AIIoT-Enabled Soil Irrigation System

Authors

  • Sonu Airen1,Puja Gupta*2

Abstract

 

 

 

The Covid-19 pandemic and consequent nationwide lockdown measures have had an adverse effect on India's agriculture supply chain. Insufficient irrigation infrastructure and inadequate fertilizer application by farmers have had a detrimental impact on several agricultural regions. The implementation of intelligent soil irrigation and monitoring system is needed in order to address the aforementioned situation. The latest developments in precision farming, using the Internet of Things (IoT), are significantly transforming agricultural practices by improving their efficiency and cost-effectiveness for farmers via the reduction of crop losses. The advent of the contemporary age has seen the integration of the Internet of Things (IoT) across several industries, therefore significantly influencing the lives of individuals via its intelligent connectivity capabilities. The system comprises a set of disparate devices that cooperate to establish a network that can autonomously configure itself. The primary goal of the proposed system is to provide a solution that can provide farmers with information pertaining to moisture content and irrigation across many platforms. Farmers stand to benefit economically from the use of this device, as it has the capability to collect precise data pertaining to various environmental factors within the field, such as temperature, humidity, moisture levels, UV index, and infrared radiation. This data can then be utilized to facilitate the implementation of intelligent farming practices, therefore enhancing crop yields while concurrently preserving valuable resources, such as water and fertilizers. The suggested equipment comprises an ESP32s Node board, a breadboard, a DHT11 Temperature and Relative Humidity Sensor, an Electronic Ultraviolet Index/Infrared Sensor, jumper wires, and LEDs. The live data stream is seen via the use of the serial monitor and a Blynk smartphone. Consequently, farmers will have enhanced capabilities in crop management.

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Published

2000-2024

How to Cite

Sonu Airen1,Puja Gupta*2. (2024). AIIoT-Enabled Soil Irrigation System. African Diaspora Journal of Mathematics ISSN: 1539-854X, Multidisciplinary UGC CARE GROUP I, 24(1), 168–186. Retrieved from https://newjournalzone.in/index.php/ijmfsmr/article/view/214

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Articles