In line with the growth of human population the demand for food production is on the rise.
Developing countries experience more of such demand in food production, but in the same countries there is limited resource like clean water for crops hence there will be inflation in Prices. It is hereby very important to make the rate at which the farm yields crops increase and at the same time reduce the effort, time, cost that it will take to bring about the production especially has these days growing a big farm is harder to maintain.
Now this is what Precision Agriculture hopes to solve, its a kind of farming technique that uses technology such as Satellite analysis and GIS data, alongside remote sensors strategically placed in fields and records of pictures taken by drones. Once the reports are checked the information it gives enables the farmer to have a graphical idea and a more detailed and timely approach to developing conditions based on the crop type, weather, soil type and temperature also any other environmental changes
Graphic analysis plays a very key role in creating proper plans for farm management. For instance, soil humidity can be detected from a satellite analysis, once such images which the satellite captures are studied, then watering machinery can be properly allocated to the right areas where the soil humidity is low. Also the analysis of overhead images taken by drones can detect the kind of pests plaguing the farm or even any defect in the plant therefore aiding timely treatment of these controlled sections instead of overview of the whole plantation which will omit such details. The images taken by the satellite can be enhanced to show the types of soil and what crops they can support thereby bringing in an advanced and varied distribution of crops through the farm
Economically, precision agriculture companies see beyond them a fast rising gold mine due to its financial worth and both government and private companies are getting more interested in it. As it is, such trend has shown that companies like IBM and Monsanto have interests in investing into precision agriculture over the last 30 years; this trend also introduces the growth of new precision agriculture companies that are involved in developing tools that aid farmers for precision agriculture.