Chickpea leaf water potential estimation from ground and VENµS satellite

Keyphrases

• Leaf Water Potential 100%
• Chickpea 100%
• Potential Estimates 100%
• Vegetation Index 40%
• Leaf Area Index 40%
• Irrigation Treatment 30%
• Normalized Difference Spectral Index 30%
• Hyperspectral 20%
• Linear Regression 10%
• Commercial Fields 10%
• Status Assessment 10%
• Potential Response 10%
• Estimation Accuracy 10%
• Climate Change 10%
• Rainfed Agriculture 10%
• Irrigation Management 10%
• Per Se 10%
• Spectral Reflectance 10%
• Low Correlation 10%
• Microsatellites 10%
• Cicer Arietinum 10%
• Grain Legumes 10%
• Spectral Bands 10%
• Protein Source 10%
• Estimation Error 10%
• Morphological Changes 10%
• Non-destructive 10%
• Canopy Development 10%
• Irrigation Scheduling 10%
• Plant Water Status 10%
• Index Assessment 10%
• Assessment Method 10%
• Estimation Model 10%
• Spectral Data 10%
• Index Leaf 10%
• Treatment Development 10%
• Environmental Monitoring 10%
• Vegetation Monitoring 10%
• Machine Learning Based 10%
• Spectral Estimation 10%
• Artificial Neural Network Model 10%
• Canopy Reflectance 10%
• Supplemental Irrigation 10%

Agricultural and Biological Sciences

• Leaf Water Potential 100%
• Chickpea 100%
• Vegetation Index 40%
• Leaf Area Index 40%
• Irrigation 30%
• Irrigation Management 10%
• Feeds 10%
• Irrigation Scheduling 10%
• Microsatellite 10%
• Cicer Arietinum 10%
• Grain Legume 10%
• Protein Sources 10%
• Neural Network 10%
• Staples 10%
• Supplemental Irrigation 10%