Ian P. Craig
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Ian P. Craig has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
Gary Dorr
Centre for Pesticide Application and Safety Univ. of Queensland Gatton Queensland 4343 Australia
2 shared publicationsBrian Young
Food Science Australia Werribee Victoria
1 shared publicationEvan W. Thornhill
International Pesticide Application Research Centre, Imperial College at Silwood Park, Ascot, Berkshire, SL5 7PY, UK
1 shared publication- Giovanni Pioggia
Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), 98164 Messina, Italy
1 shared publication Graham A. Matthews
International Pesticide Application Research Centre, Imperial College at Silwood Park, Ascot, Berkshire, SL5 7PY, UK
1 shared publicationJae Ho Sohn
1 shared publication
Latest Publications
- 1 March 2009
- Published by Elsevier in Biosystems Engineering
- Vol. 102 (3) , 305-312
Identifying major contributing sources to odour annoyance using a non-specific gas sensor array
- 1 March 2009
- Published by Elsevier in Biosystems Engineering
- Vol. 102 (3) , 305-312
Identifying major contributing sources to odour annoyance using a non-specific gas sensor array
- 1 September 2006
- Published by Elsevier in Agricultural Water Management
- Vol. 85 (1-2) , 193-200
Comparison of precise water depth measurements on agricultural storages with open water evaporation estimates
- 1 September 2006
- Published by Elsevier in Agricultural Water Management
- Vol. 85 (1-2) , 193-200
Comparison of precise water depth measurements on agricultural storages with open water evaporation estimates
- 1 June 2004
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 43 (3) , 235-250
The GDS model?a rapid computational technique for the calculation of aircraft spray drift buffer distances
- 1 June 2004
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 43 (3) , 235-250
The GDS model?a rapid computational technique for the calculation of aircraft spray drift buffer distances
- 1 May 2001
- Published by Wiley in Journal of Environmental Quality
- Vol. 30 (3) , 697-701
Spray Drift of Pesticides Arising from Aerial Application in Cotton
This paper presents results from field studies carried out during the 1993–1998 Australian cotton (Gossypium hirsutum L.) seasons to monitor off‐target droplet movement of endosulfan (6,7,8,9,10,10‐hexachloro‐1,5,5a,6,9,9a‐hexahydro‐6,9‐methano‐2,4,3‐benzodioxathiepin 3‐oxide) insecticide applied to a commercial cotton crop. Averaged over a wide range of conditions, off‐target deposition 500 m downwind of the field boundary was approximately 2% of the field‐applied rate with oil‐based applications and 1% with water‐based applications. Mean airborne drift values recorded 100 m downwind of a single flight line were a third as much with water‐based application compared with oil‐based application. Calculations using a Gaussian diffusion model and the U.S. Spray Drift Task Force AgDRIFT model produced downwind drift profiles that compared favorably with experimental data. Both models and data indicate that by adopting large droplet placement (LDP) application methods and incorporating crop buffer distances, spray drift can be effectively managed.
- 1 May 2001
- Published by Wiley in Journal of Environmental Quality
- Vol. 30 (3) , 697-701
Spray Drift of Pesticides Arising from Aerial Application in Cotton
This paper presents results from field studies carried out during the 1993–1998 Australian cotton (Gossypium hirsutum L.) seasons to monitor off‐target droplet movement of endosulfan (6,7,8,9,10,10‐hexachloro‐1,5,5a,6,9,9a‐hexahydro‐6,9‐methano‐2,4,3‐benzodioxathiepin 3‐oxide) insecticide applied to a commercial cotton crop. Averaged over a wide range of conditions, off‐target deposition 500 m downwind of the field boundary was approximately 2% of the field‐applied rate with oil‐based applications and 1% with water‐based applications. Mean airborne drift values recorded 100 m downwind of a single flight line were a third as much with water‐based application compared with oil‐based application. Calculations using a Gaussian diffusion model and the U.S. Spray Drift Task Force AgDRIFT model produced downwind drift profiles that compared favorably with experimental data. Both models and data indicate that by adopting large droplet placement (LDP) application methods and incorporating crop buffer distances, spray drift can be effectively managed.
- 1 August 1998
- Published by Elsevier in Crop Protection
- Vol. 17 (6) , 475-482
A simple guide to predicting aircraft spray drift
- 1 August 1998
- Published by Elsevier in Crop Protection
- Vol. 17 (6) , 475-482
A simple guide to predicting aircraft spray drift
- 1 November 1993
- Published by Elsevier in Crop Protection
- Vol. 12 (7) , 549-553
Fluid injection metering system for closed pesticide delivery in manually operated sprayers
- 1 November 1993
- Published by Elsevier in Crop Protection
- Vol. 12 (7) , 549-553
Fluid injection metering system for closed pesticide delivery in manually operated sprayers