In this research paper, there is a new forecast on the programme that will be able to predict the weather for agriculture. Enhanced by the Internet-connected weather and climate models, earth observation data, and artificial intelligence algorithms, the system returns to farmers accurate, location-based outlook. It does this by factoring preceding day’s temperature data and other factors to determine the needed plant growth, therefore offering comprehensive and precise directions. Furthermore, the alarm systems help in giving the farmers a prior indication of any future possible weather-related incidents that cause a threat to human and their stock’s safety so that measures could be taken accordingly. It also uses real information especially in agriculture sector thus transmits present information to the farmers. The main objective that the system has for farmers is to provide them with information on crops during a favourable time for crop production and the main idea of achieving this is to boost agriculture sustainability and productivity, this is because climatic conditions are very volatile thus would have a great negative impact on farming. Also, the expected audience becomes more diverse and can principally grow, as we would like to consider farmers, who may not even have a basic computer knowledge, empowered by the platform.