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Lapen, D

Chien, L

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Authors

Kross, A

Kaur, G

Callegari, D

Lapen, D

Sunohara, M

McNairn, H

Rudy, H

van Vliet, L

Kross, A

Kaur, G

Znoj, E

Callegari, D

Sunohara, M

McNairn, H

Lapen, D

Rudy, H

van Vliet, L

Chien, L

Topics

Decision Support Systems

Proximal and Remote Sensing of Soil and Crop (including Phenotyping)

Type

Poster

Year

2018

2025

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Authors

Filter results3 paper(s) found.
1. Spatial Decision Support System: Controlled Tile Drainage – Calculate Your Benefits Climate projection studies suggest that extreme heat waves and floods will become more frequent, affecting future crop yields by 20%-30%, globally. Managing vulnerability and risk begins at the farm level where best management practices can reduce the impacts associated with extreme weather events. A practice that can assist in mitigating the impact of some extreme events is controlled tile drainage (CTD). With CTD, producers use water flow control structures to manage the drainage of water from... A. Kross, G. Kaur, D. Callegari, D. Lapen, M. Sunohara, H. Mcnairn, H. Rudy, L. Van Vliet Download paper
2. Evaluation of an Artificial Neural Network Approach for Prediction of Corn and Soybean Yield The ability to predict crop yield during the growing season is important for crop income, insurance projections and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and the interrelated predictor variables. Artificial neural networks (ANNs) are useful for such complex systems as they can capture non-linear relationships of data without explicitly knowing the underlying processes. In this study, an ANN-based... A. Kross, G. Kaur, E. Znoj, D. Callegari, M. Sunohara, H. Mcnairn, D. Lapen, H. Rudy, L. Van Vliet Download paper
3. Automatic Air-exchange Whole-plant Carbon Sequestration Measurement System in Potted Native Taiwanese Plant Applications As the climate crisis accelerates, reliable data on the carbon‐sequestration capacity of native plants are needed to guide nature-based mitigation strategies. Accurate, whole-plant assessments of carbon sequestration are crucial for identifying native species that can efficiently reduce atmospheric carbon dioxide, yet most plant physiology studies rely on costly instruments limited to leaf-level measurements. We therefore designed a low-cost, closed-chamber system that automatically refresh... L. Chien Download paper

Filter results3 paper(s) found.

1. Spatial Decision Support System: Controlled Tile Drainage – Calculate Your Benefits

Climate projection studies suggest that extreme heat waves and floods will become more frequent, affecting future crop yields by 20%-30%, globally. Managing vulnerability and risk begins at the farm level where best management practices can reduce the impacts associated with extreme weather events. A practice that can assist in mitigating the impact of some extreme events is controlled tile drainage (CTD). With CTD, producers use water flow control structures to manage the drainage of water from... A. Kross, G. Kaur, D. Callegari, D. Lapen, M. Sunohara, H. Mcnairn, H. Rudy, L. Van Vliet

Download paper

2. Evaluation of an Artificial Neural Network Approach for Prediction of Corn and Soybean Yield

The ability to predict crop yield during the growing season is important for crop income, insurance projections and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and the interrelated predictor variables. Artificial neural networks (ANNs) are useful for such complex systems as they can capture non-linear relationships of data without explicitly knowing the underlying processes. In this study, an ANN-based... A. Kross, G. Kaur, E. Znoj, D. Callegari, M. Sunohara, H. Mcnairn, D. Lapen, H. Rudy, L. Van Vliet

Download paper

3. Automatic Air-exchange Whole-plant Carbon Sequestration Measurement System in Potted Native Taiwanese Plant Applications

As the climate crisis accelerates, reliable data on the carbon‐sequestration capacity of native plants are needed to guide nature-based mitigation strategies. Accurate, whole-plant assessments of carbon sequestration are crucial for identifying native species that can efficiently reduce atmospheric carbon dioxide, yet most plant physiology studies rely on costly instruments limited to leaf-level measurements. We therefore designed a low-cost, closed-chamber system that automatically refresh... L. Chien

Download paper