Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm

By Xiuliang Jin, Zhenhai Li, Guijun Yang, Hao Yang, Haikuan Feng, Xingang Xu, Jihua Wang, Xinchuan Li, Juhua Luo. 2017

140 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/956523988778871204843520ebb615ba619974e2

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. Helge Aasen
2. Achim Walter
3. Frank Liebisch
4. Zhenhai Li
5. Tao Yang
6. Pablo J. Zarco-Tejada
7. Bo Ming
8. Rajeev K. Varshney

In Environmental Engineering

1. Helge Aasen
2. Achim Walter
3. Frank Liebisch
4. Tao Yang
5. Pablo J. Zarco-Tejada
6. Bo Ming
7. Rajeev K. Varshney
8. Chenwei Nie

In Plant Science

1. Achim Walter
2. Pablo J. Zarco-Tejada
3. Rajeev K. Varshney
4. Helge Aasen
5. Chenwei Nie
6. Urs Schmidhalter
7. Frank Liebisch
8. Matthew P Reynolds

Citations in the corpus

• High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms (2020, background): “How to effectively combine these crop phenotyping traits and agronomic indicators to enhance crop field management at different growth stages, and thus implement precision agriculture, will be a long-term goal [243].”
• Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography (2018, background): “Thermal sensing (Neinavaz63 et al., 2016) and radar (Jin et al., 2017) represent additional sources for LAI estimations.”