Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum

Author:

Young Sierra N.ORCID,Kayacan ErkanORCID,Peschel Joshua M.ORCID

Funder

Advanced Research Projects Agency - Energy

Air Force Office of Scientific Research

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Reference55 articles.

1. Akdeniz, H., Yilmaz, I., Bozkurt, M., & Keskin, B. (2006). The effect of sewage sludge and nitrogen applications on grain sorghum grown (Sorghum vulgare L.) in Van-Turkey. Polish Journal of Environmental Studies, 15(1), 19–26.

2. Andrade-Sanchez, P., Gore, M. A., Heun, J. T., Thorp, K. R., Carmo-Silva, A. E., French, A. N., et al. (2014). Development and evaluation of a field-based highthroughput phenotyping platform. Functional Plant Biology, 41, 68–79.

3. Araus, J. L., & Cairns, J. E. (2014). Field high-throughput phenotyping: The new crop breeding frontier. Trends in Plant Science, 19(1), 52–61.

4. Baharav, T., Bariya, M., & Zakhor, A. (2017). Computing height and width of in situ sorghum plants using 2.5d infrared images. In IS&T international symposium on electronic imaging computational imaging XV (pp. 1–14). Springfield, VA, USA: Society for Imaging Science & Technology.

5. Banan, D., Paul, R. E., Feldman, M., Holmes, M., Schlake, H., Baxter, I., et al. (2018). High-fidelity detection of crop biomass quantitative trait loci from low-cost imaging in the field. Plant Direct, 2(2), 1–8.

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