A CONCEPTUAL STUDY ON IOT BASED GREENHOUSE MONITORING SYSTEM

This project is mainly focused on improving existing agricultural practises through the use of new technology in order to increase yield. This research presents a concept of a smart greenhouse that enables farmers to carry out farm work automatically without the need for extensive manual inspection. The plants in a greenhouse are protected from adverse weather conditions such as wind, hailstorm, ultraviolet rays, and insect and pest attacks since it is a closed building. The irrigation of cultivation fields is done with automatic drip irrigation, which works according to the soil moisture threshold established such that the plants get the right amount of water. Using drip fertigation methods, the correct amount of nitrogen, phosphorus, potassium, and other minerals may be added based on data from the soil health card. After calculating the existing water level using an ultrasonic sensor, proper water management tanks are installed and filled with water. Using rising lights, plants are also supplied with the necessary wavelength light at night. Humidity and temperature metres, as well as a fogger, are used to monitor temperature and air humidity. The GSM module is used to monitor a tube well (missed call or sms). Bee-hive boxes are used for pollination, and ultrasonic sensors are used to weigh honey and deliver mail to customers when the boxes are complete. Furthermore, data from storage bins is transferred to a cloud server (Google Drive) and redirected to an e-commerce firm. The machine can keep track of different environmental factors including humidity, soil moisture, temperature, and the presence of fire, among others. A message will be sent to the registered number via GSM module if any condition exceeds those thresholds. If the soil moisture level falls below a certain threshold, the microcontroller can automatically switch on the motor. The colour of the leaves will be detected by a colour sensor, which will transmit a warning. In our laboratory, the prototype was placed through its paces with a variety of inputs, and the findings were as predicted