Machine Learning Approaches for Convergence of IoT and Blockchain. Группа авторов

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Machine Learning Approaches for Convergence of IoT and Blockchain - Группа авторов


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of any human intervention. But we see the need to ensure that this transfer mechanism as well as storage of any shared signals or information should be made secure and attack proof. This is taken care of by incorporating blockchain along with IoT. The combination of both these technologies helps fulfil the necessary security mechanism requirement to IoT which it otherwise lacked. The information that is received by a cloud can be accommodated in a tamperproof and permanent storage in a blockchain thus ensuring that the functioning of the machines, task communication, and messages to each other cannot be manipulated and reach completion in their intended manner. With incrementing the safety standards that the technology offers we will be able to attract a larger chunk of users to adopt and utilize this, and explore more vivid application throughout various spheres. No matter how huge the advancements any technique offers, without it being secure and trustworthy it cannot be brought in usage as the customer world will not accept it and might lead to theft of information or any such crime. Let us now look into the enhancement that these have brought about through various spheres as mentioned in Figure 1.4.

Schematic illustration of IoT and blockchain across industries.

      1.5.1 Agriculture Industry

      As we already know, this is the industry that provides employment and income to a very large section of India’s population particularly. Not just in India but almost all countries across the globe practice some form of agriculture or the other to meet the needs of their countrymen and often also from the trading perspective be it within the country’s boundaries or beyond it. In earlier times, this industry was mainly dependent upon natural factors and human labor, whereas now technologies like IoT and blockchain have found implementation in this sector in not just one but many beneficial ways. There are a number of difficulties that this industry has to tackle with. Some of them can be seen as, once the farm produce is obtained only about 50% of the total quantity produced is actually delivered to the end users the rest of it undergoes wastage due to multiple reasons. Another one being the natural degradation of the land resources, with continuous exploitation of the land and soil in order to yield crops for commercial purposes, the maximum capacity and quality of the produce is deteriorating with the passage of time. There are occasions where there has been loss of crop due to either unexpected weather patterns or pest outbreak or even instances of wild animals that happen to enter the field, ruining large portions of the produce. At times, variables such as fluctuation in demand drop in prices or excessive presence of middlemen that may hamper the growth of this industry. Let us know explore what solutions are offered by the technologies of IoT and blockchain and how they are beneficial for this industry [9]. Before the farmers sow the seeds of any crop, they must be aware about the demand that the crop has. It is possible to have an estimate of the same by analysing the trends in the sale of the crop over the previous years. This ensures that demand and supply can be kept proportional hence avoiding wastage and loss.

Schematic illustration of IoT and Blockchain in agriculture industry.

      1.5.2 Manufacturing Industry


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