Brad Bazemore

Papers

1

Total Citations

2

H-Index

1

About

Brad Bazemore is a researcher focused on advancing robotics for precision agriculture, particularly in spatially and temporally unstructured environments. His most-cited work, “Robotics for Spatially and Temporally Unstructured Agricultural Environments” (2017), introduces the concept of an automated field scout (AFS) designed to monitor the distribution of pests, diseases, nutrient deficiencies, and water stress across agricultural fields. This contribution is pivotal for enabling farmers to assess the effectiveness of management strategies in real time, bridging the gap between data collection and actionable insights. With 2 citations, this foundational paper underscores Bazemore’s role in developing robotic systems that adapt to the dynamic, unpredictable conditions of real-world farms. His work emphasizes practical, scalable solutions that empower growers to make informed decisions, ultimately enhancing crop health and resource efficiency. Bazemore’s research sits at the intersection of robotics, agronomy, and environmental monitoring, offering a vision for more responsive and sustainable agriculture.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Robotics for Spatially and Temporally Unstructured Agricultural Environments
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 10

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago