Yield measurement tech prototype at Fieldays

Kioumars Ghamkhar

AN AgResearch built and designed machine, heralded as game-changing technology that will change the way ryegrass and other forage yield gets measured has featured at Fieldays this week at Mystery Creek.

Positive feedback from seed companies and plant breeders prompted Dr Kioumars Ghamkhar to enter it in the prestigious prototype category in the Innovation Awards at Fieldays.

The Multiple Scanning Imaging Capacity System (MSICS or M6) is the second generation of an earlier yield measurement machine.

Dr Kioumars is director of the Margot Forde Germplasm Centre (MFGC) and the Workstream Leader for Phenomics in the Pastoral Genomics project.

He said M6 replaces work traditionally done by nine field workers who had to cut grass by hand to measure yield accurately or to visually assess it, which is not as accurate.

Built in AgResearch’s engineering workshop in Lincoln in close consultation with other collaborators and contractors, the M6 does not require any actual crop cutting unlike its predecessor, the M5.

“It’s completely non-invasive,’ Dr Kioumars said.

“Instead we use LIDAR — Light Detection and Ranging — sensors that can scan 20 metres of forage in under 40 seconds and produce measurements that are far more consistent and accurate, and best of all, are ready in real-time.

“Ryegrass yield is notoriously difficult to measure using different sensors due to its narrow leaves.”

He said the M6 enables them to measure ryegrass and other forages over the entire growing season.

“Only a few years ago, once you harvested the plant it was gone and there was always plenty of scope for human error.

“This machine eliminates that and exponentially enhances our scientific understanding of forage yield.”

Dr Kioumars said an algorithm was developed for grass plot segmentation, ground surface detection and plant biomass and the measurements have been validated against harvest data (fresh and dry weight yields).

“The information is processed by an on-board laptop and viewed on a screen by the operator and can be seen and, if required, manually adjusted in real time,” said Dr Kioumars.

“We’ve had some wonderful feedback from several seed companies and breeders, IT specialists and managers about its speed, precision and accuracy. One breeder suggested that he will never go back to visual measurements again.”

AN AgResearch built and designed machine, heralded as game-changing technology that will change the way ryegrass and other forage yield gets measured has featured at Fieldays this week at Mystery Creek.

Positive feedback from seed companies and plant breeders prompted Dr Kioumars Ghamkhar to enter it in the prestigious prototype category in the Innovation Awards at Fieldays.

The Multiple Scanning Imaging Capacity System (MSICS or M6) is the second generation of an earlier yield measurement machine.

Dr Kioumars is director of the Margot Forde Germplasm Centre (MFGC) and the Workstream Leader for Phenomics in the Pastoral Genomics project.

He said M6 replaces work traditionally done by nine field workers who had to cut grass by hand to measure yield accurately or to visually assess it, which is not as accurate.

Built in AgResearch’s engineering workshop in Lincoln in close consultation with other collaborators and contractors, the M6 does not require any actual crop cutting unlike its predecessor, the M5.

“It’s completely non-invasive,’ Dr Kioumars said.

“Instead we use LIDAR — Light Detection and Ranging — sensors that can scan 20 metres of forage in under 40 seconds and produce measurements that are far more consistent and accurate, and best of all, are ready in real-time.

“Ryegrass yield is notoriously difficult to measure using different sensors due to its narrow leaves.”

He said the M6 enables them to measure ryegrass and other forages over the entire growing season.

“Only a few years ago, once you harvested the plant it was gone and there was always plenty of scope for human error.

“This machine eliminates that and exponentially enhances our scientific understanding of forage yield.”

Dr Kioumars said an algorithm was developed for grass plot segmentation, ground surface detection and plant biomass and the measurements have been validated against harvest data (fresh and dry weight yields).

“The information is processed by an on-board laptop and viewed on a screen by the operator and can be seen and, if required, manually adjusted in real time,” said Dr Kioumars.

“We’ve had some wonderful feedback from several seed companies and breeders, IT specialists and managers about its speed, precision and accuracy. One breeder suggested that he will never go back to visual measurements again.”

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