This workshop is supported by Translational AI Center @ Iowa State University

Today, efficient and cost-effective sensors as well as high performance computing technologies are looking to transform traditional plant-based agriculture into an efficient cyber-physical system. The easy availability of cheap, deployable, connected sensor technology has created an enormous opportunity to collect vast amount of data at varying spatial and temporal scales at both experimental and production agriculture levels. Therefore, both offline and real-time agricultural analytics that assimilates such heterogeneous data and provides automated, actionable information is a critical needed for sustainable and profitable agriculture.

Data analytics and decision-making for Agriculture has been a long-standing application area. The application of advanced machine learning methods to this critical societal need can be viewed as a transformative extension for the agriculture community. In this workshop, we intend to bring together academic and industrial researchers and practitioners in the fields of machine learning, data science and engineering, plant sciences and agriculture, in the collaborative effort of identifying and discussing major technical challenges and recent results related to machine learning-based approaches. This year the theme of the workshop will be Building Digital Twins for Ultra-precision Agriculture which will explore the recent advances in building virtual representations of plants, plots to fields using advances sensing, computational approaches, machine learning, scientific principles and domain knowledge. It will feature invited talks, oral/poster presentation of accepted papers, a machine learning competition and a panel discussion.

  • Proceedings: Here
  • Date: CDT (UTC -5) Mon, 10 Oct 2022 08:00 ~ CDT (UTC -5) Tue, 11 Oct 2022 12:00
  • Venue: The workshop will be conducted in Hybrid mode
    in - person at
    ISU Alumni Center, Ball Room, Second Floor,
    429 Alumni Lane,
    Ames IA 50011-1403
    (in the Iowa State Center complex between C.Y. Stephens Auditorium and Jack Trice Stadium)
Registration Type Attendance Type Before 9/16 After 9/16
Student In-Person
Virtual		 $25
$15		 $30
$20
Faculty In-Person
Virtual		 $50
$30		 $75
$50
Industry In-Person
Virtual		 $200
$100		 $250
$150
Gold Sponsors
John Deere Logo
Bayer Logo
Silver Sponsors
Corteva Agriscience Logo Syngenta Logo

More information on sponsorship given here

Call for Papers

Target Participants

We invite extended 2-page-abstract for oral and/or poster presentations on topics Including but not limited to machine learning applications to plant phenotyping, plant pathology (e.g., disease scouting), plant breeding (e.g., yield prediction) and enabling smart farm management practices. We particularly encourage ML concepts applied to plant breeding, field-based experiments, production agriculture as well as lab based controlled experiments. We also encourage work that result in creating annotated benchmark datasets for ML in agriculture.

Guidelines
  • Guidelines for Extended abstract submissions: Up to 2 pages including figures and tables (excluding references). Extended abstract template.
  • Submission Guidelines: Submissions are through Microsoft CMT. If you do not have a Microsoft CMT account, please create one first. If you already have a Microsoft CMT account, please login to your account and enter as an author for MLCAS 2022 by following this link.
Publication of Papers

Select papers from the workshop will be published in the special issue of journal "Plant Phenomics".

Important Dates
  • Submission open: 06/30/2022
  • Paper (extended abstract) deadline: 08/15/2022 (Monday, AoE) 08/22/2022 (Monday, AoE) 08/28/2022 (Sunday, AoE)
  • Decision sent to authors: 09/05/2022
  • Workshop date: October 10-11, 2022

Workshop Organization

Organizing Committee
  • Soumik Sarkar, Associate Professor, Mechanical Engineering, Iowa State University.
  • Baskar Ganapathysubramanian, Professor, Mechanical Engineering, Iowa State University
  • Asheesh K. Singh, Professor, Department of Agronomy, Iowa State University.
  • Arti Singh, Assistant Professor, Department of Agronomy, Iowa State University
  • Wei Guo, Assistant Professor, Field Phenomics Laboratory, Graduate School of Agriculture and Life Sciences, The University of Tokyo.
  • Masayuki Hirafuji,Project Professor, Field Phenomics Laboratory, Graduate School of Agriculture and Life Sciences, The University of Tokyo.
  • Seishi Ninomiya, Project Professor, Field Phenomics Laboratory, Graduate School of Agriculture and Life Sciences, The University of Tokyo.

Plenary Speakers

Click button to see details, click again to hide
alternative
Jahmy Hindman
Bio

Keynote Speakers

Click button to see details, click again to hide
alternative
Professor
Zhenong Jin
Bio

Title: Scalable quantification of field-level agricultural carbon outcomes

alternative
Professor
Tarek Zohdi
Bio

Title: Modeling and Simulation Tools for Industrial and Societal Research Applications: Digital Twins and Genome-based Machine-learning

alternative
Professor
Fumio Okura
Bio

Title: 3D structural reconstruction of plants: A perspective from computer vision study

alternative
Professor
Aarti Singh
Bio

Title: AI enabled sequential decision making

alternative
Professor
Koshizuka Noboru
Bio

Title: Data-Driven Solution and Agriculture

Program

Day 1-1

America/Chicago Mon, 10 Oct 2022 08:00 ~ 12:00

Day 1-2

America/Chicago Mon, 10 Oct 2022 12:00 ~ 20:00

Day 2

America/Chicago Tue, 11 Oct 2022 08:00 ~ 12:00
Breakfast/Welcome address Lunch Breakfast
Prof. Fumio OKURA
Osaka University		 Prof. Tarek ZOHDI
University of California, Berkeley		 Prof. Koshizuka NOBORU
Graduate School of Interdisciplinary Information Studies
3 Contributed Talks 3 Contributed Talks 2 Contributed Talks
and
Competition winners
Break Coffee
Poster sessions
networking		 Break
Prof. Zhenong JIN
University of Minnesota		 Dinner with Jahmy HINDMAN
CTO, John Deere		 Prof. Aarti SINGH
Carnegie Mellon University
3 Contributed talks Start-up roundtable
Concluding remarks

Proceedings

Time zone: America/Chicago

08:00-08:30

Breakfast/Welcome Address

08:30-09:00

Keynote 1: 3D structural reconstruction of plants: A perspective from computer vision study

Prof. Fumio OKURA

09:00-10:00

Contributed Talks

D1C1

Deep-learning in 3D from virtual plants for segmentation and completion tasks

David Colliaux (Sony CSL)*; Fabrice Besnard (ENS Lyon); Ayan Chaudhury (Indian Institute of Technology Kharagpur); Mona Sheikh Zeinoddin (Sony CSL); Peter Hanappe (Sony CSL Paris); Christophe Godin (INRIA Virtual Plants)

D1C2

Genetically driven autoencoders for trait quantification using hyperspectral leaf reflectance in a maize panel.

Michael Tross (University of Nebraska-Lincoln)*; Talukder Z. Jubery (Iowa State University); Anirudha A Powadi (Iowa State University); Yufeng Ge (University of Nebraska-Lincoln); Baskar Ganapathysubramanian (Iowa State University); James Schnable (University of Nebraska–Lincoln)

D1C3

Multi-Modal Aerial Mapping for Deep Learning-Based Phenotyping

Winnie Kuang (Carnegie Mellon University Robotics Institute)*; David Russell (Carnegie Mellon University); Francisco J Yandun (Carnegie Mellon University)

10:00-10:15

Break

10:15-11:00

Keynote 2: Scalable quantification of field-level agricultural carbon outcomes

Prof. Zhenong JIN

11:00-12:00

Contributed Talks

D1C4

Grape Cold Hardiness Prediction via Multi-Task Learning

Aseem Saxena (Oregon State University)*; Paola Pesantez-Cabrera (Washington State University); Rohan Ballapragada (Oregon State University); Kin-Ho Lam (Oregon State University); Markus Keller (Washington State University); Alan Fern (Oregon State University)

D1C5

Procedural generation of 3D maize models for LAI prediction

Ryan J Hoffman (Corteva Agriscience)*

D1C6

A self-supervised insect-pests detection app for precision agriculture

Shivani Chiranjeevi (Iowa State University)*; KOUSHIK NAGASUBRAMANIAN (Iowa State University); Matthew Carroll (Iowa State University); Sahishnu Hanumolu (South Fayette Township High School); Aditya Gupta (William Fremd High School); Talukder Zaki Jubery (Iowa State University); Soumik Sarkar (Iowa State University); Asheesh K. Singh (Iowa State University); Arti Singh (Iowa State University); Baskar Ganapathysubramanian (Iowa State University)

12:00-13:30

Lunch

13:30-14:15

Keynote 3: Modeling and Simulation Tools for Industrial and Societal Research Applications: Digital Twins and Genome-based Machine-learning

Prof. Tarek Zohdi

14:15-15:15

Contributed Talks

D1C7

Hierarchical Transfer Learning on Scaled-YOLOv4 for Insect Detection

Fateme Fotouhi (Iowa State University); Kevin Menke (Missouri University of Science and Technology); Aaron Prestholt (Iowa Soybean Association ); Ashish Gupta (Missouri University of Science and Technology, Rolla); Mattew Carroll (Iowa State University); Sajal K. Das (Missouri University of Science and Technology); Petro Kyveryga (Iowa State University); Baskar Ganapathysubramanian (Iowa State University); Arti Singh (Iowa State University); Asheesh K. Singh (Iowa State University); Soumik Sarkar (Iowa State University)*

D1C8

A small subset of genes can predict of complex trait with high accuracy in maize

Vladimir J Torres-Rodriguez (University of Nebraska-Lincoln)*; James Schnable (University of Nebraska–Lincoln)

D1C9

A Japan-Indo bilateral research project - Data science-based farming support system for sustainable crop production under climatic change

Seishi Ninomiya (The University of Tokyo)*

15:15-16:30

Coffee + Poster sessions + Networking

18:00-20:00

Dinner with Jahmy Hindman

08:00-08:30

Breakfast

08:30-09:00

Keynote 1: Data-Driven Solution and Agriculture

Prof. Koshizuka NOBORU

09:00-10:00

Contributed Talks + Competition Winners

D2C1

Quantifying the field-scale implications of natural variation in soybean leaf optical properties on carbon assimilation and water use

Darren T Drewry (Ohio State University)*

D2C2

Train deep learning-based plant phenotyping model with small dataset

Wei Guo (The University of Tokyo)*

CWT1

Competition Talk 1

Jiangsan Zhao

CWT2

Competition Talk 2

Michael Nawar

CWT3

Competition Talk 3

Zahra Khalilzadeh

10:00-10:15

Break

10:15-11:00

Keynote 2: AI enabled sequential decision making

Prof. Aarti Singh

11:00-11:45

Start-up roundtable

11:45-12:00

Concluding Remarks

Accepted Works

Title

Authors
Grape Cold Hardiness Prediction via Multi-Task Learning Aseem Saxena (Oregon State University)*; Paola Pesantez-Cabrera (Washington State University); Rohan Ballapragada (Oregon State University); Kin-Ho Lam (Oregon State University); Markus Keller (Washington State University); Alan Fern (Oregon State University)
Genetically driven autoencoders for trait quantification using hyperspectral leaf reflectance in a maize panel. Michael Tross (University of Nebraska-Lincoln)*; Talukder Z. Jubery (Iowa State University); Anirudha A Powadi (Iowa State University); Yufeng Ge (University of Nebraska-Lincoln); Baskar Ganapathysubramanian (Iowa State University); James Schnable (University of Nebraska–Lincoln)
Prediction of Leaf Angles Using 2D Images in a Sorghum Diversity Panel Ryleigh J Grove (University of Nebraska-Lincoln)*; Michael Tross (University of Nebraska-Lincoln); James Schnable (University of Nebraska–Lincoln)
Exploring the fragility of deep learning in plant stress detection problems Nasla Saleem (Iowa State University)*; Talukder Zaki Jubery (Iowa State University); KOUSHIK NAGASUBRAMANIAN (Iowa State University); Soumik Sarkar (Iowa State University); Asheesh K. Singh (Iowa State University); Arti Singh (Iowa State University); Baskar Ganapathysubramanian (Iowa State University)
Deep-learning in 3D from virtual plants for segmentation and completion tasks David Colliaux (Sony CSL)*; Fabrice Besnard (ENS Lyon); Ayan Chaudhury (Indian Institute of Technology Kharagpur); Mona Sheikh Zeinoddin (Sony CSL); Peter Hanappe (Sony CSL Paris); Christophe Godin (INRIA Virtual Plants)
Using hyperspectral reflectance from maize hybrids and their inbred parents to investigate hybrid vigor for leaf traits Brooke A Bouwens (Manchester University )*
Procedural generation of 3D maize models for LAI prediction Ryan J Hoffman (Corteva Agriscience)*
A small subset of genes can predict of complex trait with high accuracy in maize Vladimir J Torres-Rodriguez (University of Nebraska-Lincoln)*; James Schnable (University of Nebraska–Lincoln)
Smart Quantification and Localization of Aphids Using Scaled-YOLOv4 Fateme Fotouhi (Iowa State University); Isaac Baccam (College of William and Mary ); Dinakaran Elango (Iowa State University); Samuel Blair (Iowa State University); Antonella Ferela (Iowa State University); Liza Van der Laan (Iowa State University); Matthew O'Neal (Iowa State University); Baskar Ganapathysubramanian (Iowa State University); Arti Singh (Iowa State University); Asheesh K. Singh (Iowa State University); Soumik Sarkar (Iowa State University)*
Hierarchical Transfer Learning on Scaled-YOLOv4 for Insect Detection Fateme Fotouhi (Iowa State University); Kevin Menke (Missouri University of Science and Technology); Aaron Prestholt (Iowa Soybean Association ); Ashish Gupta (Missouri University of Science and Technology, Rolla); Mattew Carroll (Iowa State University); Sajal K. Das (Missouri University of Science and Technology); Petro Kyveryga (Iowa State University); Baskar Ganapathysubramanian (Iowa State University); Arti Singh (Iowa State University); Asheesh K. Singh (Iowa State University); Soumik Sarkar (Iowa State University)*
Self-supervised learning for label efficient corn kernel classification David Dong (Iowa State University); KOUSHIK NAGASUBRAMANIAN (Iowa State University); Ruidong Wang (Iowa State University); Ursula Frei (Iowa State University); Talukder Zaki Jubery (Iowa State University); Thomas Lubberstedt (Iowa State University); Baskar Ganapathysubramanian (Iowa State University)*
Virtual reality assisted stress tolerance rating of soybean varieties Shambhavi Joshi (Iowa State University)*; Anushrut Jignasu (Iowa State University); Therin Young (Iowa State University); Dinakaran Elango (Iowa State University); Talukder Zaki Jubery (Iowa State University); Sarah Jones (Iowa State University); Aditya Balu (Iowa State University); Arti Singh (Iowa State University); Baskar Ganapathysubramanian (Iowa State University); Asheesh K. Singh (Iowa State University); Adarsh Krishnamurthy (Iowa State University)
Robotic Manipulation for Plant Interaction Using Reinforcement Learning David Leguizamo (Iowa State University); Yogesh Chawla (IIT KGP); Kumar Saurabh (Iowa State University); Xian Yeow Lee (Iowa State University); Arti Singh (Iowa State University); Asheesh K. Singh (Iowa State University); Baskar Ganapathysubramanian (Iowa State University); Soumik Sarkar (Iowa State University)*
Transferability of VIR-NIR-SWIR spectroscopy model for predicting sorghum leaf traits Deniz Istipliler (University of Nebraska Lincoln)*; Marcin Grzybowski (University of Nebraska Lincoln); Mackenzie Mackenzie Zwiener (University of Nebraska Lincoln); Yufeng Ge (Department of Biological Systems Engineering, University of Nebraska-Lincoln); James Schnable (University of Nebraska–Lincoln)
A virtual framework for estimating canopy light interception of field-grown maize Nasla Saleem (Iowa State University)*; Therin Young (Iowa State University); Yan Zhou (Iowa State University); Jiale Feng (Iowa State University); Anushrut Jignasu (Iowa State University); Aditya Balu (Iowa State University); Talukder Zaki Jubery (Iowa State University); Patrick Schnable (Plant Sciences Insititute, Iowa State University, Ames, IA); Soumik Sarkar (Iowa State University); Adarsh Krishnamurthy (Iowa State University); Baskar Ganapathysubramanian (Iowa State University)
Self-Supervised Multimodal Data Fusion Strategies for Crop Canopy Reflectance Anirudha A Powadi (Iowa State University)*; Timilehin Ayanlade (Iowa State University); Yogesh Chawla (Iowa State University); Sarah Jones (Iowa State University); Talukder Zaki Jubery (Iowa State University); Arti Singh (Iowa State University); Asheesh K. Singh (Iowa State University); Soumik Sarkar (Iowa State University); Baskar Ganapathysubramanian (Iowa State University)
Compositional Autoencoders to disentangle genotype and environment specific latent traits Anirudha A Powadi (Iowa State University)*; Michael Tross (University of Nebraska-Lincoln); Zihao Zhang (Iowa State University); Talukder Zaki Jubery (Iowa State University); Patrick Schnable (Plant Sciences Insititute, Iowa State University, Ames, IA); James Schnable (University of Nebraska–Lincoln); Baskar Ganapathysubramanian (Iowa State University)
Out-of-distribution algorithms for robust insect-pests classification Mojdeh Saadati (Iowa State University)*; Shivani Chiranjeevi (Iowa State University); Aditya Balu (Iowa State University); Talukder Zaki Jubery (Iowa State University); KOUSHIK NAGASUBRAMANIAN (Iowa State University); Asheesh K. Singh (Iowa State University); Soumik Sarkar (Iowa State University); Arti Singh (Iowa State University); Baskar Ganapathysubramanian (Iowa State University)
A self-supervised insect-pests detection app for precision agriculture Shivani Chiranjeevi (Iowa State University)*; KOUSHIK NAGASUBRAMANIAN (Iowa State University); Matthew Carroll (Iowa State University); Sahishnu Hanumolu (South Fayette Township High School); Aditya Gupta (William Fremd High School); Talukder Zaki Jubery (Iowa State University); Soumik Sarkar (Iowa State University); Asheesh K. Singh (Iowa State University); Arti Singh (Iowa State University); Baskar Ganapathysubramanian (Iowa State University)
3D point cloud data for plant stress phenotyping Shivani Chiranjeevi (Iowa State University)*; Therin Young (Iowa State University); Dinakaran Elango (Iowa State University); KOUSHIK NAGASUBRAMANIAN (Iowa State University); Talukder Zaki Jubery (Iowa State University); Soumik Sarkar (Iowa State University); Asheesh K. Singh (Iowa State University); Arti Singh (Iowa State University); Baskar Ganapathysubramanian (Iowa State University)
AgGym: A novel Gym environment for designing RL agents for biotic stress mitigation in agriculture Kai Liang Tan (Iowa State University); Matthew E Carroll (Iowa State University); Mahsa Khosravi (Iowa State University); Liza Van der Laan (Iowa State University); Daren S Mueller (Iowa State University); Arti Singh (Iowa State University); Baskar Ganapathysubramanian (Iowa State University); Asheesh K. Singh (Iowa State University); Soumik Sarkar (Iowa State University)*
A Japan-Indo bilateral research project - Data science-based farming support system for sustainable crop production under climatic change Seishi Ninomiya (The University of Tokyo)*
Skeleton Extraction of Self-Occluded Tree Canopies Chung Hee Kim (CMU Robotics Institute)*; George Kantor (CMU)
Realistic Simulation Environments to Achieve Visual Servoing on Soft Continuum Arms in Constrained Environments Shivani Kamtikar (University of Illinois at Urbana Champaign )*; Eric Ji (University of Illinois at Urbana Champaign); Naveen Kumar Uppalapati (University of Illinois at Urbana Chamapaign); Girish Krishnan (University of Illinois at Urbana Champaign); Girish Chowdhary (University of Illinois at Urbana Champaign)
Utility of Explainable Machine Learning (eXML) for the Prediction of Stomatal Conductance Srishti Gaur (The Ohio State University)*; Darren T Drewry (Ohio State University)
Evolution of IoT in Open Fields Masayuki Hirafuji (The University of Tokyo)*
Crop Yield Prediction for US Corn Belt by Integrating Crop Simulation with Machine Learning Models Saiara Samira Sajid (Iowa State University)*; Isaiah Huber (Iowa State University); Mohsen Shahhosseini (Iowa State University); Guiping Hu (Iowa State University ); Sotirios Archontoulis (Iowa State University)
Robotic Field-based Plant Architectural Traits Characterization Using Stereo Vision and Deep Neural Networks Lirong Xiang (NC State University)*; Xuan Liu (Iowa State Univ); Aditya Raj (Iowa State Univ); Jianming Yu (Iowa State Univ); Patrick Schnable (Plant Sciences Insititute, Iowa State University, Ames, IA); Lie Tang (Iowa State University)
Extracting patterns in cold hardiness data using topological data analysis Sejal Welankar (Washington State University)*; Paola Pesantez-Cabrera (Washington State University); Ananth Kalyanaraman (Washington State University)
Vigor estimation through segmentation for grapevine pruning Franz E Schneider (CMU)*; Abhisesh Silwal (Carnegie Mellon University); George Kantor (CMU)
Quantifying the field-scale implications of natural variation in soybean leaf optical properties on carbon assimilation and water use Darren T Drewry (Ohio State University)*
Multi-Modal Aerial Mapping for Deep Learning-Based Phenotyping Winnie Kuang (Carnegie Mellon University Robotics Institute)*; David Russell (Carnegie Mellon University); Francisco J Yandun (Carnegie Mellon University)
Train deep learning-based plant phenotyping model with small dataset Wei Guo (The University of Tokyo)*

Competition

Winners
Jiangsan Zhao (University of Tokyo, Japan)
Michael Nawar (Cairo University, Egypt)
Zahra Khalilzadeh (Iowa State University, USA)
Topic
Soybean Pod Counting Challenge
Important Dates
  • July 13: Start Date
  • July 25 August 15: Team composition Deadline
  • August 19 August 26: Start of the Test Phase
  • August 26 September 2: Final Submission Deadline
  • September 5 September 5: Announcement of Results
Award amounts
  • 1st prize : $2000
  • 2nd prize : $1500
  • 3rd prize: $1000
Datasets

Datasets will be made available here.

Disclaimer

Participant teams must finalize their team members before the composition deadline is on August 15. teams joining after August 15 cannot change their team member composition during the competition phase. Prizes will be awarded to the winning teams. Funds will be paid in the most efficient manner, typically a check to winners living in the US with payment to each team member (up to 5 participants maximum). The team contact can suggest the distribution for the team members. If a team has more than five participants, five or fewer participants need to be identified to receive the prize money. For teams outside the US, prize money will be wired to a single individual representing the team. We will need full wire instructions in an appropriate format. Please note that there will be a wire fee on the receiving end of the transaction based on the recipient's bank/financial institution. At this time, we are unable to send wires to Iran, Cuba, North Korea, or Syria, therefore no prizes will be awarded there. Please note that prizes are tax reportable in the United States. Tax forms are required for payment recipients. US Citizens or permanent US residents: Form W9 including social security number and Foreign individuals: Form W-8BEN

Contacts

Please use the discussion forum if you have any questions related to the challenge or contact us: mlcas2022challenge@gmail.com

  • Zaki Jubery, Research Scientist, Translational AI Center, Iowa State University: znjubery@iastate.edu
  • Jiale Feng, Ph.D. student, Iowa State University: colour@iastate.edu

Sponsorship Information

  • Gold sponsors -- $10K, 4 free registrations, 1 sponsor table/booth
  • Silver sponsors -- $5K, 2 free registrations, 1 sponsor table/booth
  • Bronze sponsors -- $2K, 1 free registration
Translational AI Center Logo AI Institute for Resilient Agriculture COntext-Aware LEarning for Sustainable CybEr-agricultural (COALESCE) systems Japan Science and Technology Agency Logo National Science Foundation CIGR International Commision of Agricultural and Biosystems Engineering Japanese Society of Agricultural information

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