Poster Competition

Poster Competition

PLEASE NOTE: Poster abstract submission is now closed.

The top 20 abstracts in each category (see below) will be invited to present their poster at this year's Poster Session and Networking Lunch (Noon-1:15pm, Purina Pavilion). The top presenters in each category will go home with a monetary prize.

Submissions must include:

  • Completed registration for the Purdue University Plant Science Symposium
  • Poster Title
  • Presenting Author and Affiliations
  • All other authors and affiliations
  • 250-word Abstract

Categories

Digital Science

The theme for this year's seminar is centered around ‘computers moving plant science forward'. Therefore, we would like to encourage posters or projects focused on computer influence on plant science. This category will cover topics such as precision agriculture, big data, phenotyping, bioinformatics, AI, and more.

General Science

Though the theme of the seminar is focused on computers, we would also like to encourage participants outside of the digital space to submit their posters and projects. Any projects that involve few or no digital components will be covered by this category.

Poster Entries & Abstracts

Adeayo Adewumi

PhD Student

Determining soybean plant stand count across different fields using the YOLO network

Abstract

 

Claudia Aviles

PhD Student

Maize Yield Prediction Based on Multi-Modality Remote Sensing and Deep Neural Network Models in Nitrogen Management Practice Trials

Abstract

 

Jodi Callwood

PhD Student

A novel approach to E3 ubiquitin ligase-substrate interaction prediction in Arabidopsis

Abstract

 

Akash Datta

PhD Student

Charting the Path to Direct Seeded Rice Farming: Genome-wide Associations for Mesocotyl and Root Lengths

Abstract

 

Kate Eastman

PhD Student

Comparative analysis of grass defense responses to Poaceae-adapted and generalist Lepidopteran herbivores

Abstract

 

Mariela Fernandez

PhD Student

Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks

Abstract

 

Mark Gee

PhD Student

Yield Implications and Genetic Architecture of Source-Sink Regulated Senescence in Maize

Abstract

 

Sandra Gomez

PhD Student

Mechanisms of infection and response of the fungal wheat pathogen Zymoseptoria tritici during compatible, incompatible and non-host interactions

Abstract

 

Yunmei Huang

PhD Student

Effective automatic AI model to identify tree species using phone imagery

Abstract

 

Amanpreet Kaur

Postdoc

Using gene expression patterns as signatures of a biological response reveals the rheostat-like nature of brassinosteroid signaling

Abstract

 

Kevin Lee

PhD Student

Application of multi-input source machine learning for field crops to improve yield predictions

Abstract

 

Youngwoo Lee

Postdoc

A multi-omics approach to understand cotton fiber development

Abstract

 

Shih Yun Lin

Masters Student

A survey of deep learning applications for disease identification and prediction in rice crop

Abstract

 

Hema Lingireddy

PhD Student

Analyzing the Adoption Status of Digital Agriculture Technologies in Haryana, India: An Ordinal Logistic Regression Model Approach

Abstract

 

Jasjit Mangat

Masters Student

Alternative splicing: peeling another layer of cold stress response in plants

Abstract

 

Ana Gabriela Morales Ona

PhD Student

Integration of Satellite and UAV Imagery for Assessing Corn Nitrogen Status at Early Vegetative Growth Stages

Abstract

 

Pascal Okoye

PhD Student

Identification of Anthracnose Resistance Gene in Sorghum bicolor

Abstract

 

Ian Osterman

PhD Student

Sorghum Segmentation and Leaf Counting Using in Silico-Trained Deep Neural Model

Abstract

 

Rajeev Ranjan

Postdoc

Genome-wide, Organ-delimited gene regulatory networks (OD-GRNs) provide high accuracy in candidate TF selection across diverse processes.

Abstract

 

Jean Fritz Saint Preux

Masters Student

Using Machine Learning Techniques to Help Predict Maple Sugaring Potentials in Northern US

Abstract

 

Bruno Paulus Scheffer

Visiting Scholar

Assessment of Soil Inorganic Nitrogen Status Using Satellite Imagery

Abstract

 

Vera Vukovic

PhD Student

Digital Tools for the Assessment of Annual Bluegrass Ecology

Abstract

 

Kathleen Zapf

Masters Student

Using RGB and Hyperspectral Data to Determine Effects of Cadmium on Six Different Carrot Breeding Lines in the Ag Alumni Phenotyping Facility

Abstract

Feyisayo Priscilla Akande

Masters Student

Investigating the Role of AtPIEZO as a Possible Mechanoreceptor During Plant Defense

Abstract

 

Jeanine Arana

PhD Student

Black soldier fly larvae composting reduced weed seed emergence

Abstract

 

Leslie Aviles

PhD Student

Assessing consumption efficiency of TSSM by predatory mites and the influence of biorational products on predator.

Abstract

 

Sara Hailemariam

PhD Student

Tomato receptor-like cytoplasmic kinase TPK09 mediates plant response to both disease and light stress

Abstract

 

Wily Hernandez

Masters Student

Diagnosis of tar spot of corn caused by Phyllachora maydis using Loop-Mediated Isothermal Amplification (LAMP) and conventional PCR.

Abstract

 

Alexander Howell

Postdoc

Multi-scale phenotyping of developing cotton fiber cells

Abstract

 

Xiaohui Li

PhD Student

Identifying novel regulators of exocytosis through a chemical genetic screen in Arabidopsis

Abstract

 

Carlos Antonio Lopez Manzano

Visiting Scholar

Peppermint (Mentha x piperita) Response to Tiafenacil and Saflufenacil Applied Postharvest

Abstract

 

Katherine Pivaral

Masters Student

Emerging markets for diversifying agriculture: Case studies in the U.S. Corn Belt

Abstract

 

Juan Diego Rojas-Gutierrez

PhD Student

Mapping the genetic basis of heterosis using a panel of Near-Isogenic Lines

Abstract

 

Ronald Smith

PhD Student

Success in Controlled Environment Agriculture: It's the Context that Counts

Abstract

 

Shannon Stirling

PhD Student

Karrikin-like signaling pathway is involved in the perception of volatile terpenoids

Abstract

 

Krista Zapata

Masters Student

Effects of ecological intensification on soil health and soybean production in organic grain systems in the Upper Midwest

Abstract