IoT Based Smart Automated Agriculture and Real Time Monitoring System F.M. Javed Mehedi Shamrat Dept. of Software Engineering Daffodil International University Dhaka, Bangladesh javedmehedicom@gmail.com Md Ahasanul Adeeb Khan MEng in Internetworking Dalhousie University Halifax, Nova Scotia, Canada ahasanuladeeb@gmail.com Alamin Hossain Dept. of Computer Science & Engineering Daffodil International University Dhaka, Bangladesh alaminarafat.cse@gmail.com Ankit Khater* Dept. of Computer Science & Engineering Jadavpur University India ankitkhaterak@gmail.com Tonmoy Roy Department of Electrical & Computer Engineering (ECE) North South University Dhaka, Bangladesh tonmoy5994@gmail.com Md Tareq Rahman Dept. of Computer Science & Engineering Daffodil International University Dhaka, Bangladesh tareq15-10376@diu.edu.bd Abstract— In Bangladesh, agriculture is the primary source of income. It has a significant impact on the country's economy. However, agriculture is being hampered these days due to citizens shifting from rural to urban areas. Monitoring environmental factors is not a natural remedy for increasing crop production. Several causes have a significant impact on efficiency. Consequently, to address these issues, agriculture must incorporate automation. A farmer can save time, cost, resources, and energy by using an automated irrigation device. Traditional agricultural irrigation methods necessitate human interference. Human interference can be reduced with automated irrigation technology. We have designed and developed a reliable smart farming system (IoT) to reduce farmers' time costs and resources. Our proposed system can detect temperature, detect the moisture level and water level of the agricultural land, and remotely monitor the land crops. The proposed model sort out into four modules: Water Level Detection Module (WLDM) always detect the water level to avoid drops destruction; Soil Moisture Detection Module (SMDM) calculate the soil moisture level from the land, if the level goes down its start the water pump; Notification Module (NM) is responsible for generating the message service to notify the user if any parameter (Temperature, Soil Moisture, Water) not in well condition; Temperature Detection Module (TDM) is always counting the temperature and humidity of the air if its high then it will start the fan; Cloud and Notification Module (CNM) is handled the user notification through message and remotely monitoring the data of first three modules to take the necessary steps. The result shows the system successfully performed and it can be noted that our proposed can be implemented with any type of environment and agricultural land. Keywords—Smart farming, automation, IoT, embedded system, Arduino, breadboard, GSM SIM800L, transistor, soil moisture, temperature detection, water level detection I. INTRODUCTION Many attempts have been made in recent years to reform the conventional farming method. It should systematically work to optimize efficiency and productivity for any intelligent agriculture process [1]. By the implementation of a more efficient method, costs, human labor and energy will be reduced. However, most use a WLAN module in real life, which is hard to find in agriculture to relay sensor data to the server [2]. Moreover, most of them use either a cloud service or a local database to store data, and if there is some purpose for the database crush, all these data cannot be returned. So smart farming is sadly not as commonly utilized as it could be because of collaboration and other issues. For their system, the paper [3] created an algorithm. The proposed system's key innovation is its capacity to submit soil data to the appropriate users using IoT technology for irrigation. The soil moisture quantitative study processes the water gratified by the soil, and the resulting data is sent to the amplifier, which offers to expand the range of values. This value is set as analog input data on the Arduino Uno. Second, analog input data is produced by the LDR and laser, which is then fed to the Arduino Uno. Arduino Uno converts these two analog inputs into numerical performance values. Liu [4] suggested a wireless sensor network model for greenhouse surveillance, in which they built a sensor node and a sink node with a central management framework, where the sink node was for wirelessly gathering data from the sensor nodes and then sending it to the management center utilizing short message service (SMS). However, data are unavailable for monitoring somewhere other than the management center. And the price was exorbitant. An irrigation automation device with an IOT-based crop-land management system demonstrates how to monitor a crop field [30], [31]. Sensors are used to create a structure, and the irrigation system is automated based on a server's decision based on sensed results. The sensed data is forwarded to a web server database through wireless transmission. If the agriculture is automatic, this ensures that the agriculture would be turned off if the moisture and temperature fields drop outside the possible range [32-34]. With the support of an application that offers a web interface, the consumer can handle the device remotely. [5] Prof. K.A. Patil and Prof. N.R. Kale suggests an intelligent irrigation model using ICT. The comprehensive real-time and historical environment is intended to aid in resource control and optimization. [6] The IoT-based Smart Agriculture Monitoring System features GPS-based remote-controlled tracking, moisture and temperature sensing, intruders scaring, stability, leaf wetness, and proper irrigation facilities. [7] Dr.P.Viswanathan and Mahammad shareef Mekala showed several traditional Agriculture IoT Sensor Monitoring Network Technologies applications utilizing Cloud storage as the backbone. CC3200 Single-chip was used to create a sensor that measures temperature and humidity in an agriculture sector. The camera is connected to the CC3200, capturing photographs and sending them via MMS to the farmers' cell phones via Wi-Fi [8]. Nowadays, IoT with machine learning 2nd International conference on Smart Electronics and Communication ICOSEC 2021 Tamil Nadu, India Pre-Print