The UN projects that the world's population will reach 9.7 billion by 2050, which will cause global agricultural production to rise 69% between 2010 and 2050.
Modern agriculture can be greatly benefited from emerging technologies such as IOT. Present agricultural practices require lot of data gathering, analytics, pattern recognition and representation. Implementing sensor nodes and edge computing devices with integration to cloud applications is the most commonly used architecture for these solutions.
At the planning stage weather data can be used to predict the favorable conditions and historical adverse conditions to prepare in advance. Weather data gathering can be done using IoT enabled weather stations to capture essential weather data such as temperature, humidity, precipitation and wind speed. Additional parameters such as soil moisture and PH level can also be recorded for reference purpose. These data can be represented in real-time dashboards to monitor the conditions. Historical data can be used to identity patterns. Big data analytics is another area to explore in future.
Implementation of this can be seen in Pelawatte sugar cane cultivations. The weather stations also comprise of online real-time dash boards to represent the data and historical values. Another application area of weather data for cultivations is the insurance claiming in post disaster scenario. Weather stations were developed as per customer required parameters with high reliable sensor modules from well reputed manufacturers. The weather station development, integration, data gathering and representation part was done by A&T Labs team.