Orange Recognition on Tree Using Image Processing Method Based on Lighting Density Pattern
Journal Title: Journal of Agricultural Machinery - Year 2015, Vol 5, Issue 1
Abstract
Within the last few years, a new tendency has been created towards robotic harvesting of oranges and some of citrus fruits. The first step in robotic harvesting is accurate recognition and positioning of fruits. Detection through image processing by color cameras and computer is currently the most common method. Obviously, a harvesting robot faces with natural conditions and, therefore, detection must be done in various light conditions and environments. In this study, it was attempted to provide a suitable algorithm for recognizing the orange fruits on tree. In order to evaluate the proposed algorithm, 500 images were taken in different conditions of canopy, lighting and the distance to the tree. The algorithm included sub-routines for optimization, segmentation, size filtering, separation of fruits based on lighting density method and coordinates determination. In this study, MLP neural network (with 3 hidden layers) was used for segmentation that was found to be successful with an accuracy of 88.2% in correct detection. As there exist a high percentage of the clustered oranges in images, any algorithm aiming to detect oranges on the trees successfully should offer a solution to separate these oranges first. A new method based on the light and shade density method was applied and evaluated in this research. Finally, the accuracies for differentiation and recognition were obtained to be 89.5% and 88.2%, respectively.
Authors and Affiliations
H. R. Ahmadi,J. Amiri Parian,
Keywords
Related Articles
- EP ID EP717742
- DOI -
- Views 49
- Downloads 0
Prediction of Draft Force and Energy Requirement for Subsoiling Operation with a Fuzzy Logic Approach
In this study, a knowledge-based fuzzy logic system was developed on experimental data and used to predict the draft force and energy requirement of tillage operation. In comparison with traditional methods, the fuzzy lo...
Development and field evaluation of an intercropping machine for corn and bean
IntroductionMaximum efficiency of natural resources, reduced risk of production, improved fertility of soil, and increased production per area enjoyment have made intercropping a preferential practice compared with cropp...
Comparison of Normalized Difference Vegetation Index (NDVI) of Potato from Greenseeker and Landsat Satellite
Introduction Field management is a part of precision agriculture (PA) which has positive environmental and economic effects on quality of plant productions. Nitrogen needs of plant, depends on climate conditions and grow...
Identifying and Prioritizing the Effective Parameters on Lack of Timeliness of Operations of Sugarcane Production using Analytical Hierarchy Process (AHP)
Introduction Planning and scheduling of farming mechanized operations is very important. If the operation is not performed on time, yield will be reduced. Also for sugarcane, any delay in crop planting and harvesting ope...
Investigation of Compost Fertilizer Granulation Parameters Using Response Surface Methodology
Nowadays compost fertilizers are suitable alternative to chemical fertilizers, due to the threats for human health and agriculture products. The most important problems for applying the compost fertilizer in the farm are...