Farming Monthly National July 2016 | Page 13

| Arable Strike a pose - bringing crop analysis into the 21st Century with automated field phenomics Scientists from The Genome Analysis Centre (TGAC) and the John Innes Centre (JIC) have received a grant from Norwich Research Park Translational fund for CropQuant, a computerised infield crop monitoring workstation for precision agriculture. ropQuant uses Raspberry Pi computers to control infield cameras to capture and process crop growth images. In-depth analysis is then conducted on TGAC’shigh performance computers (HPC) to enable scientists across Norwich Research Park to link environmental data with crop growth and development to reduce farming costs. Rising temperatures, drought, nitrogen uptake, plant disease and crop lodging are major threats to global crop production. While experienced breeders or farmers could identify some issues at early stages, human observations are expensive, time-consuming and sometimes subjective. Advanced DNA sequencing technologies have made crop genome assembly a reality; however, these advances are restricted by the low-throughput and inaccurate field phenotyping. In order to enable agricultural practitioners (crop breeders and researchers, and farmers) to improve crop yields through field-based phenotyping methods.(1) Automated phenomics is introduced to measure phenomes, physical and biochemical yield traits of organisms, as they change in response to genetic mutations and environmental influences. As an infield phenomics solution – CropQuant – invented by Dr Ji Zhou (TGACJIC) and Dr Simon Griffiths (JIC), the device continuously monitors crop growth to quantify structural features. This compares the crop’s DNA for early identification of typical genetic traits - such as drought, heat tolerance, disease resistance and nutrition; reducing potential costs. Currently being utilised in a wheat field trial project on the Norwich Research Park CropQuant can automate the capturing of crop growth and quantify drought adaptation and colour changes during the growing season by utilising the workstation’s imagery and statistical results. C “The Agri-Tech industry indicates that the emerging field phenomics market demands cost-effective and reliable phenotyping devices, which can automate crop growth measurements and extract key yield traits data in a realistic field environment,” said Dr Ji Zhou, Phenomics Project Leader at TGAC. “CropQuant will provide an affordable solution to prevent crop losses, contributing to food security, as well as industrial and academic purposes.” CropQuant, together with a tailored highthroughput analysis pipeline, surpasses existing crop phenotyping solutions in cost (2), mobility and maintenance. Environmentally, to aid precision agriculture, CropQuant could help farmers and breeders to control chemical applications to specific regions identified by workstations - protecting the quality of surrounding land and water. To reliably quantify large crop phenotypic features, Dr Ji Zhou is developing new algorithms to conduct data analysis directly in the field using CropQuant. This function will be exceptionally beneficial for breeders or growers to speed-up their crop selection process. The TGAC/JIC team are currently working with industrial partners to test CropQuant and gauge interest from targeted beneficiaries. CropQuant can also be used in large crop improvement programmes conducted by leading biotech companies, agricultural research institutes, crop insurance companies, and governments accountable for preventing crop losses. Dr Zhou, added: “We have not identified a comparable commercialised device in both industry and academia to CropQuant. Some research groups have placed digital cameras in the field to perform continuous crop imaging. However, due to the design limit, those infield devices could only acquire images and do not have computation capabilities. Hence, they are limited in computer controlling and infield crop quantification, which cannot be easily improved for automated phenotyping and precision agriculture. “The CropQuant device has a real potential to function as a service for agricultural practitioners and will benefit precision agriculture practices in the East Anglia region.” content of 45.3% bringing in a bonus of £112/ha, which means that there is not actually much difference between the varieties in terms of gross output.” “The conventional variety Nikita at 108% seed yield has one of the highest oil contents on the recommended list at 45.6% and therefore tops the AHDB official trials for both the east/west and north regions for oil bonus payment, bringing in an extra £129/ha and £118/ha, respectively. This makes a big difference to the overall gross output of the variety and puts it right at the top in terms of profitability. “It has been recognised for many years that oil contents are generally lower as you go further north, which is why Nikita has a slightly lower bonus in the north than in the east/west – but it’s still the top variety on the RL countrywide.” www.farmingmonthly.co.uk July 2016 | Farming Monthly | 13