Year: 2025
Type: article
Abstract: The increasing need for efficient and sustainable agricultural practices has led to the adoption of smart technologies in farming. This project presents an IoT-enabled Smart Plant Monitoring System with an automated fertilization mechanism to optimize plant health and growth. The system integrates sensors to monitor key environmental parameters such as soil moisture, temperature, humidity, pH level, and nutrient concentration. These real-time data points are transmitted to a cloud-based platform for analysis and remote monitoring. Based on the collected data, an automated fertilization system precisely delivers the required nutrients, reducing manual effort and preventing excessive fertilizer use. The system utilizes wireless communication for seamless connectivity, ensuring real-time alerts and decision-making via a mobile or web-based interface. The proposed solution aims to enhance crop yield, conserve resources, and promote sustainable farming by minimizing waste and optimizing plant care.
Author: Rajagopalakrishnan N
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4409675640