As every individual knows, agriculture's history dates back several thousand years. Agricultural is a great deal of important segment of the country's economy, and it contributes significantly to the nation's economic and social progress. Agriculture is a type of science that involves producing vegetation and livestock. A significant proportion of the population in economies that are developing is involved in agriculture, in either a direct or indirect way. This study gives the adoption of LORA in the agricultural field and the view of state of the art solutions for the smart agriculture to look at the potential of the technology in different infield applications. Emerging technology for networks, including as WSN and IoT, weren't previously straightforward to design and implement in agriculture. The increase in the rate was not increased by employing outmoded, traditional methods and technologies. Furthermore, rapid population growth cannot match human needs and desires. A number of efforts have been made to increase agricultural productivity. Yet, adverse atmospheric conditions along with frequent infestations of pests cause agriculture damage. In such a case, the incorporation of modern technology such as improved sensors and the Internet of Things (IoT) could increase crop yields while minimizing economic loss. Imagine the scenarios namely irrigation system, plantation, and crop monitoring, tree monitoring and livestock monitoring which shows the heterogeneous requirements in terms of network bandwidth density sensors complexity and energy demand, as well as the late decision making. This study guides the formers in developing countries to improve their farming profit with less man power. Lora-based solution works on these above mentioned scenarios to look into the scalability interoperability network architecture and energy efficiency and provide the possible future research directions.