Proceedings
Topics
| Filter results16 paper(s) found. |
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1. A Case Study Approach for Teaching and Applying Precision AgricultureStudents often struggle understanding precision agriculture principles and how these principles can be applied to farming operations. A case-study approach that requires students to own a recreational global positioning system (GPS) for collecting on-farm data could be a method for helping students understand and apply precision agriculture. This paper describes a case-study approach to teaching precision agriculture using student owned GPS units and geographical information systems (GIS) sof... J.D. Williams |
2. Map@Syst – Geospatial Solutions for Rural and Community SustainabilityMap@Syst is a part of the USDA Cooperative State Research, Education and Extension Service (CSREES) eXtension online Web information service. eXtension is an educational partnership of more than 70 universities to provide online access to objective, research-based information and educational opportunities. Map@Syst is a Wiki-based Web site assembled and maintained cooperatively by geospatial technology educational specialists and practitioners. Map@Syst is a primary source of geospatial infor... P. Rasmussen, J. Nowatzki |
3. Teaching Critical Thinking Skills Using Geospatial Technology As Instructional ToolsTechniques in data collection and analysis of data are important concepts for students of precision farming. Also needed in conjunction with these concepts are critical thinking and problem solving skills. Employers often list critical thinking skills as one of the most important characteristics for new employees. Helping students experience and acquire critical thinking skills can be difficult. Geospatial technologies are not only useful precision farming tools, they are also educational too... T.A. Brase |
4. Developing a Machine Learning and Proximal Sensing-based In-season Site-specific Nitrogen Management Strategy for Corn in the US MidwestEffective in-season site-specific nitrogen (N) management strategies are urgently needed to ensure both food security and sustainable agricultural development. Different active canopy sensor-based precision N management strategies have been developed and evaluated in different parts of the world. Recent studies evaluating several sensor-based N recommendation algorithms across the US Midwest indicated that these locally developed algorithms generally did not perform well when used broadly acr... D. Li, Y. Miao, .G. Fernández, N.R. Kitchen, C. . Ransom, G.M. Bean, .E. Sawyer, J.J. Camberato, .R. Carter, R.B. Ferguson, D.W. Franzen, D.W. Franzen, D.W. Franzen, D.W. Franzen, C.A. Laboski, E.D. Nafziger, J.F. Shanahan |
5. Symposium Welcome and Introductions... J. Lowenberg-deboer |
6. How Does an Autonomous Tractor See the World... G. Bansal |
7. Transforming Row Crop Agriculture: Harnessing Computer Vision and AI for Automation and Autonomy... A. Sharda |
8. Swarm Farming is the Future... C. Rupp |
9. Evolving Nexus of Academia, Industry, and Government to Advance and Realize the Benefits of Robotics in Crop Production Agriculture... E.M. Barnes, M. Scott, S.A. Shearer |
10. Machine Vision, AI, and Robotics in Specialty Crop Production... M. Karkee |
11. Can AI and Automation Transform Specialty Crop Production?... Y. Ampatzidis |
12. Using AI to Estimate Vineyards and Vegetables Vigour and Yield... S. Fountas |
13. I Call Shotgun: Uncovering Human-System/Robot Gaps in Emerging Technologies... Y. Salzer |
14. Stakeholder Inclusion for Responsible Robotics: Who, How, and Why?... D. Rose |
15. Field Crop Robots - Adoption and Farm Level Economics... M. Gandorfer |
16. Development of a Multispectral Vision-based Automated Sweetpotato Grading SystemQuality evaluation and grading of sweetpotatoes is a manual operation that requires significant labor input. Machine vision technology offers a promising solution for automated sweetpotato grading and sorting. Although color imaging is widely used for quality evaluation of various horticultural commodities, a multispectral vision technique that acquires color and near-infrared (NIR) images simultaneously is a potentially more effective modality for fruit grading, especially for defects, while... J. Xu, Y. Lu |