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Information Journal Paper

Title

THE DESIGN, FABRICATION AND EVALUATION OF EGG WEIGHING DEVICE USING CAPACITIVE SENSOR AND NEURAL NETWORKS

Pages

  261-269

Abstract

 Introduction: Grading agricultural products always has a particular important position for submission to domestic and overseas markets. The grading causes more profitable product ranges and customer satisfaction. Grading treatment is carried out based on various parameters such as color, ripeness level, dimensions and weight. Product weight is one of the most effective parameters in grading operation. Egg weight is directly related to the smallness and coarseness of EGGS. In egg grading, the largeness value is very important in marketing. This research aimed to design, fabricate and evaluate the egg weighing system based on its dielectric properties. …

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  • Cite

    APA: Copy

    KHALILI, S., MOHAMMADI ALASTI, B., & ABBASGHOLIPOUR, M.. (2016). THE DESIGN, FABRICATION AND EVALUATION OF EGG WEIGHING DEVICE USING CAPACITIVE SENSOR AND NEURAL NETWORKS. JOURNAL OF AGRICULTURAL MACHINERY, 5(2), 261-269. SID. https://sid.ir/paper/201275/en

    Vancouver: Copy

    KHALILI S., MOHAMMADI ALASTI B., ABBASGHOLIPOUR M.. THE DESIGN, FABRICATION AND EVALUATION OF EGG WEIGHING DEVICE USING CAPACITIVE SENSOR AND NEURAL NETWORKS. JOURNAL OF AGRICULTURAL MACHINERY[Internet]. 2016;5(2):261-269. Available from: https://sid.ir/paper/201275/en

    IEEE: Copy

    S. KHALILI, B. MOHAMMADI ALASTI, and M. ABBASGHOLIPOUR, “THE DESIGN, FABRICATION AND EVALUATION OF EGG WEIGHING DEVICE USING CAPACITIVE SENSOR AND NEURAL NETWORKS,” JOURNAL OF AGRICULTURAL MACHINERY, vol. 5, no. 2, pp. 261–269, 2016, [Online]. Available: https://sid.ir/paper/201275/en

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