Search Results - (( developing soil control algorithm ) OR ( java code classification algorithm ))

  • Showing 1 - 17 results of 17
Refine Results
  1. 1

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
    Get full text
    Get full text
    Monograph
  3. 3

    Effect of vibration on hydraulic conductivity of riverbank filtration site / Fauzi Baharudin by Baharudin, Fauzi

    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. …”
    Get full text
    Get full text
    Thesis
  4. 4

    IoT Soil Moisture Monitoring and Irrigation System Development by Chew, Kim Mey, Syvester Tan, Chiang Wei, Gary Loh, Chee Wyai, Nancy, Bundan, Yiiong, Siew Ping

    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. …”
    Get full text
    Get full text
    Get full text
    Proceeding
  5. 5

    Design, analysis and fabrication of automatic plant watering system by Donny Osmond, Oxana Sumba

    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. …”
    Get full text
    Get full text
    Student Project
  6. 6

    IoT Based Smart Greenhouse Monitoring System With Fuzzy Logic by Nur Ainin Sofiya, Abu Kasim

    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. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  7. 7

    Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant by Morshidi, Malik Arman

    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. …”
    Get full text
    Get full text
    Thesis
  8. 8

    Smart agriculture: precision farming through sensor-based crop monitoring and control system by Mohamad Hakhrani, Asyful Azhim, Abdul Hamid, Syamsul Bahrin

    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%. …”
    Get full text
    Get full text
    Get full text
    Article
  9. 9

    Design and development of a digging device for harvesting sweet potato by Hamid, Md. Akhir

    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. …”
    Get full text
    Get full text
    Thesis
  10. 10
  11. 11
  12. 12

    Grid-based remotely sensed hydrodynamic surface runoff model using emissivity coefficient / Jurina Jaafar by Jaafar, Jurina

    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. …”
    Get full text
    Get full text
    Thesis
  13. 13

    Design and implementation of solar-powered with IoT-Enabled portable irrigation system by Roshahliza, M. Ramli, Jabbar, Waheb A.

    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. …”
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    The application of Hyperspectral Remote Sensing Imagery (HRSI) for weed detection analysis in rice fields: a review by Sulaiman, Nursyazyla, Che’Ya, Nik Norasma, Mohd Roslim, Muhammad Huzaifah, Juraimi, Abdul Shukor, Mohd Noor, Nisfariza Maris, Fazlil Ilahi, Wan Fazilah

    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. …”
    Get full text
    Get full text
    Article
  15. 15
  16. 16

    Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

    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. …”
    Get full text
    Get full text
    Thesis
  17. 17

    Decision support system for optimal design and operation of ponds for watershed runoff management by Al-Ansi, Abdulwahab Mujahed Hasan

    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. …”
    Get full text
    Get full text
    Thesis