The need to provide a farmer with the right knowledge of the crops that would grow and increase the yield in respective farms is the main aim of the project. The information technologies used to accomplish the farmers problem are Mobile Application Development, Cloud Computing, Internet of Things (IoT) and Databases. The farmer will be able to choose the best and the right crops for their farm under different weather conditions, seasonal conditions and also, farmer will be able know the marketing condition such as Demand and Supply condition of the market before sowing the seeds in a farm. By meeting the Demand and Supply of the Market, a farmer will be able to increase the income which is achieved by farming on a farm. The farmer will be able to access the condition of a farm through historic records like previous 10 years conditions of the farm. The farmer will know whether the Crops are ready to be harvested or not. The farmer will also be able to know the details of all crops. All crops details will be provided to the farmer. Farmers will also be able to monitor the farm remotely using the Internet of Things (IoT) technology.

How to Cite
AHMED, RUMAN PASHA, VINAY PRATHAP, ASGHAR PASHA, DEVA KUMARI, Faraz. Survey on Precision Farming using Mobile Applications. Global Journal of Computer Science and Technology, [S.l.], jan. 2019. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/1770>. Date accessed: 17 feb. 2019.