Design and Implementation of Intelligent Systems Using ESP-32 Based Fuzzy Logic on Smart Agriculture System for Mustard Plants.

Weather changes affect the growth of a plant, causing the plant to adapt to the occurring changes. The surrounding environment of the land is an essential factor in plant growth. The main parameters required for plant growth are the amount of water and the appropriate timing for the irrigation process, adjusted to the land’s needs. Excessively dry or overly humid soil conditions will disrupt plant growth. This issue can be addressed through the Design and Implementation of Intelligent Systems Using ESP-32 Based Fuzzy Logic on Smart Agriculture Systems for Mustard Plants. The data acquisition parameters in our research include soil moisture measurement using a soil moisture sensor, air temperature measurement using a DHT22 sensor, and an infrared sensor to detect plant height. The sensor data is processed in the microcontroller using fuzzy logic to determine the irrigation duration based on the plant’s condition. The sensor readings are stored in a database and displayed on an LCD and a website for real-time system monitoring.