AG2PI Field Day #31 - Wednesday April 24, 2024
Digital Tools for Agriculture Research - AG2PI "Coconut" Grant Outcomes
Wednesday April 24, 2024
10:30 AM - 12:00 PM
(US Central Time)
Purpose
Discussion of outcomes from two AG2PI coconut
seed grant projects as one built out an image-based phenotyping app and the other a platform for data and tool sharing across the community.
Registration
Register for the virtual event by clicking the link below. Upon registration, you will receive a confirmation email with information about joining the meeting
Field Day RegistrationField Day Recording
Field day recording is now available, click the button below to launch and watch the recording
Watch Field Day RecordingDevelopment of robust imaging systems in Field Book
Although phenotyping is a critical step for plant and animal research, the sheer amount of data that must be collected, analyzed, and stored often results in uncollected traits or reduced population sizes. While imaging and image analysis can alleviate some of these bottlenecks, many common imaging approaches are slow or result in unlabeled data which can complicate analysis or produce unusable data. Over the last year, we've increased support for additional image sources in the Field Book app (including USB Cameras, GoPro's, and Canon DSLRs) while overhauling how images are stored to increase stability and speed. By developing the tools to rapidly collect standardized, high-quality images, we're working to promote continued adoption of image-based phenotyping.
Presenter
Dr. Trevor Rife is an Assistant Professor in the Plant and Environmental Sciences Department at Clemson University. Combining expertise in plant genetics, image analysis, algorithm development, and app deployment, his group develops and validates new methods for data capture in breeding programs. For more than a decade, he has led the development of Field Book, an app used by more than 7,000 breeders around the world to collect their in-field phenotypic data.
Data to Science (D2S) - Open Source Online Platform for UAS HTP Data Management
We will introduce an open-source cyberinfrastructure called D2S (Data to Science) to empower agricultural research scientists to collaborate with researchers with diverse backgrounds without geographical limitations. The goal of the D2S is to foster an open science ecosystem for UAS big data-driven scientific innovations by constructing a sustainable cyberinfrastructure, D2S, where scientists not only share their data and discover data published by other research scientists but also share tools to process, visualize, and analyze the UAS data products.
Presenters
Dr. Jinha Jung is an Associate Professor in the School of Civil Engineering at Purdue University. He is noted for his work in 1) the development of UAS based High Throughput Phenotyping system for agriculture applications, 2) developing algorithms to process UAS data for feature extraction, 3) data fusion of hyperspectral and full-waveform LiDAR data, 4) vegetation structural analysis using LiDAR data, 5) high-performance computing for advanced remote sensing algorithm development, and 6) WebGIS software development using Free and Open Source Software (FOSS).
Benjamin Hancock is a full stack web developer working with Dr. Jinha Jung. He is working as a lead developer of the Data to Science online platform.
Dr. Minyoung Jung is a Postdoctoral Research Associate working with Dr. Jinha Jung. Her work focuses on the utilization of geomatics engineering in various applications such as agriculture and forestry.
