Farming is the backbone of agriculture, which makes a considerable contribution towards the GDP growth of a country. Owing to the disadvantages of traditional outdoor framine, Indoor Farming has been considered as a more sustainable method in recent times. This project aims to automate some of the processes of indoor agriculture by monitoring the parameters that contribute to a healthy crop growth such as temperature, humidity and machine temperature, Iight intensity and DB levels. and automating them to stay within the optimal range, where possible, or alert the owner of the estate to take necessary action immediately. The sensor data is simulated using IBMIoT sensors and is sent to the cloud through IBM Bluemix. The data is transmitted to the Node-RED platform by using MOTT protocol. A mobile application has been developed for the farm owner to access all details related to the statistics of parameters that are gathered by the sensor data and keep track of their farm from anywhere. In doing so, the indoor farm can facilitate agriculture without the need for excess manual labour. © 2021 IEEE.