Unsupervised Fertigation and Machine Learning for Crop Vegetation Parameter Analysis

Earth and Planetary Sciences

• Parameter 100%
• Data Set 100%
• Machine Learning 100%
• Vegetation 100%
• Investigation 66%
• Accuracy 66%
• Soil Moisture 66%
• Irrigation 66%
• Plant 33%
• Model 33%
• Forest 33%
• Temperature 33%
• Month 33%
• Management Systems 33%
• Need 33%
• Learning 33%
• Water Resource 33%
• Standard Deviation 33%
• Luminous Intensity 33%
• Farming System 33%
• Effectiveness 33%
• Humidity 33%

Engineering

• Dataset 100%
• Accuracy 66%
• Models 33%
• Fields 33%
• Demonstrates 33%
• Sensor 33%
• IoT 33%
• Functionality 33%
• Monitoring Device 33%
• Random Forest 33%
• Internet of Things 33%
• Temperature 33%
• Water Resources 33%
• Resource Utilisation 33%
• Machine Learning Technique 33%

Chemical Engineering

• Soil Moisture 100%
• Unsupervised Learning 50%