💰 Muhammad IRFAN – 道木研究室

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Try SoundCloud Go+. Muhammad Irfan's avatar. Muhammad Irfan. Tracks. Feels Like U (Future House Remix). Mastarrja. Feels Like U (Future House Remix). Reposted by Muhammad Irfan. Now playing. iMeiden - New World


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‪Awais Muhammad‬ - ‪Google Scholar‬
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Elastic wave propagation through unsaturated soils concerning early warning of rain-induced landslides. 降雨による斜面崩壊の早期警報のための不飽和土内の弾性波速度の研究. Muhammad Irfan. pdf. pdf. pdf


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当サイトの機能を最大限に活用するにはJavaScriptを有効にしてください。 Mohammed Irfan. アーティスト情報を編集 · Mohammed Irfan- Discogs. バリエーション: すべてを閲覧中 | Mohammed Irfan · Mohammad Irfan, Mohd. Irfan. [a]


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Imran, Muhammad/ Mehmood, Sajid/ Irfan, Muhammad; 著者をお気に入りに登録; LAP LAMBERT ACADEMIC PUBLISHING（発売）. 提携先の海外書籍


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フォロワー人、フォロー中人、投稿件 ― Irfan Muhammad(@​irfanpopish)のInstagramの写真と動画をチェックしよう


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フォロー. Awais Muhammad 8, Earthquake prediction: a global review and local research​. MA Mubarak, MS Riaz, M Awais, Z Jilani, N Ahmad, M Irfan, F Javed, Proc


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Crop growth can be estimated using a mathematical model to determine the state of the plant during the growth period. The objective of this study was to construct a crop growth prediction model for vegetative development phase. AB - Plant factory is an extensive cultivation that produce vegetable under a controllable environment.{/INSERTKEYS}{/PARAGRAPH} Three crop height observation data set S1, S1, S3 , were used to develop a mathematical model and the rest dataset was for model validation and evaluation. As a result, Determination coefficient R2 of the Linear model was 0. The activity covers the development of mathematical model and model validation using Chili Capsicum frutescens as a preliminary experiment. However, the application of a crop growth model in plant factory has several challenges because every plant has a specific model to be observed. The model was validated and evaluated using the Root Mean Squared Error RMSE and Mean Absolute Percentage Error MAPE. {PARAGRAPH}{INSERTKEYS}The concept of Precision Agriculture has been introduced to enhance the plant factory production by monitoring of crop growth intensively. Linear and polynomial model were applied to obtain the appropriate prediction. Four samples S1, S2, S3, S4 of Chili with age of five weeks after planting were used and measured daily for 30 days to get the actual height cm.