Proceedings :: International Society of Precision Agriculture

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Reicks, G

Correndo, A

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Authors

Hatfield, G

Reicks, G

Carter, E

Hernandez, C

Kyveryga, P

Correndo, A

Prestholt, A

Ciampitti, I

Hernandez, C

Correndo, A

Lacasa, J

Magalhaes Cisdeli, P

Nocera Santiago, G.N

Ciampitti, I

Topics

On Farm Experimentation with Site-Specific Technologies

Artificial Intelligence (AI) in Agriculture

Decision Support Systems

Type

Oral

Poster

Year

2018

2024

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Filter results3 paper(s) found.
1. Can Unreplicated Strip Trials Be Used in Precision On-Farm Experiments? On-farm experiments are used to evaluate a wide variety of products ranging from pesticide and fertilizer rates to the installation of tile drainage. The experimental design for these experiments is usually replicated strip trials. Replication of strip trials is used to estimate experimental error, which is the basis for judging statistical significance of treatment effects. Another consideration for using strip trials is greater within-field variability than smaller fields used... G. Hatfield, G. Reicks, E. Carter Download paper
2. Spatial Predictive Modeling to Quantify Soybean Seed Quality Using Remote Sensing and Machine Learning In recent years, the advancement of artificial intelligence technologies combined with satellite technology is revolutionized agriculture through the development of algorithms that help producers become more sustainable. This could improve the conditions of farmers not only by maximizing their production and minimizing environmental impact but also due to better economic benefits by allowing them to access high-value-added markets. Furthermore, the use of predictive tools that could improve the... C. Hernandez, P. Kyveryga, A. Correndo, A. Prestholt, I. Ciampitti Download paper
3. From Scientific Literature to the End User: Democratizing Access to Data Products Through Interactive Applications In recent years, the sustained advance in the creation of powerful programming libraries is allowing not only the creation of complex models with predictive capabilities but also revolutionizing visualization processes and the deployment of interactive applications. Some of these tools, such as Streamlit or Shiny frameworks in languages such as Python or R, allow us to create from simple applications with friendly interfaces to complex tools. These interactive digital decision dashboards allow... C. Hernandez, A. Correndo, J. Lacasa, P. Magalhaes Cisdeli, G.N. Nocera Santiago, I. Ciampitti Download paper

Filter results3 paper(s) found.

1. Can Unreplicated Strip Trials Be Used in Precision On-Farm Experiments?

On-farm experiments are used to evaluate a wide variety of products ranging from pesticide and fertilizer rates to the installation of tile drainage. The experimental design for these experiments is usually replicated strip trials. Replication of strip trials is used to estimate experimental error, which is the basis for judging statistical significance of treatment effects. Another consideration for using strip trials is greater within-field variability than smaller fields used... G. Hatfield, G. Reicks, E. Carter

Download paper

2. Spatial Predictive Modeling to Quantify Soybean Seed Quality Using Remote Sensing and Machine Learning

In recent years, the advancement of artificial intelligence technologies combined with satellite technology is revolutionized agriculture through the development of algorithms that help producers become more sustainable. This could improve the conditions of farmers not only by maximizing their production and minimizing environmental impact but also due to better economic benefits by allowing them to access high-value-added markets. Furthermore, the use of predictive tools that could improve the... C. Hernandez, P. Kyveryga, A. Correndo, A. Prestholt, I. Ciampitti

Download paper

3. From Scientific Literature to the End User: Democratizing Access to Data Products Through Interactive Applications

In recent years, the sustained advance in the creation of powerful programming libraries is allowing not only the creation of complex models with predictive capabilities but also revolutionizing visualization processes and the deployment of interactive applications. Some of these tools, such as Streamlit or Shiny frameworks in languages such as Python or R, allow us to create from simple applications with friendly interfaces to complex tools. These interactive digital decision dashboards allow... C. Hernandez, A. Correndo, J. Lacasa, P. Magalhaes Cisdeli, G.N. Nocera Santiago, I. Ciampitti

Download paper