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
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.
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.
Determining soybean plant stand count across different fields using the YOLO network
Maize Yield Prediction Based on Multi-Modality Remote Sensing and Deep Neural Network Models in Nitrogen Management Practice Trials
A novel approach to E3 ubiquitin ligase-substrate interaction prediction in Arabidopsis
Charting the Path to Direct Seeded Rice Farming: Genome-wide Associations for Mesocotyl and Root Lengths
Comparative analysis of grass defense responses to Poaceae-adapted and generalist Lepidopteran herbivores
Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks
Yield Implications and Genetic Architecture of Source-Sink Regulated Senescence in Maize
Mechanisms of infection and response of the fungal wheat pathogen Zymoseptoria tritici during compatible, incompatible and non-host interactions
Effective automatic AI model to identify tree species using phone imagery
Using gene expression patterns as signatures of a biological response reveals the rheostat-like nature of brassinosteroid signaling
Application of multi-input source machine learning for field crops to improve yield predictions
A multi-omics approach to understand cotton fiber development
Shih Yun Lin
A survey of deep learning applications for disease identification and prediction in rice crop
Analyzing the Adoption Status of Digital Agriculture Technologies in Haryana, India: An Ordinal Logistic Regression Model Approach
Alternative splicing: peeling another layer of cold stress response in plants
Ana Gabriela Morales Ona
Integration of Satellite and UAV Imagery for Assessing Corn Nitrogen Status at Early Vegetative Growth Stages
Identification of Anthracnose Resistance Gene in Sorghum bicolor
Sorghum Segmentation and Leaf Counting Using in Silico-Trained Deep Neural Model
Genome-wide, Organ-delimited gene regulatory networks (OD-GRNs) provide high accuracy in candidate TF selection across diverse processes.
Jean Fritz Saint Preux
Using Machine Learning Techniques to Help Predict Maple Sugaring Potentials in Northern US
Bruno Paulus Scheffer
Assessment of Soil Inorganic Nitrogen Status Using Satellite Imagery
Digital Tools for the Assessment of Annual Bluegrass Ecology
Using RGB and Hyperspectral Data to Determine Effects of Cadmium on Six Different Carrot Breeding Lines in the Ag Alumni Phenotyping Facility
Feyisayo Priscilla Akande
Investigating the Role of AtPIEZO as a Possible Mechanoreceptor During Plant Defense
Black soldier fly larvae composting reduced weed seed emergence
Assessing consumption efficiency of TSSM by predatory mites and the influence of biorational products on predator.
Tomato receptor-like cytoplasmic kinase TPK09 mediates plant response to both disease and light stress
Diagnosis of tar spot of corn caused by Phyllachora maydis using Loop-Mediated Isothermal Amplification (LAMP) and conventional PCR.
Multi-scale phenotyping of developing cotton fiber cells
Identifying novel regulators of exocytosis through a chemical genetic screen in Arabidopsis
Carlos Antonio Lopez Manzano
Peppermint (Mentha x piperita) Response to Tiafenacil and Saflufenacil Applied Postharvest
Emerging markets for diversifying agriculture: Case studies in the U.S. Corn Belt
Juan Diego Rojas-Gutierrez
Mapping the genetic basis of heterosis using a panel of Near-Isogenic Lines
Success in Controlled Environment Agriculture: It's the Context that Counts
Karrikin-like signaling pathway is involved in the perception of volatile terpenoids
Effects of ecological intensification on soil health and soybean production in organic grain systems in the Upper Midwest