## 7 Discussion and Conclusions  
Currently, the concept and applications of the IoT (Internet of Things) are gaining more and more relevance in our world. This happens thanks to the possibility of interconnecting any object or device through the network using various communication technologies and protocols. To carry out this interconnection, the teams used various types of networks, from the best known and widely disseminated ones, such as WiFi (Wireless Fidelity), LTE (Long-Term Evolution), Bluetooth, etc. The proposed system aimed to validate a WSN environment in medium-scale crops for a specific crop  
Figure 10: Prediction with 95% adjustment for the SARIMA model (1,1,1) (1,1,2) (32). variation and in a specific area. One of the main objectives of this work was to minimize the cost of the sensorization devices, optimizing the technical characteristics that the deployed devices should have. Thanks to this information, it will be possible to generate large-scale, sensorized, and sustainable crops, as shown in Figure 11.  
Each of these specialized communications protocols for IoT applications has the potential to become future standards with global acceptance and with significant benefits at the time of implementation. However, it is necessary to know the specifications and technical capabilities of each one of them to choose the most appropriate technology according to the environment and its application. For these reasons, the macro project that gave rise to this article proposed the creation of a model that allows the analysis and simulation of the behavior of the main performance parameters (such as energy consumption, range, and coverage; supplied bandwidth; rate of errors; and losses due to the propagation of the technologies mentioned above) in such a way that it becomes a very complete decision-making tool that contributes to research and the generation of new knowledge in this area and allows its implementation in environments such as Colombian and Spanish rural areas. Some of the parameters that the project allowed us to determine were the distance between nodes, the power of their emission antennas, or the type of IoT devices used based on their energy consumption. Specially for the benefit of the agricultural sector, forming community networks and their connection to the internet, which allow the reduction of the technology gap in this sector, contribute to improving productivity and serve as a reference for the implementation of any project involving LPWAN networks in Colombia  
Figure 11: Mixed implementation of systems based on 802.11 and LPWAN wireless technology in medium and large scale. In the case of a potato crop in the Castilian plateau of the Iberian Peninsula, it would be possible to manage one hectare of crop with two medium-scale WSN (Wireless Sensor Network). and the world, depending on the chemical configuration of the soil and existing crops that have a high relationship with their humidity for several meters around. In these cases, the number of sensors required to monitor the crop is less. In those soils where the chemical composition varies within a few centimeters, a higher density of sensors is necessary. Thanks to the dynamic system of the medium-scale WSN, it is possible to incorporate up to 253 sensors per WiFi gateway, the logical limit of most commercial routers. Thanks to the configuration of large-scale WSN systems, it is possible to cover large areas of land where LPWAN networks have scope. The ARIMA models, which consist of autoregressive parameters and moving averages related to distant lags, did not capture the periodic behavior of time series with relatively large frequencies under certain traffic conditions, such as the one that occurs in the transmission of autocorrelated data and with periodic bursts of information. However, the SARIMA models allowed us to optimally represent the behavior of the traffic in a wireless network for Smart Agro environments.