| 6 | Machine learning for weed–plant discrimination in agriculture 5.0:An in-depth review显示文摘Agriculture 5.0 is an emerging concept where sensors,big data,Internet-of-Things(IoT),robots,and Artificial In-telligence(AI)are used for agricultural purposes.Different from Agriculture 4.0,robots and AI become the focus of the implementation in Agriculture 5.0.One of the applications of Agriculture 5.0 is weed management where robots are used to discriminate weeds from the crops or plants so that proper action can be performed to remove the weeds.This paper discusses an in-depth review of Machine Learning(ML)techniques used for discriminating weeds from crops or plants.We specifically present a detailed explanation of five steps required in using ML algorithms to distinguish between weeds and plants. | Filbert H.Juwono W.K.Wong Seema Verma Neha Shekhawat Basil Andy Lease Catur Apriono | 2023 | Artificial Intelligence in Agriculture2023，，4： | 0 |
| 7 | Experimental study of the effect of slotted blades on the Savonius wind turbine performance显示文摘This study investigates the effect of Reynolds number on the performance of Savonius wind turbine with slotted blades.The turbine performance investigation was based on the torque coefficient(Ct),power coefficient(Cp),and tip speed ratio(TSR).The experiment used two number of blade configuration,blade overlap ratio of 10%,12.5%and 20%,slotted position of 15%,20%,25%and 35%,and also slotted gap width of 3 mm,5 mm,7 mm,and 9 mm.The wind speed carried out in this experiment are 5.94 m/s,6.46 m/s,6.99 m/s,and 7.27 m/s,which are generated from the fan blowers as a wind source.The Savonius turbine with 10%overlap ratio shows the best performance.The highest Cp obtained is 0.138 by the variation of a 3 mm gap with Re of 1.44×10^(4) and 0.526 TSR. | Dominicus Danardono Dwi Prija Tjahjana Zainal Arifin Suyitno Suyitno Wibawa Endra Juwana Aditya Rio Prabowo Catur Harsito | 2021 | Theoretical & Applied Mechanics Letters2021，11，3： | 0 |
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