Proceedings

Find matching any: Reset
Guangwei, W
Delgadillo, C.A
Flores, P.J
Add filter to result:
Authors
Guangwei, W
Zhijun, M
Liping, C
Weiqiang, F
Jianjun, D
Archer, J.K
Delgadillo, C.A
Shen, F
Mathew, J.J
Flores, P.J
Stenger, J
Miranda, C
Zhang, Z
Das, A.K
Topics
Spatial Variability in Crop, Soil and Natural Resources
Standards & Data Stewardship
Precision Agriculture and Global Food Security
Type
Poster
Oral
Year
2012
2016
2022
Home » Authors » Results

Authors

Filter results3 paper(s) found.

1. Evaluation of Application Effect of the Laser Land Leveling Technology in Typical Areas of China

The technology of laser land leveling can improve the accuracy of land leveling and it is the important measure of improving irrigation efficiency and facilitating more uniform distribution of irrigation water. The technology is more widely used in China in... W. Guangwei, M. Zhijun, C. Liping, F. Weiqiang, D. Jianjun

2. Key Data Ownership, Privacy and Protection Issues and Strategies for the International Precision Agriculture Industry

Precision agriculture companies seek to leverage technology to process greater volumes of data, greater varieties of data, and at a velocity unfathomable to most. The promises of boundless benefits are coupled with risks associated with data ownership, stewardship and privacy. This paper presents some risks related to the management of farm data, in general, as well as those unique to operating in the international arena.  Examples of U.S. and international laws related to data protection... J.K. Archer, C.A. Delgadillo, F. Shen

3. Comparative Analysis of Light-weight Deep Learning Architectures for Soybean Yield Estimation Based on Pod Count from Proximal Sensing Data for Mobile and Embedded Vision Applications

Crop yield prediction is an important aspect of farming and food-production. Therefore, estimating yield is important for crop breeders, seed-companies, and farmers to make informed real-time financial decisions. In-field soybean (Glycine max L.(Merr.)) yield estimation can be of great value to plant breeders as they screen thousands of plots to identify better yielding genotypes that ultimately will strengthen national food security. Existing soybean yield estimation tools,... J.J. Mathew, P.J. Flores, J. Stenger, C. Miranda, Z. Zhang, A.K. Das