Fecha de publicación: 15/01/2021 Fuente: WIPO Agriculture Portada In recent years, many efforts have been taken to change the traditional agriculture system. For any smart agriculture system, it should operate in a systematic way to maximize quality and productivity. So by implementing a more reliable system can cut the cost, human labour, and wasting resources. But most of them are using the Wi-Fi module to transmit the sensor data to the server, in real life, which is difficult to find in an agriculture field. Also, most of them are using one tire data storage system either cloud database or local database to store data, and if database crush for any reason there will be no possibility to get all those data back. So unfortunately because of the complicacy and other problems smart farming is not as widely used as it has to be. Liu [11] proposed a wireless sensor network prototype for environmental monitoring in greenhouse, where they have created a sensor node and a sink node with a central management system where sink node was for collecting data from the sensor nodes wirelessly and then send it to the management center using short message service (SMS). But the problem was data was not available for monitoring from anywhere except the management center. And the cost was so high. Ibrahim Mat in the year 2016 [12] presented a greenhouse management system (GHMS) was a smart irrigation system (Fig.1). GHMS is based on wireless sensor network (WSN) technology. In this particular application, GHMS is used to manage the greenhouse condition. GHMS will read the wetness of the soil media in the greenhouse by using a moisture sensor. GHMS will read the wetness of the air in the greenhouse by using the humidity sensor. GHMS read the heat of the air in the green house by using temperature sensor which was only proposed for a greenhouse. Athani [13] in the year 2017 presented a soil moisture monitoring using IoT-enabled Arduino sensors with neural networks for improving soil management for farmers and predict seasonal rainfall for planning future harvest in North Karnataka, India. They have used a Wi-Fi module to transmit the data to the Web server database. But in real life, Wi-Fi is difficult to find in an agriculture field. And there many more related works for making traditional agriculture system to smart using IoT technology.