Precision Agriculture: Using Low-Cost Systems to Acquire Low-Altitude Images

By M. Ponti, A. A. Chaves, F. R. Jorge, G. B. P. D. Costa, A. Colturato, K. Branco. 2016

37 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Ecology, Environmental Engineering, Plant Science, Remote Sensing

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Andreas R. Dengel
2. Benjamin Bischke
3. Patrick Helber
4. Damian Borth
5. Phillip Isola
6. Neil Houlsby
7. Andrew Zisserman
8. Yu Qiao

In Ecology

1. Andreas R. Dengel
2. Damian Borth
3. Patrick Helber
4. Benjamin Bischke
5. Neil Houlsby
6. Phillip Isola
7. Ali Jahanian
8. S. Sankaranarayanan

Citations in the corpus

• EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (2017, background): “With access to such data, applications can be realized in the domains of agriculture, disaster recovery, climate change, urban development, and environmental monitoring [2], [3], [5], [36].”