Developing applications for remote and proximal sensing technologies in agriculture
Exploring emerging remote and proximal sensing technologies for novel applications in crop protection is a nascent area of research at the James Hutton Institute that has the potential to produce many powerful tools for inclusion in Integrated Pest and Disease Management programmes. The rationale that underpins this area of research is that the properties of the light (and other electromagnetic waves) reflected by plant surfaces is dependent on leaf surface attributes, internal structures and biochemical components, which are all influenced in distinctive ways by crop genotype as well as nutritional and disease status. At the James Hutton Institute we have conducted several research projects that explored various remote and proximal sensing technologies for potential applications to IPM.
The continuing rise in the availability of unmanned aerial vehicle (UAV) technology, combined with sensors that can measure crop reflectance in wavelengths beyond the visible light spectrum, presents the possibility to use automated image analysis to inform crop disease management decision support systems. The research project ‘In-field optical detection of potato diseases (Poptical)’ investigated crop image data captured by UAV-mounted sensors for potential to discriminate between diseases of potato plants. The ultimate goal of ‘Poptical’ was to produce morbidity maps for growers that allow them to treat disease outbreaks in a targeted, reactive manner, rather than unnecessarily treating healthy plants. Poptical also collected non-imaging hyperspectral data over the Vis-NIR range that was found to contain sufficient information to discriminate between several late blight lesion stages and between plants with late blight and blackleg - work which was published in Computers and Electronics in Agriculture. This project was funded by Innovate UK (TSB 102105), and partners JHI with James Hutton Limited, Agrii, Hummingbird Tech Ltd and Mannor Fresh.
For further information on Poptical, contact Damian Bienkowski.
The RESAS funded Work Package 2.1.5 ‘In-Field Detection’, underpins IPM by delivering improved methods of detecting, identifying and quantifying key pests and pathogens in a timely manner in ‘the field’, using recent and emerging technologies. Within this research deliverable is the objective of ‘Improved application of sensors and satellite imaging into early warning systems’ in which sensor technologies, which can be deployed in-field, will be evaluated for their ability to detect disease.
A mobile field phenotyping platform integrating thermal, visual, near and short wave infra-red sensors/cameras to measure changes in canopy temperature and leaf spectral properties has been developed. This is being used to investigate signatures of plant stress associated with early disease development under field conditions, which will allow the utility of imaging as a tool for high throughput detection and diagnosis of biotic stress to be evaluated.
For further information on RESAS Work Package 2.1.5, contact Jennie Brierley.