Year: 2025
Type: article
Abstract: Using wireless sensor networks, this Internet of Things (IOT)-based agricultural monitoring system gathers data from multiple sensors placed at different nodes and transmits it using IOT technology. The Arduino, which has a temperature sensor, moisture sensor, water level sensor, DHT11 sensor, water motor, buzzer, and node MCU, powers an Internet of Things-based smart farm system. The IOT-based agricultural monitoring system measures the moisture, humidity, and water levels when it first boots up. On the phone, it provides an SMS warning regarding the levels. Water level is sensed by sensors. The water pump is immediately started if it falls. The water motor activates if the temperature rises beyond the threshold. The buzzer we connected to the Arduino will activate the warning system if an animal enters the agricultural area. in order for the animal to go from the land. In India, agriculture is the primary source of income for people. It has a significant impact on the national economy. However, there are currently obstacles in agriculture as a result of rural-to-urban migration. Crop output can be increased by more than just keeping an eye on the environment. There aren't any elements that significantly reduce production. Therefore, in order to solve these issues, automation in agriculture must be used. an automated irrigation system, which helps farmers save time, money, and energy. Manual intervention is necessary when using traditional farm land irrigation techniques. Irrigation technology that is automated can reduce the need for human involvement. Continuous crop sensing and monitoring through the convergence of sensors and the Internet of Things (IOT) helps farmers stay informed about crop growth and harvest times, which in turn increases crop productivity and ensures that products are delivered to customers at the right time and location. Therefore, we use IOT-based smart agriculture techniques to solve this issue. Sensors including temperature, humidity, soil moisture, and rain detectors are used in this project to gather and process field data. To remotely manage and monitor sensor data, these sensors are Ease of Use.integrated with well-known web technologies in the form of a wireless sensor network.
Author: Dr. Sanjay N. Patil
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4410824137