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Bao, Y
Carlson, G
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Authors
Clay, D.E
Carlson, G
Tatge, J
Freire de Oliveira, M.F
Ortiz, B.V
Souza, J.B
Bao, Y
Hanyabui, E
Topics
Precision Carbon Management
Artificial Intelligence (AI) in Agriculture
Type
Oral
Year
2010
2024
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1. Soil Organic Carbon Maintenance Requiremnets And Mineralizatyion Rate Constants: Site Specific Calcuations

  Over the past 100 years numerous studies have been conducted with the goal of quantifying the impact of management on carbon turnover. It is difficult to conduct a mechanistic evaluation of these studies because each study was conducted under unique soil, climatic, and management conditions.  Techniques for directly comparing data from unique studies are needed. This study discusses techniques for comparing data collected... D.E. Clay, G. Carlson, J. Tatge

2. Towards a Digital Peanut Profile Board: a Deep Learning Approach

Artificial intelligence techniques, particularly deep learning, offer promising avenues for revolutionizing object detection and counting algorithms in the context of digital agriculture. The challenges faced by peanut farmers, particularly the precise determination of optimal maturity for digging, have prompted innovative solutions. Traditionally, peanut maturity assessment has relied on the Peanut Maturity Index (PMI), employing a manual classification process with the aid of a peanut profile... M.F. Freire de oliveira, B.V. Ortiz, J.B. Souza, Y. Bao, E. Hanyabui