High-Throughput Plant Phenotyping
2 researchers across 1 institution
Researchers investigate plant traits and performance at scale, employing automated systems and advanced imaging technologies to collect vast amounts of data. This work addresses fundamental questions about how genetic makeup, environmental conditions, and agricultural practices influence plant growth, development, and yield. Techniques include the use of sensors, drones, and robotic platforms to monitor characteristics such as plant height, leaf area, canopy temperature, and disease presence across numerous plant varieties or experimental plots simultaneously. The goal is to accelerate the understanding of plant biology and improve crop breeding and management strategies.
This research directly supports Arkansas’s significant agricultural economy, which relies heavily on crops like rice, soybeans, and cotton. By developing methods to quickly assess plant performance and stress tolerance, scientists contribute to breeding more resilient and productive varieties suited to regional climate conditions and soil types. This can enhance crop yields, reduce losses due to environmental stressors, and improve the sustainability of farming practices across the state. Advancements in this area also have implications for understanding plant responses to changing environmental factors relevant to Arkansas's natural resources.
This field draws upon and contributes to plant physiology, genomics, plant stress responses, and agronomic practices. Engagement spans multiple institutions within Arkansas, fostering a collaborative environment for advancing agricultural science and technology.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Argelia Lorence | Arkansas State University | 25 | 2,731 | ARA High Impact | |
| Karina Medina‐Jiménez | Arkansas State University | 6 | 112 |