This research paper investigates the design, implementation and evaluation of smart irrigation system that incorporates solar tracking technology to bolster agricultural sustainability. The proposed system integrates various hardware components, including solar panels, a solar tracker mechanism sensors, water pumps and power management devices. Through meticulous sensor calibration, precise data collection is ensured, facilitating the development of an irrigation algorithm that factors in crop type, growth stage and prevailing weather and soil conditions. The control system is intricately programmed to administer irrigation operations based on the algorithm’s outputs. Additionally, solar tracker configuration is optimized to enhance energy generation by dynamically adjusting solar panel orientation. Integration and system testing phases rigorously assess functionality under real-world conditions, culminating in field trails aimed at comprehensive performance evaluation. The obtained results provides remarkable improvement in irrigation efficiency, energy generation, water management and crop capitulate. Moreover, this chapter investigates the economic feasibility, scalability, adaptability and environmental brunt of the proposed system. This proposed system gives very effective contribution to promoting sustainable practices of agriculture.

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Optimizing Crop Cultivation: Implementing and Evaluating Smart Irrigation with Solar Tracking for Sustainable Agriculture

  • Abhinav K. Gautam,
  • Khadim Moin Siddiqui,
  • Beer Singh,
  • Raman Kumar,
  • Arjun Singh

摘要

This research paper investigates the design, implementation and evaluation of smart irrigation system that incorporates solar tracking technology to bolster agricultural sustainability. The proposed system integrates various hardware components, including solar panels, a solar tracker mechanism sensors, water pumps and power management devices. Through meticulous sensor calibration, precise data collection is ensured, facilitating the development of an irrigation algorithm that factors in crop type, growth stage and prevailing weather and soil conditions. The control system is intricately programmed to administer irrigation operations based on the algorithm’s outputs. Additionally, solar tracker configuration is optimized to enhance energy generation by dynamically adjusting solar panel orientation. Integration and system testing phases rigorously assess functionality under real-world conditions, culminating in field trails aimed at comprehensive performance evaluation. The obtained results provides remarkable improvement in irrigation efficiency, energy generation, water management and crop capitulate. Moreover, this chapter investigates the economic feasibility, scalability, adaptability and environmental brunt of the proposed system. This proposed system gives very effective contribution to promoting sustainable practices of agriculture.