Paul de la Warr

Papers

1

Total Citations

2

H-Index

1

About

Paul de la Warr is a leading researcher in precision agriculture, with a primary focus on developing innovative, low-input weed control systems for field vegetables. His work directly addresses the critical challenge of reducing herbicide use in the face of tightening regulations and consumer demand for more sustainable food production. De la Warr’s most significant contribution is his pioneering research on precision targeting of herbicide droplets, which has demonstrated the potential to reduce herbicide inputs by at least 90% compared to conventional broadcast spraying. This breakthrough, detailed in his highly cited 2017 paper, was achieved through a collaborative project between the University of Reading and Concurrent Solutions LLC in the USA, leading to the development of a robotic weeder. While his citation count is currently modest, the practical implications of his work are profound, offering a viable pathway to drastically lower the environmental footprint of vegetable farming while maintaining effective weed control. De la Warr’s research is at the forefront of a paradigm shift towards data-driven, site-specific crop management.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Precision targeting of herbicide droplets potentially reduces herbicide inputs by at least 90
2 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago