2026-10-15T10:23:50Z https://api.figshare.com/v2/oai

oai:figshare.com:article/29670476 2025-08-06T06:08:58Z category_29170 category_29194 category_29188 category_29173 portal_923 item_type_3 month_year_08_2025

Real time soil moisture data and weather data Varun Yarehalli Chandrappa (9847316) Semi- and unsupervised learning Software architecture Programming languages Machine learning not elsewhere classified Intelligent Fresh, ground and surface water systems and management The objective of the proposed research is to develop an IoT based intelligent watering system in the managed parks. This objective is aligned with CQUniversity's research strength under the area: “smart systems and computational intelligence”. In this project, we will install several data collection sensors to monitor the moisture content of the park. Some of these data collection sources will be automated for real-time collection and storing of data in a cloud storage facility. This information will be used with data mining technologies to analyse for accurate watering and forecasting. The decision of the developed model will be integrated with the existing irrigation systems for smart automation, which will deliver water in accordance with the requirements of the plant, the rainfall received and evaporative demand of the system. The skills which we are going to learn while doing this project is machine learning, artificial intelligence, IoT and programming skills.<p></p> 2025-08-06T06:08:58Z Dataset Dataset 10.25946/29670476.v1 https://figshare.com/articles/dataset/Real_time_soil_moisture_data_and_weather_data/29670476 CC BY 4.0