Your cart

Your Wishlist

Categories

Logo
YouTube Video
Product Image
Product Preview

Smart crop monitoring based on Machine Learning

Category: Embedded Projects

Price: ₹ 20800 ₹ 26000 20% OFF

In this project, data has been collected from various sensors to propose an IoT-assisted hybrid machine learning approach for obtaining an effective crop monitoring system. Crop monitoring system here means predicting as well as detecting diseases of crops. This study is about leveraging existing data and applying regression analysis, and decision tree to predict crop diseases in diverse crops such as rice, ragi, gram, potato, and onion. Among the applied methods, SVM outperforms regression, DT methods. The training and testing accuracy of Gram has 96.29% and 95.67%, respectively.

block-diagram

• Demo Video
• Complete project
• Full project report
• Source code
• Complete project support by online
• Life time access
• Execution Guidelines
• Immediate (Download)

HARDWARE REQUIREMENTS:
1.Raspberry pi
2.pi camera
3. Relay
4. DC motor
5. Temperature Sensor
6. Moisture Sensor
7. Power Supply

Software Requirements:
1. Python
2. Matplot Libraries
3. Scikit Libraries
4. Thonny software

Immediate Download:
1. Synopsis
2. Rough Report
3. Software code
4. Technical support

Hardware Kit Delivery:
1. Hardware kit will deliver 4-10 working days (based on state and city)
2. Packing and shipping changes applicable (based on kit size, state ,city)

Leave a Review

Only logged-in users can leave a review.

Customer Reviews