Ellips & Elisam Utilize Deep Learning to Take Fruit Grading Technology to the Next Level

Not only has this system improved the defect grading capabilities, also the capacity of the machine increased significantly. The Elisam GranTorino sorting machine could now easily process 1000 kg/h per lane.

Some Deep Learnings from Applying Deep Learning

To build a robust deep learning model, it can be much more than training or fine tuning some existing models (e.g. inception v3, resnet, LSTM, etc.) with your own dataset. These winning models are your best friend and can usually serve as base models.

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Featured Product

Advanced Mid-Power and High-Power LEDs for Horticulture Lighting

Advanced Mid-Power and High-Power LEDs for Horticulture Lighting

Cree LED's J Series® family offers a comprehensive portfolio of mid-power and high-power LEDs engineered specifically for horticulture lighting. The lineup includes high-efficacy 2835, 3030 and 5050 platforms designed to maximize photon output, energy efficiency, and long-term reliability in demanding grow environments. Photophyllâ„¢ Select options in the JB3030C and 2835 platforms deliver industry-leading efficiency with excellent sulfur resistance and footprint compatibility with 301B/H devices - making design-in seamless for horticulture luminaires. The 2835 N-Class color portfolio adds even greater flexibility with 15 high-efficacy spectral options that support precise spectrum tuning. For high-power applications, the JR5050C provides the industry's highest efficacy in its class and can reduce system costs by up to 40%. The JR5050B complements this with best-in-class efficacy in both 6V and 30V configurations. The J Series portfolio also features top-performing white LEDs. The JB3030C delivers up to 3.33 PPF/W (typical), while the JB2835B offers the highest efficacy available in a 2835 white platform. Together, these solutions give horticulture lighting manufacturers exceptional efficiency, broad spectral versatility and unmatched design flexibility.