Quality Identification: Fruit Grading System

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Monali Chinchamalatpure
Keyword(s):  
Image Processing ◽  
Economic Development ◽  
Grading System ◽  
Image Processing Techniques ◽  
Smart Farming ◽  
Fruit Grading ◽  
Cost Efficient ◽  
Time Required ◽  
Processing Techniques

In India, agriculture plays a major role in the economic development. Agriculture must be able to produce fruit of better quality and grow at a faster rate. With the use of different image processing techniques, improvement in agriculture field for quality identification, sorting the fruits with different quality, irrigation becomes feasible. Major parameters considered are reduction in the time required and cost efficient, using Image processing. In this proposal, we have provided a technique to address the challenge of fruit grading using image processing techniques for smart farming.

Image Processing Techniques Aiding Smart Agriculture

2020 ◽  
pp. 23-48
Author(s):  
Aspira S. Tripathy ◽  
Deepak Kumar Sharma
Keyword(s):  
Image Processing ◽  
Development Spectrum ◽  
Comprehensive Overview ◽  
Major Topic ◽  
Image Processing Techniques ◽  
Agriculture Sector ◽  
Smart Farming ◽  
Smart Agriculture ◽  
Processing Techniques ◽  
Increasing Load

With the ever-increasing load of satiating the agricultural demands, the transition of the orthodox methods into smart ones is inevitable. The agriculture sector for long has served as a momentous source of livelihood for many globally. It is arguably a major topic for nations of the development spectrum, contributing towards their export earnings and aiding in their GDP assessment. Thus, it is quite conspicuous that nations would work towards its expansion. In congruence, the burgeoning population and its demands have posed a threat to the environment due to extensive exploitation of resources, which in turn is escalating towards the downfall of the quality and quantity of agricultural produces requiring a 70% increment in the produces by 2050 for sustainability. To combat such hurdles, developed techniques are being employed. Through a survey of existing literature, this chapter provides a comprehensive overview of various image processing means that could come in handy for ameliorating the present scenario and shows their implied extension in the smart farming world.

scholarly journals 3 Implementation of Fruit Grading & Sorting Station Using Digital Image Processing Techniques

2018 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Ghulame Mustafa Abro ◽  
Kundan Kumar
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Conveyor Belt ◽  
Packaging Process ◽  
Image Processing Techniques ◽  
Fruit Grading ◽  
Sorting Station ◽  
Processing Techniques ◽  
Real World Problems

No doubt that today's technology has approximately solved many common as well as complex issues. Engineers and researchers are always in the quest for the best, brief and efficient methods to cope up the real world problems, hence fruit grading and sorting are one of the problems in export/import industry. In this regard industry requires a station that can check the skin of fruit, i.e. an apple whether it has rotten spots on it or not beside this whole procedure this specific station will also check the radius of an apple for sorting it further for packaging process. This whole procedure will be followed by a running conveyor belt, 2 AC plungers and a wooden box in between them, which will have 5 Mega pixel camera mounted on it. The camera will be triggered by a brief algorithm of digital image processing designed on the platform of MATLAB R2015a version and conclude whether the fruit, i.e. an apple is healthy or having some rotten spots on its skin. Once results are shown, then the algorithm will activate the respective plunger for grading and sorting of apples.

scholarly journals 3 Implementation of Fruit Grading & Sorting Station Using Digital Image Processing Techniques

2018 ◽  
Vol 7 (1) ◽  
pp. 6
Author(s):  
Ghulame Mustafa Abro ◽  
Kundan Kumar
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Conveyor Belt ◽  
Packaging Process ◽  
Image Processing Techniques ◽  
Fruit Grading ◽  
Sorting Station ◽  
Processing Techniques ◽  
Real World Problems

No doubt that today's technology has approximately solved many common as well as complex issues. Engineers and researchers are always in the quest for the best, brief and efficient methods to cope up the real world problems, hence fruit grading and sorting are one of the problems in export/import industry. In this regard industry requires a station that can check the skin of fruit, i.e. an apple whether it has rotten spots on it or not beside this whole procedure this specific station will also check the radius of an apple for sorting it further for packaging process. This whole procedure will be followed by a running conveyor belt, 2 AC plungers and a wooden box in between them, which will have 5 Mega pixel camera mounted on it. The camera will be triggered by a brief algorithm of digital image processing designed on the platform of MATLAB R2015a version and conclude whether the fruit, i.e. an apple is healthy or having some rotten spots on its skin. Once results are shown, then the algorithm will activate the respective plunger for grading and sorting of apples.

Three-Dimensional Structure of Rotavirus-Fab Complex

1990 ◽  
Vol 48 (1) ◽  
pp. 238-239
Author(s):  
B.V.V. Prasad ◽  
E. Marietta ◽  
J.W. Burns ◽  
M.K. Estes ◽  
W. Chiu
Keyword(s):  
Image Processing ◽  
Smooth Surface ◽  
Three Dimensional ◽  
Outer Shell ◽  
Dimensional Structure ◽  
Structural Studies ◽  
Cell Penetration ◽  
Electron Cryomicroscopy ◽  
Image Processing Techniques ◽  
Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

2020 ◽  
pp. 967-973
Author(s):  
V. Deepika ◽  
T. Rajasenbagam
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
Soft Tissues ◽  
Tumor Detection ◽  
Tumor Classification ◽  
Normal Brain ◽  
Image Processing Techniques ◽  
Normal Brain Function ◽  
Processing Techniques ◽  
The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

Rice Panicle Blast Detection and Grading Based on Image Processing Techniques

2019 ◽  
Vol 7 (5) ◽  
pp. 165-168 ◽  
Author(s):  
Prabira Kumar Sethy ◽  
Swaraj Kumar Sahu ◽  
Nalini Kanta Barpanda ◽  
Amiya Kumar Rath
Keyword(s):  
Image Processing ◽  
Image Processing Techniques ◽  
Panicle Blast ◽  
Processing Techniques

Identification of Cucumber Leaf Disease using Image Processing Techniques

2018 ◽  
Vol 6 (6) ◽  
pp. 1493-1499
Author(s):  
Shrutika.C.Rampure . ◽  
Dr. Vindhya .P. Malagi ◽  
Dr. Ramesh Babu D.R
Keyword(s):  
Image Processing ◽  
Image Processing Techniques ◽  
Leaf Disease ◽  
Processing Techniques
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