AIMC Topic: South Dakota

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Monitoring the Spatial Distribution of Cover Crops and Tillage Practices Using Machine Learning and Environmental Drivers across Eastern South Dakota.

Environmental management Jul 29, 2024
The adoption of conservation agriculture methods, such as conservation tillage and cover cropping, is a viable alternative to conventional farming practices for improving soil health and reducing soil carbon losses. Despite their significance in miti...
Machine Learning Agriculture Environmental Monitoring Zea mays Climate Change Crops, Agricultural Conservation of Natural Resources Glycine max South Dakota
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Hourly photosynthetically active radiation estimation in Midwestern United States from artificial neural networks and conventional regressions models.

International journal of biometeorology Dec 29, 2015
The relationship between hourly photosynthetically active radiation (PAR) and the global solar radiation (R s ) was analyzed from data gathered over 3 years at Bondville, IL, and Sioux Falls, SD, Midwestern USA. These data were used to determine temp...
Neural Networks, Computer Models, Theoretical Regression Analysis Seasons Illinois Sunlight Photosynthesis South Dakota
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