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Information Journal Paper

Title

PREDICTION OF LATERAL SURFACE, VOLUME AND SPHERICITY OF POMEGRANATE USING MLP ARTIFICIAL NEURAL NETWORK

Pages

  292-301

Abstract

 Introduction: Fast and accurate determination of geometrical properties of agricultural products has many applications in agricultural operations like planting, cultivating, harvesting and post-harvesting. Calculations related to storing, shipping and storage-coating materials as well as peeling time and surface-microbial concentrations are some applications of estimating product VOLUME and SURFACE AREA. SPHERICITY is also a parameter by which the shape differences between fruits, vegetables, grains and seeds can be quantified. This parameter is important in grading systems and inspecting rolling capability of agricultural products. Bayram presented a new dimensional method and equation to calculate the SPHERICITY of certain shapesand some granular food materials (Bayram, 2005). …

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    APA: Copy

    ROHANI, A., SAEDI, S.I., GERAILUE, H., & AGHKHANI, M.H.. (2016). PREDICTION OF LATERAL SURFACE, VOLUME AND SPHERICITY OF POMEGRANATE USING MLP ARTIFICIAL NEURAL NETWORK. JOURNAL OF AGRICULTURAL MACHINERY, 5(2), 292-301. SID. https://sid.ir/paper/201268/en

    Vancouver: Copy

    ROHANI A., SAEDI S.I., GERAILUE H., AGHKHANI M.H.. PREDICTION OF LATERAL SURFACE, VOLUME AND SPHERICITY OF POMEGRANATE USING MLP ARTIFICIAL NEURAL NETWORK. JOURNAL OF AGRICULTURAL MACHINERY[Internet]. 2016;5(2):292-301. Available from: https://sid.ir/paper/201268/en

    IEEE: Copy

    A. ROHANI, S.I. SAEDI, H. GERAILUE, and M.H. AGHKHANI, “PREDICTION OF LATERAL SURFACE, VOLUME AND SPHERICITY OF POMEGRANATE USING MLP ARTIFICIAL NEURAL NETWORK,” JOURNAL OF AGRICULTURAL MACHINERY, vol. 5, no. 2, pp. 292–301, 2016, [Online]. Available: https://sid.ir/paper/201268/en

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