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ASCD: Automatic sensing and control device for crop irrigation scheduling.

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This study introduces an automatic sensor and control device (ASCD) to optimize agricultural irrigation. The ASCD intelligently manages soil moisture, reducing water waste and improving crop yields through precise irrigation scheduling.

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Area of Science:

  • Agricultural Engineering
  • Environmental Science
  • Computer Science

Background:

  • Traditional irrigation systems waste significant water via evaporation and drainage.
  • Effective irrigation scheduling relies on soil moisture, soil characteristics, weather, and plant type.
  • Optimizing water use is crucial for sustainable agriculture and increased crop productivity.

Purpose of the Study:

  • To design an intelligent system for monitoring agricultural conditions and controlling soil moisture.
  • To develop an algorithm for determining optimal irrigation water ratios and timing.
  • To reduce water consumption in crop irrigation.

Main Methods:

  • An intelligent control and monitoring algorithm was developed using experimental data for various plants.
  • Plants were classified into three groups based on their irrigation needs.
  • A custom-built automatic sensor and control device (ASCD) was programmed with the algorithm.
  • The ASCD integrates with resistive or capacitive soil moisture sensors and electronic irrigation valves.

Main Results:

  • The ASCD, utilizing the new algorithm, demonstrated high accuracy with an average absolute relative deviation of 5.46%.
  • The system successfully reduced water usage for crop irrigation compared to traditional methods.
  • The ASCD proved effective in automatic, independent sensing and control of irrigation.

Conclusions:

  • The proposed ASCD and algorithm offer an accurate and efficient solution for agricultural irrigation management.
  • The system contributes to water conservation and enhanced crop productivity.
  • The ASCD provides an automated and independent approach to precision irrigation.