Economic and Commercial Aspects of IoT in Agriculture Digitization

Economic and Commercial Aspects of IoT in Agriculture Digitization

Sunil Kumar (Amity University, Noida, India)
DOI: 10.4018/978-1-5225-9574-8.ch008
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Around the world, city, state, governments, and public sector groups are leading the way in taking the internet of thing (IoT) to existence and improving the lives of citizens everywhere. Currently 21 billion devices are connected. For 2025, the installed base of IoT devices is forecast to grow to almost 76 billion worldwide. At the same time, the global smart agriculture market size is expected to triple by 2025, reaching $15.3 billion (compared to being slightly over $5 billion back in 2016). Because the market is still developing, there is still ample opportunity for businesses willing to join in. Building IoT applications, devices, and products for future agriculture set you apart as an early adopter, and as such, help you pave the way to success. Wireless sensor network has an ability to solve many problems of real world (i.e., agriculture, harvest, farm monitoring, post-harvest, remote irrigation control, warehouse, livestock monitoring, cold chain monitoring) and improve the decision-making capability of government in response to natural disasters.
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Digitization of agriculture in India can play a very important role but harsh economic conditions make it difficult to implement. Only 7% of farmers have more than of 2 hectare land, where 80% of farmers have less than of 1 hectare land thus source of income is very low. In such conditions investment in technology is very difficult for Indian farmers.

The population in urban area is increasing rapidly and population growth will lead to more demand for food. This demand only fulfills when the production will increase in the agriculture field. In earlier days the farmers predict the rainfall by looking the sky but now days due to the global warming the weather becomes unpredictable. Therefore we need technology to control the weather and predict the production in agriculture.

The discussion of IOT in Agriculture today is intriguing a result of numerous intonation focuses. The semiconductor and remote innovation is effectively accessible and at value focuses that would bode well from a ROI viewpoint of even a little time agriculturist when fabricating is done at creation scale. Keen cultivating dependent on IoT innovations will empower cultivators and agriculturists to lessen waste and improve efficiency (Babcock et al, 1998).

Utilization of innovation to agribusiness is a major subject. It can cover zones like miniaturized scale science, tissue culture, ranch motorization, Farm ERP frameworks, better seeds, better manures, Hydroponics frameworks, better additives, showcase revelation instruments, production network upgrades, better credit plans, sun based controlled homestead apparatuses and a large group of different things. Here we will concentrate mostly on use of hardware and PC in horticulture (Babcock et al, 1998).

Wireless sensor network has an ability to solve many problems of real world, i.e. agriculture, harvest, Farm monitoring, post-harvest, remote irrigation control, warehouse, livestock monitoring, cold chain monitoring and improve the decision making capability of government in response to the natural disasters. Yuktix is an IOT and M2M start-up working in the field of WSN and it provides solutions in the field of agriculture, air quality check and smart infrastructure and changing the lifestyle of the millions of people. Yuktix provides remote monitoring and control of automatic weather stations and air quality stations in many cities of India. Yuktix is working on weather project, transforming agriculture by crop disease prediction, air quality check and changing the lives wirelessly (“Food and Agriculture Organization”, 2016). Some agriculture examples how WSN can impact the economy of any nation are given below:

Agriculture: Yuktix is working in transforming agriculture sector and providing solutions from agriculture fields to warehouse.

  • 1.

    Crop Disease Prevention: The quantity of pests in crops can be projected by monitoring the variables like level of water, soil Temperature, growth of crops, humidity, leaf wetness, moisture, CO2 and temperature and therefore suitable quantities of pesticides could be sprayed at correct time. Using this system a farmer easily access the all required data and can predict the type of diseases in crops and take the necessary actions. This model can solve the problem of pesticide excess in agriculture produce.

Figure 1.

Crop disease prevention system


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