Smart soil nutrition monitoring system.pptx

Smart soil monitoring system

1. PROJECT TITLE : SMART SOIL NUTRITION MONITORING SYSTEM FOR SUSTAINABLE AGRICULTURE

2. Executive Summary Agriculture is crucial for many economies, providing food, employment, and raw materials. However, the sector faces challenges in achieving sustainability and efficiency, particularly in soil health management, which directly affects crop yield and quality. Traditional soil monitoring methods involve manual sampling and lab analysis, which are time-consuming and provide only periodic data. This can lead to the overuse or underuse of fertilizers, causing environmental harm and reduced productivity . To address these issues, we propose an IoT -based Smart Soil Nutrition Monitoring System. This system uses IoT sensors to continuously monitor soil conditions such as moisture, pH, temperature, and nutrient levels. The data is analyzed in real-time, providing precise recommendations for fertilizer application through mobile and web applications. This approach promotes precision agriculture, reduces environmental impact, cuts costs, and supports sustainable practices, ultimately enhancing agricultural productivity and efficiency.

3. Project Objective : Scope Methodology Artifacts used Technical coverage Results Challenges and Resolutions Conclusion Agenda:

4. The primary objective of this project is to develop a comprehensive soil monitoring system that leverages advanced Internet of Things ( IoT ) technology to measure and analyze key soil parameters. This system aims to address the inefficiencies and environmental challenges associated with traditional soil management practices by providing precise, real-time data and actionable recommendations to farmers Project Objective

5. The scope of the IoT -Based Smart Soil Nutrition Monitoring System for Sustainable Agriculture involves the comprehensive integration of advanced technologies and practical solutions designed to provide farmers with accurate, real-time information about soil health, enabling them to make informed decisions for optimal soil management and sustainable agricultural practices . Scope

6. The methodology involves deploying soil sensors capable of measuring critical parameters such as pH, moisture, and nutrient content. These sensors are integrated with IoT devices like Arduino or Raspberry Pi, which collect and transmit data to a central processing unit. Advanced algorithms analyze the data to provide insights into soil health and generate fertilizer recommendations. A user-friendly web or mobile-based interface is developed to display real-time data and recommendations to farmers. Methodology

7. The artifacts used to build the IoT -Based Smart Soil Nutrition Monitoring System for Sustainable Agriculture include various hardware and software components. Here’s a breakdown of the main artifacts Hardware: Soil Sensors : Microcontrollers Software : Blynk Platform: Wokwi Platform Artifacts used

8. Soil Sensors: Select and deploy sensors capable of measuring key soil parameters such as temperature, humidity, moisture, and nutrient levels. DHT22 Sensor Moisture sensors Nutrient sensors pH sensors

9. Microcontrollers: Integrate sensors with microcontrollers to manage data collection and transmission. Common microcontrollers used include:  ESP32: The ESP32 microcontroller is used to interface with the sensors, process data, and communicate with the Blink platform.

10. Blynk Platform:  Blynk Library: Facilitates connection to the Blink web console for real-time data visualization and remote monitoring .  Blynk Auth Token: Unique authentication token for the Blink project ("SE4lyMok56KzlHZiaDK4k7yNWiEU7ZyO").  Blynk Template ID and Name: Identifies the specific template used in the Blink project ("TMPL3_RxQnUZ2" and "Smart Soil Monitoring Final").

11. Libraries:  WiFi.h : Manages Wi-Fi connections.  WiFiClient.h : Handles client-side network operations.  BlynkSimpleEsp32.h: Provides Blink functions tailored for the ESP32 microcontroller.  DHTesp.h : Manages the DHT22 temperature and humidity sensor.  HardwareSerial.h : Manages additional serial communication.

12. Technical coverage The technical coverage of the IoT -Based Smart Soil Nutrition Monitoring System for Sustainable Agriculture encompasses several key areas, including hardware integration, software development, data processing, communication protocols, and user interface design. Below is a detailed breakdown: Hardware Integration Software Development User Interface Design

13. Software Development Code Snippet :

14. User Interface Design Blynk Platform Integration: