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Shirtliffe, S.U
Sinha, N
Cooke, N
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Authors
Nguyen, T
Slaughter, D
Townsley, B
Carriedo, L
Maloof, J
Sinha, N
Binch, A
Cooke, N
Fox, C.W
Attanayake, A.U
Johnson, E.U
Duddu, H.U
Shirtliffe, S.U
Topics
Engineering Technologies and Advances
Applications of Unmanned Aerial Systems
On Farm Experimentation with Site-Specific Technologies
Type
Oral
Year
2016
2018
2022
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1. In-field Plant Phenotyping Using Multi-view Reconstruction: an Investigation in Eggplant

Rapid methods for plant phenotyping are a growing need in agricultural research to help accelerate improvements in crop performance in order to facilitate more efficient utilization of plant genome sequences and the corresponding advancements in associated methods of genetic improvement. Manual plant phenotyping is time-consuming, laborious, frequently subjective, and often destructive. There is a need for building field-deployable systems with advanced sensors that have both high-speed and high-performance... T. Nguyen, D. Slaughter, B. Townsley, L. Carriedo, J. Maloof, N. Sinha

2. Rumex and Urtica Detection in Grassland by UAV

Previous work (Binch & Fox, 2017) used autonomous ground robotic platforms to successfully detect Urtica (nettle) and Rumex (dock) weeds in grassland, to improve farm productivity and the environment through precision herbicide spraying. It assumed that ground robots swathe entire fields to both detect and spray weeds, but this is a slow process as the slow ground platform must drive over every square meter of the field even where there are no weeds. The present study examines a complimentary... A. Binch, N. Cooke, C.W. Fox

3. Modulated On-farm Response Surface Experiments with Image-based High Throughput Techniques for Evidence-based Precision Agronomy

Agronomic research is vital to determining optimum inputs for crops to perform profitably at a local scale. However, the small-plot experiment validity is often uncertain due to on-farm variations. Furthermore, the likelihood of conducting a fully randomized trial at a local farm is low given various practical and technical challenges. We propose a new methodology with many inputs to allow for a response surface that fits the yield response to the input levels with higher accuracy to make on-farm... A.U. Attanayake, E.U. Johnson, H.U. Duddu, S.U. Shirtliffe