TOMATO GRADING SYSTEM USING MACHINE VISION TECHNOLOGY AND NEURO-FUZZY NETWORKS (ANFIS)

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IZADI H.; KAMGAR S.; RAOUFAT M.H.

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Journal Paper

Paper Information

Journal: JOURNAL OF AGRICULTURAL MACHINERY Year:2016 | Volume:6 | Issue:1 Page(s): 49-59

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Information Journal Paper

Title

TOMATO GRADING SYSTEM USING MACHINE VISION TECHNOLOGY AND NEURO-FUZZY NETWORKS (ANFIS)

Author(s)

IZADI H. | KAMGAR S. | RAOUFAT M.H. | Issue Writer Certificate

Keywords

CLASSIFYINGQ2

HEALTHQ2

RIPENESSQ2

SIZEQ2

SORTINGQ2

Abstract

Introduction: The quality of agricultural products is associated with their color, SIZE and HEALTH, grading of fruits is regarded as an important step in post-harvest processing. In most cases, manual SORTING inspections depends on available manpower, time consuming and their accuracy could not be guaranteed. Machine Vision is known to be a useful tool for external features measurement (e.g. SIZE, shape, color and defects) and in recent century, Machine Vision technology has been used for shape SORTING.....

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APA: Copy

IZADI, H., KAMGAR, S., & RAOUFAT, M.H.. (2016). TOMATO GRADING SYSTEM USING MACHINE VISION TECHNOLOGY AND NEURO-FUZZY NETWORKS (ANFIS). JOURNAL OF AGRICULTURAL MACHINERY, 6(1), 49-59. SID. https://sid.ir/paper/201436/en

Vancouver: Copy

IZADI H., KAMGAR S., RAOUFAT M.H.. TOMATO GRADING SYSTEM USING MACHINE VISION TECHNOLOGY AND NEURO-FUZZY NETWORKS (ANFIS). JOURNAL OF AGRICULTURAL MACHINERY[Internet]. 2016;6(1):49-59. Available from: https://sid.ir/paper/201436/en

IEEE: Copy

H. IZADI, S. KAMGAR, and M.H. RAOUFAT, “TOMATO GRADING SYSTEM USING MACHINE VISION TECHNOLOGY AND NEURO-FUZZY NETWORKS (ANFIS),” JOURNAL OF AGRICULTURAL MACHINERY, vol. 6, no. 1, pp. 49–59, 2016, [Online]. Available: https://sid.ir/paper/201436/en

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