Year: 2024
Type: article
Abstract: The changing climate patterns have significantly impacted farmers' ability to effectively plan their agricultural activities, particularly in timing the application of fertilizers, weedicides, pesticides, and other inputs.Unforeseen heavy rainfall shortly after applying fertilizers can lead to the loss of these inputs, preventing the crops from reaping their intended benefits, especially when using water-soluble granulated formulas.This study introduces the design and development of a personalized IoT-based weather monitoring system to empower farmers to accurately monitor atmospheric pressure, relative humidity, and temperature, enabling them to predict the weather for their specific location.The system includes temperature and humidity sensors to measure the atmospheric conditions in a specific farm location, a photo sensor to measure sunlight intensity, and a Wi-Fi module to transmit the data to a cloud data repository for analysis.A prototype IoT-based Weather Monitoring System was created and tested in real-world conditions.The proposed system proved capable of electronically alerting farmers on their mobile devices with real-time weather updates, thereby informing their farm planning and management practices like fertilizer and pesticide applications.
Institution: University of Mines and Technology
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4403074479