Computer Vision Utilization for Detection of Green House Tomato under Natural Illumination

Journal Title: Journal of Agricultural Machinery - Year 2013, Vol 3, Issue 1

Abstract

Agricultural sector experiences the application of automated systems since two decades ago. These systems are applied to harvest fruits in agriculture. Computer vision is one of the technologies that are most widely used in food industries and agriculture. In this paper, an automated system based on computer vision for harvesting greenhouse tomatoes is presented. A CCD camera takes images from workspace and tomatoes with over 50 percent ripeness are detected through an image processing algorithm. In this research three color spaces including RGB, HSI and YCbCr and three algorithms including threshold recognition, curvature of the image and red/green ratio were used in order to identify the ripe tomatoes from background under natural illumination. The average error of threshold recognition, red/green ratio and curvature of the image algorithms were 11.82%, 10.03% and 7.95% in HSI, RGB and YCbCr color spaces, respectively. Therefore, the YCbCr color space and curvature of the image algorithm were identified as the most suitable for recognizing fruits under natural illumination condition.

Authors and Affiliations

H. Mohamadi-Monavar,R. Alimardani,M. Omid,

Keywords

Related Articles

Effect of Compaction and Soil Moisture on Apparent Electrical Conductivity of Soil and Rolling Resistance of Tractor Tire

Introduction One of the main factors affecting plant growth is soil compaction. More attention should be paid to soil compaction than the past. Soil compaction not only destroys the soil structure, but also leads to a he...

The Effect of Temperature and Drying Method on Drying Time and Color Quality of Mint

Introduction Mint (Mentha spicata L.) cbelongs to the Lamiaceae family, is an herbaceous, perennial, aromatic and medicinal plant that cultivated for its essential oils and spices. Since the essential oil is extracted fr...

Effect of Chitosan Coating on Physical, Mechanical and Chemical Properties of Grapes during Storage

Introduction Grape fruit set its fruits and shortly after planting and due to high nutritious value and excellent food quality has been welcomed by many people in the world, but considering its soft tissue and high softe...

Fusion of Multispectral and Radar Images to Enhance Classification Accuracy and Estimate the Area under Various Crops Cultivation

IntroductionRemote sensing is defined as data acquisition about an object or a phenomenon related to a geographic location without physical. The use of remote sensing data is expanding rapidly. Researchers have always be...

Yield Estimation of Sugar Beet Based on Plant Canopy Using Machine Vision Methods

Crop yield estimation is one of the most important parameters for information and resources management in precision agriculture. This information is employed for optimizing the field inputs for successive cultivations. I...

Download PDF file
  • EP ID EP717682
  • DOI -
  • Views 49
  • Downloads 0

How To Cite

H. Mohamadi-Monavar, R. Alimardani, M. Omid, (2013). Computer Vision Utilization for Detection of Green House Tomato under Natural Illumination. Journal of Agricultural Machinery, 3(1), -. https://europub.co.uk/articles/-A-717682