Unmanned Aerial System (UAS)-Based Phenotyping of Soybean using Multi-sensor Data Fusion and Extreme Learning Machine

By M. Maimaitijiang, A. Ghulam, Paheding Sidike, S. Hartling, M. Maimaitiyiming, K. Peterson, E. Shavers, J. Fishman, J. Peterson, S. Kadam and 2 more. 2017

339 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/c333ab6d4020685fe4fc0b5e1ecad6d5054ba629

How researchers see this paper

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

In Analytical Chemistry

1. Stamatia Bibi
2. Panagiotis G. Sarigiannidis
3. Urs Schmidhalter
4. Dimosthenis C. Tsouros

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 Plant Science

1. Pablo J. Zarco-Tejada
2. Rajeev K. Varshney
3. Chenwei Nie
4. Stamatia Bibi
5. Panagiotis G. Sarigiannidis
6. Urs Schmidhalter
7. Dimosthenis C. Tsouros
8. Matthew P Reynolds

Citations in the corpus

• A Review on UAV-Based Applications for Precision Agriculture (2019, methodology): “Vegetation biomass [22,103] nitrogen status [22,99,103,110] moisture content [109,110] vegetation color [49,54] spectral behavior of chlorophyll [64,99] temperature [64,69] spatial position of an object [32,106] size and shape of different elements and plants vegetation indices [54–56] Soil…”
• High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms (2020, background): “Chlorophyll content [17], [18], [25], [27]–[33]”
• Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review (2020, positive): “The researchers in [106] estimated UAS-based phenotyping (chlorophyll content, nitrogen concentration, and LAI) of soybean combining multi-sensor data fusion, such as high spatial resolution RGB, multispectral and thermal data, and extreme learning machine (Partial Least Squares Regression (PLSR), S”