Search Results - (( developing soil control algorithm ) OR ( java evolution optimization algorithm ))
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…The aim of this evolution is to reflect the unseen time overhead incurred by optimal real-time algorithm, represented by LRE-TL, which might hinder the claimed optimality of such algorithms when they are practically implemented. …”
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Conference or Workshop Item -
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Effect of vibration on hydraulic conductivity of riverbank filtration site / Fauzi Baharudin
Published 2022“…The results have shown that the model developed with Scaled Conjugate Gradient (SCG) algorithm provided the best prediction with values for mean squared error (MSE) of 58.59 and R of 0.86. …”
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Thesis -
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IoT Soil Moisture Monitoring and Irrigation System Development
Published 2020“…The system aims to monitor the moisture and properties of soil for plants. At the same time, with a self-sufficient and self-organized irrigation system based on the water-control algorithm. …”
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Proceeding -
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Design, analysis and fabrication of automatic plant watering system
Published 2024“…The main objective of this final year project is to design and implement an Automatic Plant Watering System that utilizes sensor technology and intelligent control algorithms to maintain the ideal moisture levels in the soil. …”
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Student Project -
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IoT Based Smart Greenhouse Monitoring System With Fuzzy Logic
Published 2023“…When the soil moisture falls below a specified threshold, the system automatically activates the water pump, providing adequate irrigation to ensure optimal soil moisture for plant growth. …”
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Undergraduates Project Papers -
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…This information can be processed, analyzed, and transformed into inputs for a decisional algorithm that controls the sprayer nozzle action in real-time. …”
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Smart agriculture: precision farming through sensor-based crop monitoring and control system
Published 2024“…Subsequently, four distinct algorithms are trained with the collected dataset to ascertain the most optimal algorithm for predicting crop growth and harvesting time, resulting in the selection of the Random Forest Regression model, which attains the highest model score of 86%. …”
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Article -
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Design and development of a digging device for harvesting sweet potato
Published 2010“…The soil texture was sandy soil (fine sand 94.53%), and the mean bulk density of soil was 1.44 g-cm-3. …”
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Grid-based remotely sensed hydrodynamic surface runoff model using emissivity coefficient / Jurina Jaafar
Published 2015“…The development of the model strongly depends on the physical based parameters, examples of physical parameters that include roughness Manning’s n, hydraulic conductivity, soil depth, river geometry and the surface land cover. …”
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12
Design and implementation of solar-powered with IoT-Enabled portable irrigation system
Published 2022“…A NodeMCU microcontroller with a Wi-Fi interface and soil moisture, temperature, and humidity sensors are exploited to monitor and control the water pump and build an IoT-based irrigation system. …”
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Article -
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The application of Hyperspectral Remote Sensing Imagery (HRSI) for weed detection analysis in rice fields: a review
Published 2022“…New weed detection technologies have been developed in recent years to increase weed detection speed and accuracy, resolving the contradiction between the goals of enhancing soil health and achieving sufficient weed control for profitable farming. …”
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Article -
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Experimental robotics system in laboratory for agriculture application
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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area
Published 2005“…Even though weeds, diseases, and insect pests were absent, water and nutrients were in abundance, no adverse soil conditions, and that no extreme weather event such as typhoons occurs; the physiological, growth and development performances of rice plants exposed to ambient ozone were found to be significantly (P< 0.05) reduced by AOT40 compared to control rice plants in filtered chamber. …”
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Thesis -
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Decision support system for optimal design and operation of ponds for watershed runoff management
Published 2010“…Understanding how the landuse change influences the river basin hydrology may enable planners to formulate policies to minimize the undesirable effects of land development. The objectives of this study were to assess the impacts of landuse changes on the watershed runoff in a humid tropical river basin and to develop a decision support system based on continuous hydrological simulation integrated with optimization algorithm to determine the optimal ponds locations, sizes and operations for floods control during high flow months and maintain river flow during low flow months. …”
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Thesis
