EFFECTIVE USE OF BIG DATA FOR PRECISION AGRICULTURE-BASED SOIL ANALYSIS AND CROP FERTILITY PREDICTION
In today’s era to handle the increasing challenges of agricultural production, we need to understand the complex agricultural ecosystems The usage of modern digital technologies can help in monitoring the physical environment, help in predicting large volumes of data in an unprecedented pace. By using (big) data we can extract the values from it and help the farmers to yield productivity .Big data has been used in various industries, but not yet used in agriculture sector. The main objective of this paper is to perform a review on recent studies and research works in agriculture which employ the current practice of big data analysis, in order to solve various relevant problems. Thirty-four different studies are presented, examining the problem they address, the proposed solution, tools, algorithms and data used, nature and dimensions of big data employed, scale of use as well as overall impact. Concluding, our review highlights the large opportunities of big data analysis in agriculture towards smarter farming, precision agriculture by showing that the availability of hardware and software, techniques and methods for big data analysis, as well as the increasing openness of big data sources, shall encourage more academic research, public sector initiatives and business ventures in the agriculture sector.