Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Gowler, A

Glavin, M

Gulandaz, M

» Add more authors

Add filter to result:

Authors

Ferreyra, R

Applegate, D.B

Berger, A.W

Berne, D.T

Craker, B.E

Daggett, D.G

Gowler, A

Bullock, R.J

Haringx, S.C

Hillyer, C

Howatt, T

Nef, B.K

Rhea, S.T

Russo, J.M

Nieman, S.T

Sanders, P

Wilson, J.A

Wilson, J.W

Tevis, J.W

Stelford, M.W

Shearouse, T.W

Schultz, E.D

Reddy, L

Gulandaz, M

KABIR, M

Shafik, K

Chung, S

Buckmaster, D

Krogmeier, J

Evans, J

Zhang, Y

Glavin, M

Byrne, D

Harkin, S.J

Topics

Standards & Data Stewardship

Proximal and Remote Sensing of Soils and Crops (including Phenotyping)

Artificial Intelligence (AI) in Agriculture

Type

Oral

Year

2016

2024

Home » Authors » Results

Authors

Filter results3 paper(s) found.
1. Toward Geopolitical-Context-Enabled Interoperability in Precision Agriculture: AgGateway's SPADE, PAIL, WAVE, CART and ADAPT AgGateway is a nonprofit consortium of 240+ businesses working to promote, enable and expand eAgriculture. It provides a non-competitive collaborative environment, transparent funding and governance models, and anti-trust and intellectual property policies that guide and protect members’ contributions and implementations. AgGateway primarily focuses on implementing existing standards and collaborating with other organizations to extend them when necessary. In 2010 AgGateway identified... R. Ferreyra, D.B. Applegate, A.W. Berger, D.T. Berne, B.E. Craker, D.G. Daggett, A. Gowler, R.J. Bullock, S.C. Haringx, C. Hillyer, T. Howatt, B.K. Nef, S.T. Rhea, J.M. Russo, S.T. Nieman, P. Sanders, J.A. Wilson, J.W. Wilson, J.W. Tevis, M.W. Stelford, T.W. Shearouse, E.D. Schultz, L. Reddy Download paper
2. Yield Monitoring System for Radish and Cabbage Under Korean Field Conditions Yield monitoring is considered an essential tool to optimize resource utilization and provide an accurate assessment of crops for drylands. The objective of this study was to assess mass-based and volume-based yield monitoring under laboratory-simulated and field conditions for cabbage and radish. During the experiment, impact plate angles, conveyor speeds, and falling heights were systematically varied to investigate the effects on cabbage and radish yield during harvesting. Digital filtering... M. Gulandaz, M. Kabir, K. Shafik, S. Chung Download paper
3. In-Field and Loading Crop: A Machine Learning Approach to Classify Machine Harvesting Operating Mode This paper addresses the complex issue of classifying mode of operation (active, idle, stationary unloading, on-the-go unloading, turning) and coordinating agricultural machinery. Agricultural machinery operators must operate within a limited time window to optimize operational efficiency and reduce costs. Existing algorithms for classifying machinery operating modes often rely on heuristic methods. Examples include rules conditioned on machine speed, bearing angle and operational time... D. Buckmaster, J. Krogmeier, J. Evans, Y. Zhang, M. Glavin, D. Byrne, S.J. Harkin Download paper

Filter results3 paper(s) found.

1. Toward Geopolitical-Context-Enabled Interoperability in Precision Agriculture: AgGateway's SPADE, PAIL, WAVE, CART and ADAPT

AgGateway is a nonprofit consortium of 240+ businesses working to promote, enable and expand eAgriculture. It provides a non-competitive collaborative environment, transparent funding and governance models, and anti-trust and intellectual property policies that guide and protect members’ contributions and implementations. AgGateway primarily focuses on implementing existing standards and collaborating with other organizations to extend them when necessary. In 2010 AgGateway identified... R. Ferreyra, D.B. Applegate, A.W. Berger, D.T. Berne, B.E. Craker, D.G. Daggett, A. Gowler, R.J. Bullock, S.C. Haringx, C. Hillyer, T. Howatt, B.K. Nef, S.T. Rhea, J.M. Russo, S.T. Nieman, P. Sanders, J.A. Wilson, J.W. Wilson, J.W. Tevis, M.W. Stelford, T.W. Shearouse, E.D. Schultz, L. Reddy

Download paper

2. Yield Monitoring System for Radish and Cabbage Under Korean Field Conditions

Yield monitoring is considered an essential tool to optimize resource utilization and provide an accurate assessment of crops for drylands. The objective of this study was to assess mass-based and volume-based yield monitoring under laboratory-simulated and field conditions for cabbage and radish. During the experiment, impact plate angles, conveyor speeds, and falling heights were systematically varied to investigate the effects on cabbage and radish yield during harvesting. Digital filtering... M. Gulandaz, M. Kabir, K. Shafik, S. Chung

Download paper

3. In-Field and Loading Crop: A Machine Learning Approach to Classify Machine Harvesting Operating Mode

This paper addresses the complex issue of classifying mode of operation (active, idle, stationary unloading, on-the-go unloading, turning) and coordinating agricultural machinery. Agricultural machinery operators must operate within a limited time window to optimize operational efficiency and reduce costs. Existing algorithms for classifying machinery operating modes often rely on heuristic methods. Examples include rules conditioned on machine speed, bearing angle and operational time... D. Buckmaster, J. Krogmeier, J. Evans, Y. Zhang, M. Glavin, D. Byrne, S.J. Harkin

Download paper