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Industry 4.0 has seen a massive boom in technical advancement in every sector of society like transportation, digitalization, automation in various sections, robotics, communication. In one of its domain we had came up with various developments and innovations for the benefit of the agriculture domain across the globe. IoT has played a crucial role reducing crop losses and enhancing the yield. However, rural farmers are unable to get access to these advancements because of the higher rates of the machines available in the market. So,we have come up with a very astonishing, innovative and much cheaper prototype model to help the farming sector, thereby increasing the yield of crops by 18-22% every year. Our model gives accurate and precise data from various locations in a farm that covers large acres or hectares of land and uses long-range communication for the interaction between master and slave nodes which is independent of internet connectivity. The greater impact of this model is the low cost, high reliability and ease of use for the farmers. Also, by the time, the data that will be collected can help the various machine learning models to predict the conditions of the soil for the type of cropping needed in the near future. Finally, based on thorough study and research we identified and developed this much cheaper system for smart agriculture that can solve various challenges in the farming sector.
Ahirwar et al. (Sat,) studied this question.