Agrivision: Development of a system for low cost remotely managed, automated crop stress monitoring and detection
Project (past)
| Project dates | 01 Sep 2014 to end of 31 Aug 2017 |
|---|---|
| Project number | S5368 |
| 5368 | |
| Department | Plant Biology and Crop Science (PBCS) |
Outputs
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Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers
A - Papers appearing in refereed journals
Pantazi, X., Dimitrios, M., Oberti, R., West, J. S., Mouazen, A. and Bochtis, D. 2017. Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers. Precision Agriculture. 18 (3), p. 383–393. https://doi.org/10.1007/s11119-017-9507-8
Novel technologies for the detection of Fusarium head blight disease and airborne inoculum
A - Papers appearing in refereed journals
West, J. S., Canning, G., Perryman, S. A. M. and King, K. M. 2017. Novel technologies for the detection of Fusarium head blight disease and airborne inoculum. Tropical Plant Pathology. 42 (3), pp. 203-209. https://doi.org/10.1007/s40858-017-0138-4
Optical sensing of crop diseases for phenotyping and early detection
C2 - Non-edited contributions to conferences
West, J. S. 2015. Optical sensing of crop diseases for phenotyping and early detection. Abstracts Workshop on Advances and Challenges of Phenotyping Biotic and Abiotic Stress: from Lab to Field, Sheffield, 12-13 January 2015 .