Crop management using Big Data

Crops management might be a hard task especially in semi-arid environments, where crops are not getting enough water by rainfall or natural drainages. Providing additional water resources to crops by irrigation comes with many challenges. On the one hand, too much irrigation will imply losses by evaporation or percolation, while a lack of irrigation can cause water stress. On the other hand, the application of the exact amount of water needed requires the knowledge of numerous parameters such as soil cond itions, plant development, and weather. This paper addresses such issues by providing an efficient strategy for crops and water resources management. The strategy makes use of Big Data and remote sensing to process satellite images over large areas and extract insights from the collected data to help farmers in managing their crops and taking irrigation decisions. We implemented a web service that allows farmers to perform all above-mentioned tasks online.