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Using Long Short-Term Memory for Building Outdoor Agricultural Machinery.

Chien-Hung Wu1, Chun-Yi Lu2, Jun-We Zhan3

  • 1Department of Marine Recreation, National Penghu University of Science and Technology, Magong, Taiwan.

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Summary
This summary is machine-generated.

This study introduces an agricultural robot using Long Short-Term Memory (LSTM) to optimize crop yields amidst climate change and population growth. The robot efficiently manages resources, ensuring suitable growing conditions and boosting food production.

Keywords:
artificial intelligenceautomation equipmentdeep learningintelligent agriculturelong short-term memoryrobot

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Area of Science:

  • Agricultural Engineering
  • Artificial Intelligence
  • Environmental Science

Background:

  • Climate change and population growth are exacerbating agricultural output decline and food crises.
  • Farmland transformation in emerging economies further stresses food production.
  • Outdoor farms often lack essential electricity and water resources.

Purpose of the Study:

  • To propose an innovative outdoor agricultural robot for enhanced crop production.
  • To address resource allocation challenges in resource-scarce farming environments.
  • To leverage artificial intelligence for predictive environmental control and resource management.

Main Methods:

  • Development of a portable, green-powered agricultural robot.
  • Integration of Long Short-Term Memory (LSTM) for environmental and weather forecast analysis.
  • Utilization of multivariate LSTM for predicting variables and controlling solar power supply.

Main Results:

  • The robot effectively detects environmental conditions for precise resource control (water and electricity).
  • The system demonstrates potential for significant increases in agricultural output.
  • LSTM-based predictions enable optimized power management from solar energy.

Conclusions:

  • The developed agricultural robot offers a viable solution for improving crop yields in challenging environments.
  • Intelligent resource management through AI is crucial for sustainable agriculture.
  • The robot's design addresses critical needs for electricity and water in outdoor farming settings.