The major parts of precision farming can mainly be broken up into three steps; pre-planting, post-planting and during the growth, and lastly, during harvest (Pfister, 1998). The pre-planting stage consists of gathering data required for planning. This includes, but is not limited to, gathering soil nutrient data from the farming area, gathering and evaluating data such as ground water level, potential pest and weed and also determining the areas, if any, affected by disease which may affect crop yields (Goddard, Kryzanowski, Cannon, Izaurralde, & Martin, n.d.). After planting and during the growth period, farmers have to use the data and information obtained during the pre-planting stage, through GIS, to manage different areas of the crops specifically depending on their needs. This may include dealing with weeds, diseases, pests and other problem affecting the crop (Pfister, 1998). The last stage is during harvesting, which the famers use a technique called “yield monitor” which analyzes the data of the yield from the crow to see whether the overall plan is working and to prepare for the next farming period (Pfister, 1998). Data collected by the farmer is then fed into GIS software for analysis providing the farmer with the desired information and maps. It might even be said that GIS is the central component of precision farming. Without it, all the farmer would have is just a list of coordinates and random data. It is only after the data is analyzed using GIS software that it becomes useful information. Still, when looking at it from an overview perspective, the requirements and necessary steps in precision farming may seem daunting. Nonetheless, its effects and benefits seem to outweigh the necessary dedication on the part of the farmers which is clearly visible both from the level of adoption and the initial data being advertised