부산대학교 도서관

India's agricultural sector is a significant part of the country's economy, with the majority of land used for agriculture. Water is a crucial resource in this sector, and the use of IoT technology is essential for efficient water use. The Solar Power Based IoT Agribot uses sensing prediction criteria to anticipate irrigation management based on soil temperature, moisture, and humidity. The Agribot measures soil temperature and moisture content using sensors at regular intervals. The innovative SLR and SVM approach is used to accurately estimate soil moisture levels. The experimental data supports intelligent irrigation, which uses less water while producing high crop yields. The Agribot's main purpose is to optimize water reservoir utilization. The SLR algorithms accurately estimated soil moisture with a performance level of 98.63%, and comparisons were made between prediction accuracy and correlation coefficient.