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Yoo, H
White, S
Yang, L
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Authors
White, S
Adkins, J
Whaley, C
Chung, S
Yoo, H
Hong, S
Yang, L
Huang, L
Meng, L
Wang, J
Wu, D
Fu, X
Li, S
Topics
Precision A-Z for Practitioners
Profitability, Sustainability, and Adoption
Precision Crop Protection
Type
Poster
Oral
Year
2010
2018
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Authors

Filter results3 paper(s) found.

1. Precision Irrigation To Improve Water Use Efficiency

  Efficient water use is the key to sustainable management of water resources.  Over irrigating is wasteful and can lead to leaching of fertilizers and other potential pollutants into both underground and surface water supplies, whereas under irrigation leads to reduced yields.  The spatial and temporal characterization of crop water consumption is important for efficient management of water resources and allows water delivery to match agricultural demands.   Research... S. White, J. Adkins, C. Whaley

2. Pa Adoption By A Korean Rice Farming Group: Case Study Of Pyeongtaek City

Research on precision agriculture (PA) has been conducted in Korea for about 10 years since 1999. Most of the research was focused on rice paddy fields that were flooded, flat, and small sized (e.g., 30 m x 100 m). Accomplishment during the period includes investigation on spatial variability in soil, crop growth, and yield properties, application of imported sensors and variable rate applicators, and development of Korean version of these sensors... S. Chung, H. Yoo, S. Hong

3. Rapid Identification of Mulberry Leaf Pests Based on Near Infrared Hyperspectral Imaging

As one of the most common mulberry pests, Diaphania pyloalis Walker (Lepidoptera: Pyralididae) has occurred and damaged in the main sericulture areas of China. Naked eye observation, the most dominating method identifying the damage of Diaphania pyloalis, is time-wasting and labor consuming. In order to improve the identification and diagnosis efficiency and avoid the massive outbreak of Diaphania pyloalis, near infrared (NIR) hyperspectral imaging technology combined with partial least discriminant... L. Yang, L. Huang, L. Meng, J. Wang, D. Wu, X. Fu, S. Li