International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
AI-Powered Smart Plant Management System M. Sri Varsha Shwetha1, B. Siva Raman2, R. Rajesh 3, E. Lakshman Raj 4, S. C. Shabin Raj5 1 Assistant Professor, Department of Information Technology, Meenakshi College of Engineering, Chennai, Tamil
Nadu, India 2-5Student, Department of Information Technology, Meenakshi College of Engineering, Chennai, Tamil Nadu, India
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Abstract -An AI-based smart plant management system is
sensor will used. To calculate the values of soil Moisture level of the plant/tree.
designed for plant farming in the greenhouse. The idea is to measure the soil’s moisture content and provide an automatic watering system to maintain the soil moisture level for the plant shown.The major goals are to increase the soil’sproductivity and to regulate the amount of water used by each plant, planted in the soil. Soil Moisture Sensor (SMS), Temperature Sensor (TS), Automatic Water System (AWS), Water Flow Controller (WFC), Solar Panel, and Battery are the hardware devices used. An AI-powered control and management algorithm is deployed for the smart management of plants in this work and also a database is created to house all of the plant data required for the management. A web application is developed that enables remote monitoring of the plant management system.
3. PROPOSED SYSTEM In our proposed work a smart plant management system in green house environment is developed, using the Control & Management Algorithm. For improving the soil productivity the control part of the algorithm is usedand to maintain the water level the management part of the algorithm is used. Finally, through the Web app developed, the AI will alert the user incase if any problem is encountered in the automatic watering system, to check the status of the plant in the green house. a. AI→DATABASE→INSTRUCTION→WEB→ALERT SMS. b. AI→AUTOMATIC WATER SYSTEM→WATER FLOW CONTROLLER →WEB APP. c. AI→SOIL MOISTURE SENSOR→TEMPERATURE SENSOR→WEB APP. Above are the various AI connectives with devices. A web application is designed for controlling and monitoring the AI based system.
1. INTRODUCTION The setting of greenhouse plant farming can be improved with an intelligent plant management technology. By controlling the required devices, we will construct an experimental analysis of soil accuracy level and water flow level. The project's "CONTROL AND MANAGEMENT (C&M) ALGORITHM" is its main contribution, which accurately identifies the soil and water level. The technique is divided into the following three modules: 1.INFORMATION MODULE SYSTEM (IMS), 2.PERFORMING STATE (PS) and 3. ANALYSIS OF EXECUTION STATE (AES) for this purpose. The experimental setup shows the details of the first three techniques. Each plant and tree has been assigned a special plant ID in this intelligent plant system (for instance, "plant name: mango; plant ID: CMM03) that is maintained in a database.
2. EXISTING SYSTEM [1]In the existing work a Deep Learning based algorithm is
Figure 1: Block Diagram of the System
used in maintaining the soil Productivity. In the DL based approaches a Long-Short Term memory Network was used in connecting the hardware devices. Smart farming involve the use of smart Meters, Wireless sensor Network, Aerial vehicles, Smart camera Node, soil Moisture WSN, Satellite Imagery etc. In this project using so many sensorsLike Temperature, Humidity and soil Moisture
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4. LIST OF MODULES 4.1. Information Module System (IMS) The first step is the pre-process of the information which is done in the Information Module system (IMS).In this
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