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.