Understanding a natural intelligence is the most systematic way of developing the internet of things. We know that each single-celled organism tries to survive. They usually follow the rule of “do the right thing at the right time”. In reality, IoT solves the simple problem for communication points. An agriculture intelligence has tried to solve it for many years: precision farming. Different machines, animals, and plants on different fields try to communicate with each other, as well different IoT devices.
If we were to try to use IoT on a large scale in the agriculture industry, we would have to build a suitable large architecture. Low-energy networks can provide connectivity only on one site and often do not exist in remote areas. This means the communication with the combine on the field will be always insecure. Because of the need for large-scale investigation and reduced maintenance efforts, cellular connectivity could be the right means of communication for modern farmers.
Smart precision farming
The United Nations predicts an increase in world population to over 11 billion by 2100. All of these people will have to be fed. Farmers face a set of challenges. An increasing worldwide demand for food, a changing climate, and a limited supply of water and fossil fuels. In addition, unsustainable farming is having negative environmental impacts. Farming of the future has to be more efficient and reduce environmental pollution at the same time. Precision farming is a new farming management concept. It tailored to the specific conditions of every field. They use sensor integration, automatic control, information processing and network communications capabilities. To provide a suitable growth environment for the plant in a more energy-efficient and cost-saving way, farmers could use the system for remote monitoring and factory automation management.
IoT implementation for precision farming
The goal of precision farming is to not only simply generate data via sensors but to analyze that data to evaluate needed reactions. Smart farming application areas include farm vehicle tracking, livestock monitoring, field observation and storage monitoring.
Sensors also have the potential to be mounted on animals. Farmers can monitor the health and well-being of livestock, as well as the surrounding environment. It could notify a farmer that an animal is sick, thereby preventing the spread of disease. Controllers can manage self-driving tractors remotely, providing significant cost savings. An infrared camera can identify pest-infested crops and weeds. Therefore, herbicides can only be applied where and when they are actually needed.
New methods of biologic pest control are more precise and cost effective. The immense effort of permanent caretaking is supported by new technologies. Drones with multi-network connectivity can detect water and nutrient deficits, and analyze soil conditions and the degree of ripeness of crops. This data is transferred to the farmer’s software application immediately through a GSM network and enables a resource-saving, environmentally friendly precision farming of the land.
Real-time monitoring of precision farming
Real-time monitoring of connected devices is fundamental for collecting data. It also includes monitoring on the farmers’ side. It may help control measures like changing parameters for suitable precision farming. Observations may also lead to the creation of new data collection tasks for sensors.
Farmers could follow a drone’s journey in real time since it has a tracker that can transmit its position via a mobile network to the special software or even website every few second. Being on the field the whole day, it is essential for farmers to have a tracking solution that would also work in remote areas and across borders. Hence, choosing a SIM card that could use every network is a critical component of the whole project.
SMS can play a role as an intermediate solution in large areas, helping with device distribution or middleware. However, a GSM network always can be used, even if an internet option is not available. As a result this makes cellular a reliable and persistent channel for loT connectivity in agriculture. Consider the opportunity of direct control over all SIM cards as one of the most important features, where a farmer can manage data in real time and check and adjust data usage, location and status of the devices in the precision farming portal or via an API.
Challenges in precision farming
Despite future opportunities, there are limits that are holding IoT back. One of them is the power problem of a long-term sensor deployment. The main drain on power is the use of GPS and the transmission of any data via GPRS. However, there are some novel power approaches available with low battery consumption such as a solar panel solution. Additionally, the deep analysis allows reduced data upload rates and increases the reliability of networks. Yet cost and public perception are two other barriers to the continued developments of the technologies.
In the future, the agriculture industry can help accelerate IoT development. Data from each field will hold extremely valuable insights for smart precision farming. We are creating new complex networks and interconnected devices right now. They can share infinite amounts of information. This will be fast and uninhibited. In conclusion, it is not a science fiction anymore; these innovations will be borne of loT and cover the globe, as cellular solutions can achieve an unbelievable level of observing any events on the field.
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The original article appeared on http://internetofthingsagenda.techtarget.com/blog/IoT-Agenda/IoT-as-a-solution-for-precision-farming