Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Agriculture & Biology

• yield forecasting 100%
• artificial intelligence 90%
• remote sensing 89%
• climate 60%
• wheat 48%
• vegetation index 19%
• empirical models 19%
• fluorescence 17%
• chlorophyll 16%
• methodology 16%
• crops 16%
• crop yield 13%
• growing season 12%
• moderate resolution imaging spectroradiometer 11%
• support vector machines 9%
• staple crops 9%
• traditional foods 9%
• space and time 8%
• neural networks 8%
• value added 8%
• food security 7%
• prediction 5%

Earth & Environmental Sciences

• machine learning 76%
• wheat 69%
• satellite data 66%
• climate 41%
• prediction 38%
• crop yield 22%
• crop 19%
• chlorophyll 19%
• fluorescence 18%
• vegetation index 13%
• growing season 12%
• method 10%
• SCIAMACHY 9%
• GOME 9%
• food security 7%
• support vector machine 6%
• MODIS 6%
• modeling 5%
• productivity 4%
• methodology 3%
• need 3%