer-review

Genetic architecture of variation in Arabidopsis thaliana rosettes. / Morón-garcía, Odín; Garzón-martínez, Gina A.; Martínez-martín, M. J. Pilar et al.
In: PLoS ONE, Vol. 17, No. 2, e0263985, 16.02.2022.

Research output: Contribution to journalArticlepeer-review

UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques. / Impollonia, G; Croci, M; Ferrarini, A et al.
In: Remote Sensing, Vol. 14, No. 12, 2927, 19.06.2022.

Research output: Contribution to journalArticlepeer-review

Semi-Automated Field Plot Segmentation From UAS Imagery for Experimental Agriculture. / Robb, Ciaran; Hardy, Andy; Doonan, John H. et al.
In: Frontiers in Plant Science, Vol. 11, 591886, 09.12.2020.

Research output: Contribution to journalArticlepeer-review

More publications on the Research Portal