Applications of video image analysis in agriculture
| MSI01P3550 | |
| Moutia, Y. Mangar, M. Teeluck, M. Sakurdeep, S. Autrey, L. J. C. Saumtally, S. | |
| Applications of video image analysis in agriculture | |
| Lalouette, J. A.; Bachraz, D. Y. (eds), Proceedings of the Fifth Annual Meeting of Agricultural Scientist, University of Mauritius, Réduit, Mauritius, 3-4 May 2001 | |
| Book chapter | |
| 2003 | |
| p. 9-21 | |
| Réduit, Food and Agricultural Research Council (FARC) | |
| En | |
| En | |
| The acquisition of a video image analyser (VIA) paved the way to the development of numerous applications in the field of plant pathology as well as in other fields. The equipment was used to develop a reliable method for evaluating the percentage leaf infection by the sugar cane common rust pathogen (Puccinia melanocephala). This had previously been performed by visual examination with a degree of human subjectivity. In the same field, the measurement of uredospores of the rust pathogen allowed its spore size distribution to be rapidly determined with greater accuracy than with the use of a micrometer scale. In plant breeding, pollen grains were measured to test whether size was related to fertility. In irrigation, losses due to wind drift under a centre pivot irrigation system were estimated by measuring the size of droplets collected on water sensitive paper. In sugarcane technology, the measurement of sugar crystals at monthly intervals was carried out for several sugar estates to verify whether their sieves were performing well or required maintenance. For all these applications, the use of the VIA not only proved to be fast and reliable but also more objective. | |
| Common rust Puccinia melanocephala Leaf infection Spore size Common rust Pollen grains Irrigation droplets Sugar crystals Video image analysis | |
| Mauritius | |
| Computer and electronic systems | |
| Video image analysis | |
| 2001-04-27 | |
| En | |
| CAT | |
| PATH PHYS ST IRRIG |