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Effect of Crop Establishment and Weed Control Method on Productivity of Transplanted aman Rice
Mohammad Ali,Md. Shahidul Haque Bir,Md. Habibur Rahman,Sultana Kaniz Ayesha,Aminul Hoque,Md. Harun-Ar-Rashid,Md. Rashidul Islam,박기웅 한국잔디학회 2018 Weed & Turfgrass Science Vol.7 No.2
This experiment was conducted to find the most suitable crop establishment method and weed management practices for transplanted aman rice in Bangladesh. Rice variety Bangladesh Rice Research Institute (BRRI) dhan44 was used as planting materials where three crop establishment methods (T1: direct wet seeding by drum seeder; T2: hand broadcasting; T3: transplanting) and four weeding options (W1: Hand weeding (HW); W2: BRRI weeder+HW; W3: Herbicide+HW; and W4: no weeding) were tested. Among the crop establishment methods, the highest grain yield (5.12 t ha-1) was obtained with the T3, while the highest benefit cost ratio (BCR) of 2.08 was found in T2. In case of the weed management method, W1 showed superior results on the plant density/m2 (139.66) at 60 days after transplanting (DAT), grain yield (4.97 t ha-1), and BCR (2.03). On the other hand, the highest plant dry matter (36.20 g) at 60 DAT and the highest yield (6.10 t ha-1) were obtained in a T3W1 combination. The results of this study show that the productivity of rice during aman season could be most significantly increased with the use of transplanting (T3) alone, hand weeding (W1) alone, or a combination of the two methods (T3W1).
Effect of Crop Establishment and Weed Control Method on Productivity of Transplanted aman Rice
Ali, Mohammad,Haque Bir, Md. Shahidul,Rahman, Md. Habibur,Ayesha, Sultana Kaniz,Hoque, Aminul,Harun-Ar-Rashid, Md.,Islam, Md. Rashidul,Park, Kee Woong The Korean Society of Weed ScienceThe Turfgrass So 2018 Weed & Turfgrass Science Vol.7 No.2
This experiment was conducted to find the most suitable crop establishment method and weed management practices for transplanted aman rice in Bangladesh. Rice variety Bangladesh Rice Research Institute (BRRI) dhan44 was used as planting materials where three crop establishment methods ($T_1$: direct wet seeding by drum seeder; $T_2$: hand broadcasting; $T_3$: transplanting) and four weeding options ($W_1$: Hand weeding (HW); $W_2$: BRRI weeder+HW; $W_3$: Herbicide+HW; and $W_4$: no weeding) were tested. Among the crop establishment methods, the highest grain yield ($5.12t\;ha^{-1}$) was obtained with the $T_3$, while the highest benefit cost ratio (BCR) of 2.08 was found in $T_2$. In case of the weed management method, $W_1$ showed superior results on the plant $density/m^2$ (139.66) at 60 days after transplanting (DAT), grain yield ($4.97t\;ha^{-1}$), and BCR (2.03). On the other hand, the highest plant dry matter (36.20 g) at 60 DAT and the highest yield ($6.10t\;ha^{-1}$) were obtained in a $T_3W_1$ combination. The results of this study show that the productivity of rice during aman season could be most significantly increased with the use of transplanting ($T_3$) alone, hand weeding ($W_1$) alone, or a combination of the two methods ($T_3W_1$).
A 7-DoF Upper Limb Exoskeleton Robot Control Using a New Robust Hybrid Controller
Mehran Rahmani,Mohammad Habibur Rahman,Jawhar Ghommam 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.4
This article describes a novel robust hybrid control of a 7-DoF upper limb exoskeleton robot. Insensivitycan be taken into consideration as the important feature of sliding mode controllers, which is merely valid in thesliding phase. In order to improve controller performance by eliminating or minimizing the time to reach thesliding phase, a sliding surface design can be designed appropriately. In this study, a new sliding mode controlleris designed to achieve high performance, which is robust against external disturbances. PID controllers have beenwidely used in robotic systems since high trajectory can be one of the most important advantages of this controller. Therefore, by combining a new sliding mode controller and a conventional PID controller, a novel hybrid controlleris proposed which has excellent performance. Simulation results demonstrate the effectiveness of the proposedcontrol method.
Adaptive Neural Network Fast Fractional Sliding Mode Control of a 7-DOF Exoskeleton Robot
Mehran Rahmani,Mohammad Habibur Rahman 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.1
To rehabilitate individuals with impaired upper limb (UL) functions due to neurological disorders, this research focuses on trajectory tracking control (representing passive rehabilitation exercise) of a 7 DOFs exoskeleton robot named ETS- ARSE. It is a redundant type of robotic manipulator having a very complex structure which is designed based on human UL joint articulations. The exoskeleton is constantly encountered with external disturbances and unknown dynamics such as friction forces, and backlash which is hard to model. Moreover, this type of robot needs to deal with the unknown dynamics of a wide range of subjects with different degrees of UL impairments. Therefore, to deal with this modeling uncertainty, in this paper we propose a novel adaptive neural network fast fractional integral terminal sliding mode control (ANFFITSMC) approach to maneuver the ETS-MARSE to provide passive arm movement therapy. To address the chattering phenomena which are observed in the fast fractional integral terminal sliding mode control (FFITSMC), a new adaptive radial basis function neural network (ARBFN) is incorporated with the FFITSMC. The Lyapunov theory is used in order to prove the stability of the proposed controller. Simulation results validated the efficient performance of the ANFFITSMC in terms of chattering reduction and trajectory tracking.