Motorleaf moves ahead in greenhouse A.I.

In a company news release dated October 11, 2018, Motorleaf said its investment in the company’s machine-learning algorithms and environmental grow sensors will enhance its capacity to predict greenhouse crop yields. Accuracy in forecasting yields is important to avoid costs associated with producing too much or too little perishable goods. 


SunSelect Produce, based in Tehachapi, California, is now automating its harvest forecasting using the artificial intelligence model by Motorleaf.


The release further says the insights derived from the new Motorleaf hardware and software tools enable automation in yield predictions, allowing growers to focus on their business development activities. Motorleaf is also beta-testing software to automate crop pest and disease scouting.



If latest news: 
Check if it is latest news (for "Latest News" page)
Publish date: 
Thursday, October 11, 2018

Click to leave a comment

For security purposes, please confirm you are not a robot!


Automated agriplanter debuts on Ontario vegetable farms

Several Ontario vegetable farms are working together to trial new transplanting technology they hope will save time and labour.

First Fruit Logistica start-up day

Fruit Logistica hosts the first Start-up Day presenting 20 entrepreneurs in ten-minute intervals on February 8, 2019. One new technology is an indoor drone for insect control in greenhouses.

Strawberry fields forever

Day-neutral strawberries help meet market demands, but growers face new pest management obstacles.

Automating agriculture

Vineland Research and Innovation Centre researchers hope that federal funding will help them build a network to accelerate development and commercialization of labour-saving agricultural technologies.

Bringing European berry innovation back to Canada

The North American Strawberry Growers’ Association visited Europe in late 2018. Three major trends were evident:  driving excellence through specialization, driving efficiency through elevation and faster picking, driving savings through industry standardization.