This research builds a system for identifying the maturity level of areca fruit based on digital image processing using texture and color features through Gray Level Co-Occurrence Matrix (GLCM) Color moments. The initial stage is pre-processing so that it can be processed to next stage, namely feature extraction. Texture extraction was performed (GLCM), correlation value moments, mean used in t...

this experiment was conducted to find the best harvesting time for two olive cultivars dezful and zard in fars province, iran. fruits were harvested in 10 days intervals from 11 september and their quantitative and qualitative characteristics were measured. results indicated that for canning olive, the best harvesting time for dezful cultivar was 23-31 october. at this time, fruits were in yell...

Watermelon [Citrullus lanatus (Thunb.) Matsum. & Nakai] is an important vegetable crop world-wide. Watermelon fruit quality is a complex trait determined by various factors such as sugar content, flesh color and flesh texture. Fruit quality and developmental process of cultivated and wild watermelon are highly different. To systematically understand the molecular basis of these differences, we ...

The computer vision strategies used to recognize a fruit rely on four basic features which characterize the object: intensity, color, shape and texture. This paper proposes an efficient fusion of color and texture features for fruit recognition. The recognition is done by the minimum distance classifier based upon the statistical and co-occurrence features derived from the Wavelet transformed s...

Recognition and matching of litchi fruits are critical steps for litchi harvesting robots to successfully grasp litchi. However, due to the randomness of litchi growth, such as clustered growth with uncertain number of fruits and random occlusion by leaves, branches and other fruits, the recognition and matching of the fruit become a challenge. Therefore, this study firstly defined mature litch...

This work proposes the development of an embedded real-time fruit detection system for future automatic fruit harvesting. The proposed embedded system is based on an ARM Cortex-M4 (STM32F407VGT6) processor and an Omnivision OV7670 color camera. The future goal of this embedded vision system will be to control a robotized arm to automatically select and pick some fruit directly from the tree. Th...

peach genotypes showing notable fruit and tree traits were selected in ardabil and east azarbaijan provinces of iran. genotypes were grafted on seed rootstocks and cultured with 4×4 m spacing. traits such as tree growth habit, flowering, maturity, morphological and qualitative fruit characteristics were described in 15 peach genotypes using ibpgr peach descriptors during the 2005-2007 seasons. ...

this study was carried out to examine the effects of kaolin spray for reducing the adverse effects of high radiation and temperature, especially on fruit sunburn in apple. treatments were four concentration of kaolin (0, 2, 4, and 6%) and two important and commercial apple cultivars in fars province; ‘golden delicious’ and ‘starking delicious’. trees physiological parameters, fruit sunburn and ...

Digital image processing is an emerging tool to predict fruit quality; therefore present study was carried out to develop an image processing technique for investigating the storage life of cantaloupe. Potassium permanganate (KMnO4) impregnated materials were used to prolong the postharvest life of cantaloupe fruit and the effects of these treatments were evaluated by 3 image textural features ...

People perceive roughly constant surface colors despite large changes in illumination. The familiarity of colors of some natural objects might help achieve this feat through direct modulation of the objects' color appearance. Research on memory colors and color appearance has yielded controversial results and due to the employed methods has often confounded perceptual with semantic effects. We ...