| A Review of Image Processing Applications in Palm Tree Studies |
| Paper ID : 1257-NICAME1402 |
| Authors: |
|
Sajad Heidari1, Mahdi Keramat-Jahromi *2, Mohammad Amin Nematollahi3, Seyed Mehdi Nassiri4, pouriya rezaie5 1Mechanical Engineering of Biosystems Department, Faculty of Agriculture, Shiraz University, Shiraz, Iran 2Mehanical Engineering of Biosysyems 3Biosystems Engineering Department, College of Agriculture, Shiraz University, Shiraz, Iran 4Department of Biosystems Engineering Shiraz University 5Biosystems Engineering Department, Faculty of Agriculture, Shiraz University, Shiraz, Iran |
| Abstract: |
| Date fruit is an important and valuable economic product that plays an important role in the export development of Middle East countries. Iran is one of the potential regions of the world for the production and export of date fruit, but in recent years, it has been volatile and even has negative growth. Date producers in Palmetum Lands have many challenges and difficulties for example, the need for skilled workers to climb high trees, which is dangerous, laborious, time-consuming and expensive. Moreover, correct management of the grove requires comprehensive and complete information about the water needs of the grove, fast and accurate diagnosis of tree diseases and pests, counting trees, Identification of weeds, correct identification of the gender of the trees for pollination, estimation of harvest time and performance of the grove for marketing. Therefore, it is necessary to use new technologies such as machine vision and robotics to solve these challenges. This article provides a comprehensive review on the use of machine vision algorithms in the mechanization of groves. Using a set of modern technology tools such as drones and robotic systems based on machine vision in solving the basic problems of date production, such as spraying and pollination, identification and counting of trees, smart harvesting, disease and pest detection, weed detection and yield estimation and production efficiency will be discussed. |
| Keywords: |
| Machine vision, Oil palm, Palm Tree, Drone, Image processing |
| Status : Paper Accepted (Oral Presentation) |
