The use of optics and photonics in agriculture is a rapidly emerging and promising area of study, given the potential impact these technologies offer for rapid crop improvement through phenomics research as well optimization of on-farm crop production. This field is in an exciting period of exploration and expansion, as the use of ground- and air-based sensor platforms now permits revolutionizing the measurement of plant traits by adding great detail, high throughput, and concomitantly large data volumes. This conference brings together researchers and practitioners in this field to discuss the latest technologies, methods and findings.

Proximal and remote sensing systems including point and array detectors deployed on automated ground-based and aerial vehicles in the context of production agriculture and/or phenomics are within the scope of this conference. Both active and passive sensing methods as well as sensors based on various light-scattering modes including fluorescence and Raman are pertinent. Optical sensing extending from the UV through the IR where thermal imaging becomes an important methodology is included in the area of interest.

This conference will emphasize ground-based robots and and unmanned aerial vehicles (UAVs) equipped with sensors for measuring phenotypes such as yield, drought tolerance, various stresses, etc. Contributions are sought on sensing technologies; sensor platforms; and data collection, analysis and visualization schemes. While not an exhaustive list, the following exemplifies the technologies and methodologies of interest: BEST PAPER AWARDS: The Conference Chairs and Program Committee would like to recognize pioneers in the field with a Best Paper Award sponsored by Syngenta. Two candidates will be selected: one winner for the Best Paper Award and a Runner-up. This award is open to student and postdoctoral lead authors who present in this conference.

2021 Best Paper Award Winners

Award Winner
Automated calibration pipeline for agricultural sUAS based remote sensing [117470D]. Given to: Wade Pines,Rochester Institute of Technology (United States).

Runner-up
Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information [117470N]. Rui Gao, Utah State University (United States).;
In progress – view active session
Conference SI211

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VII

This conference has an open call for papers:
Show conference sponsors + Hide conference sponsors
Abstract Due: 6 October 2021
Author Notification: 6 December 2021
Manuscript Due: 9 March 2022
The use of optics and photonics in agriculture is a rapidly emerging and promising area of study, given the potential impact these technologies offer for rapid crop improvement through phenomics research as well optimization of on-farm crop production. This field is in an exciting period of exploration and expansion, as the use of ground- and air-based sensor platforms now permits revolutionizing the measurement of plant traits by adding great detail, high throughput, and concomitantly large data volumes. This conference brings together researchers and practitioners in this field to discuss the latest technologies, methods and findings.

Proximal and remote sensing systems including point and array detectors deployed on automated ground-based and aerial vehicles in the context of production agriculture and/or phenomics are within the scope of this conference. Both active and passive sensing methods as well as sensors based on various light-scattering modes including fluorescence and Raman are pertinent. Optical sensing extending from the UV through the IR where thermal imaging becomes an important methodology is included in the area of interest.

This conference will emphasize ground-based robots and and unmanned aerial vehicles (UAVs) equipped with sensors for measuring phenotypes such as yield, drought tolerance, various stresses, etc. Contributions are sought on sensing technologies; sensor platforms; and data collection, analysis and visualization schemes. While not an exhaustive list, the following exemplifies the technologies and methodologies of interest:
  • UAVs for remote sensing in agriculture, including autonomous control issues, imaging workflow issues, and imaging software issues
  • Ground-based robots for phenotyping
  • Hyperspectral imaging
  • Multispectral imaging
  • Lidar
  • Thermal-infrared cameras
  • Fluorescence cameras
  • Mobile Raman spectrometers
  • Image analysis, data management and data visualization
  • Theoretical and empirical estimation techniques including machine learning
BEST PAPER AWARDS: The Conference Chairs and Program Committee would like to recognize pioneers in the field with a Best Paper Award sponsored by Syngenta. Two candidates will be selected: one winner for the Best Paper Award and a Runner-up. This award is open to student and postdoctoral lead authors who present in this conference.

2021 Best Paper Award Winners

Award Winner
Automated calibration pipeline for agricultural sUAS based remote sensing [117470D]. Given to: Wade Pines,Rochester Institute of Technology (United States).

Runner-up
Evapotranspiration partitioning assessment using a machine-learning-based leaf area index and the two-source energy balance model with sUAV information [117470N]. Rui Gao, Utah State University (United States).
Conference Chair
Mississippi State Univ. (United States)
Conference Chair
Utah State Univ. (United States)
Program Committee
KWS SAAT AG (Germany)
Program Committee
Subodh Bhandari
California State Polytechnic Univ., Pomona (United States)
Program Committee
Agricultural Research Service (United States)
Program Committee
Univ. of Nebraska-Lincoln (United States)
Program Committee
Kangwon National Univ. (Korea, Republic of)
Program Committee
Texas A&M Univ. (United States)
Program Committee
Haly Neely
Texas A&M Univ. (United States)
Program Committee
Rochester Institute of Technology (United States)
Program Committee
Univ. of Kentucky (United States)
Program Committee
Sindhuja Sankaran
Washington State Univ. (United States)
Program Committee
Kansas State Univ. (United States)
Program Committee
Yeyin Shi
Univ. of Nebraska-Lincoln (United States)
Additional Information