Early season weed mapping in rice crops using multi-spectral UAV data

By D. Stroppiana, P. Villa, G. Sona, Giulia Ronchetti, G. Candiani, M. Pepe, L. Busetto, M. Migliazzi, Mirco Boschetti. 2018

74 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/2fdd032f4eee98a628dfadbe80a874e10e1e1a84

How researchers see this paper

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

In Ecology

1. Zhenhai Li
2. Tao Yang
3. Pablo J. Zarco-Tejada
4. Bo Ming
5. Rajeev K. Varshney
6. Chenwei Nie
7. Urs Schmidhalter
8. Shaokun Li

In Global and Planetary Change

1. Pablo J. Zarco-Tejada
2. Matthew P Reynolds

In Plant Science

1. Pablo J. Zarco-Tejada
2. Rajeev K. Varshney
3. Chenwei Nie
4. Urs Schmidhalter
5. Matthew P Reynolds
6. Zhenhai Li
7. Yonggui Xiao
8. Malcolm J. Hawkesford

Citations in the corpus

• High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms (2020, methodology): “UAVs equipped with RGB and multispectral cameras have been employed to classify weeds and crops [41], [311].”