(January 11, 2019) -- Ceres Imaging has announced the release of results of a new rice imagery study showing successful prediction of rice nitrogen uptake at panicle initiation (2018 Rice R&D Update from AgriFutures). The study validates the possibility of generating nitrogen topdressing recommendations directly from remotely-sensed data with reduced or no physical sampling.
For this study, Ceres Imaging provided aerial imaging technology in cooperation with researchers from the NSW Government Department of Primary Industries (Brian Dunn, Tina Dunn, Craig Hodges and Chris Dawe), Charles Sturt University (Remy Dehaan) and the University of New England (Andrew Robson) as part of the AgriFutures Australia project PRJ-009772.
The study compared a diverse array of remote sensing technologies including satellite, drone and aerial imagery and found that Ceres Imaging data had the highest correlation with on-the-ground measurements of nitrogen uptake.
“After investigating several drone, satellite and aerial imagery options, Ceres Imaging was found to provide the best results at an economical price,” said Brian Dunn, research agronomist at the NSW Government Department of Primary Industries.
Methodology and Results
In the 2015–18 seasons, remote sensing of rice for nitrogen requirements was tested on large plots over three seasons in Australia. At the outset of the project, a range of sensors was tested, but this number was reduced in the 2017–18 season as the project continued testing with the sensors best suited to rice crops and the rice-growing environment.
Experiments were established at Leeton Field Station and Yanco Agricultural Institute, where rice was topdressed with varying rates of nitrogen just before the application of pre-permanent water. This provided a range of nitrogen uptakes at panicle initiation (PI).
Ceres Imaging collected images (via cameras mounted in a manned aircraft) of both test fields and several commercial rice fields at several wavelengths, including red edge, which were reported as “high quality” and “easy to utilize” by researchers in the study.
The study’s results showed Ceres Imaging data, correlating NDRE with the physical measurements of nitrogen uptake collected in the nitrogen by variety experiments, was very encouraging, producing an r^2 = 0.92.
“We were pleased by the results of this study. Our technology has already undergone rigorous testing, both in academic settings and by farmers and growers all over the world,” said Ash Madgavkar, CEO of Ceres Imaging. “We are working hard to help farmers maximize their yields while being efficient with natural resources and other inputs.”
Three Important Takeaways
*This research was co-funded by the NSW Department of Primary Industries and AgriFutures Australia. View the full report on page 10-12 in the 2018 Rice R&D Update from AgriFutures.
AgriFutures Australia partners with Australian rural industries and the Australian Government through the Department of Agriculture and Water Resources. AgriFutures conducts research and development for established industries that do not have their own Research & Development Corporation (RDC), including the rice, chicken meat, honey bee and pollination, thoroughbred horse, pasture seeds, export fodder, ginger, and tea tree oil industries.
Ceres Imaging is a California-based precision agriculture company that helps growers and farm advisors make intelligent farm management decisions. Backed by university-validated science, Ceres Imaging uses proprietary sensors, analytics, machine learning models and plant science to help growers better understand their farms. Ceres Imaging takes the guesswork out of in-season decision making and supports its customers with expert agronomists and local customer support. For more information, visit CeresImaging.net.