| Optimization of Sugarcane Harvest using Remote Sensing |
| Paper ID : 1112-SMPR |
| Authors: |
|
Mostafa Rahimi Jamnani1, Abdolmajid Liaghat2, Farhad Mirzaei *3 1Graduate student of Irrigation and Drainage, Department of Irrigation and Reclamation Eng., College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran 2Professor, Department of Irrigation and Reclamation Eng., College of Agriculture and Natural Resources, University of Tehran, P. O. Box 4111, Karaj 31587-77871, Iran 3Associate professor, Department of Irrigation and Reclamation Eng., College of Agriculture and Natural Resources, University of Tehran, P. O. Box 4111, Karaj 31587-77871, Iran |
| Abstract: |
| During harvest season knowing of stem sucrose percentage of sugarcanes helps farmers to achieve the best time to harvest their fields. Harvesting of each farm is determined based on the amount of sucrose percentage in the sugarcane stem. In sugarcane agro-industries, during the harvest season, the percentage of sucrose content in the juice (Pol percentage) is measured by sampling from representative sugarcane farms weekly. Pol sampling method is destructive which are not represent the entire surface of a farm moreover due to high number of farms they cost time and labour. The aim of this paper is to find an optimal model for estimating Pol percentage for four different sugarcane variety using satellite vegetation indices and also obtaining a zoning map of sugarcane lands on different dates for optimal harvesting planning for Imam Khomeini sugarcane agro-industry. Results showed that compared with NDVI and GVI, GNDVI represent higher correlation with pol percentage (R2=0.885). The optimum value of GNDVI obtained between 0.5 and 0.55 representing the areas with highest sucrose concentration which means that ready to harvest areas. Zone maps also shows that central areas of farms ripened (reaching to maximum sugar content) sooner than sideways. Harvesting based on remote sensing increases the sugar content of the harvested sugarcane stem, and improves sugar productivity. |
| Keywords: |
| Vegetation Indices, Sucrose juice, Pol percentage, NDVI, GNDVI |
| Status : Conditional Accept (Poster) |
