The global population is swiftly increasing with a predicted 9.6 billion by 2050. The planet is facing a major challenge in 2 different aspects while addressing to this eternally exploding population – space to live and food to eat.
The first issue is being taken care of by the concept of vertical expansion, but the second problem becomes more pronounced due to dwindling stretches of cultivable land, shortage of fresh water for irrigation and uncertain climate conditions. In addition, there are other minor hurdles that farmers have to face regularly, including crop pests and diseases, lands getting saturated due to the impact of chemical fertilizers and the heightening popularity vis-à-vis the increasing cost of producing genetically modified crops.
What is Precision Farming or Smart farming?
While not each of the above-mentioned problems are being faced head on, many of them are being addressed by technology coupled with scientific analytics. That is how we are introduced to the concept of Smart farming or alternatively called, ‘precision farming’.
Smart farming is the application of connected technology and internet of Things, where ‘Things’ would essentially mean sensors, to the area of agriculture. That would mean farmers having access to analytical data that could intimate them of things that are vital to their crop growth.
Examples of integrated smart farming efforts would be sensors that could sense water percolation level and soil dryness, climate monitors, weather forecasters, soil salinity detectors and some device which could bring together all this data in an understandable format for farmers and cultivators to understand. This would also include crop cultivation patterns based on historical data.
Precision Farming is composed of departmentalized actions of various disciplines and sub-disciplines. Here is an over-view.
Implementing a scalable smart farming solution can bring about a revolution in how agriculture is being handle today. Effects of a smart farming drive can be rather awesome, including appropriate irrigation, pro-activeness in case of climate crisis, reduced rottening of crops due to diseases, an optimal use of fertilizers and pesticides, reduced wastage of crops due to faulty fleet management and scores of other such issues.
However, it is easier said than done.
Challenges that can be faced by key drivers
Here is a brief view of technology drivers and barriers that can influence the implementation of smart agriculture globally:
When we talk about Smart Farming, there are 2 different things that we are addressing to:
- Smart agriculture
- Smart livestock farming
Both of these areas have their own challenges to be catered to.
In this series of short write-ups
Comprising of 3 different in-depth pieces to knowing more about how Internet of Things and other peripheral technologies have put together various criteria and come out with viable solutions to aching problems facing the agriculture industry and livestock farming
In the coming write-ups in this series, we shall hold up these 2 areas individually and analyze them from an IOT implementer’s view.