Field partition by proximal and remote sensing data fusion

By Daniela De Benedetto, Annamaria Castrignanò, M. Diacono, M. Rinaldi, S. Ruggieri, R. Tamborrino. 2013

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Billy Pik Lik Lau
2. Marakkalage Sumudu Hasala
3. Yuren Zhou
4. Chau Yuen
5. Naveed Ul L. Hassan
6. Meng Zhang
7. U-Xuan Tan
8. Wayes Tushar

Citations in the corpus

• A survey of data fusion in smart city applications (2019, background): “Apart from that, electromagnetic induction sensors, vegetarian index, water stress level, and radiance data are combined in [179] to better determine the partition of the crop field.”