f-750 Archives - Page 4 of 8 - Felix Instruments

LEDs Impact on Post-Harvest Fruit Quality

LEDs for the postharvest treatment of fruits are new, and the industrial application looks promising. LEDs influence the development of quality parameters like color, firmness, taste, nutritional value, control of ripening, microbial spoilage and senescence, and extending shelf-life. LEDs can be useful for fruit preservation for long-duration transportation and storage and at retailers. Fruits are… Continue reading…

Future Proof Your Quality: Validating a Model Part 1 – Relevant Statistics and Types of Validation Testing

The fourth installment in our webinar series on spectroscopy in agriculture is here! Join us for a comprehensive 6-part series on internal quality assessment, spectroscopy, chemometrics, and more in commercial agriculture. In Part 4, Director of Applied Science Galen George will delve into relevant statistics and types of validation testing. This informative session is suitable… Continue reading…

How LEDs Impact Fruit Quality Development

LEDs have become popular in horticulture grows due to their narrow spectrum and low thermal effect. As a result, they are being increasingly used for fruit quality development.. LEDs impact on fruit quality proves to be more effective compared to the application of conventional white lights. Red, blue, and green LEDs are the crucial wavelengths… Continue reading…

New Release: AppBuilder v2.2.7.1306 Elevates User Experience with Enriched Features and Bug Fixes

Felix Instruments is thrilled to bring you the latest software update for AppBuilder, v2.2.7.1306, boasting a blend of new features and critical bug fixes to refine your user experience. Here is a quick summary of the changes made: Issues ranging from text translation to data file imports have been resolved, ensuring a smoother user experience.… Continue reading…

Importance of Fresh Produce Quality in Retailing

A custom NIR model allows you to check product maturity and readiness before shipping to retailers, ensuring only the best produce moves forward.

Consumers prefer to pay more for quality fresh produce than buy cheaper but lower-quality commodities. Consumers judge the quality of individual commodities and entire fresh produce displays. Good temperature and relative humidity management are necessary to prolong shelf life and quality, and three combinations are recommended for fruits and vegetables. Retailers would also be well-advised… Continue reading…

Sweetness Predicted: AI Revolutionizes Citrus Fruit Quality Assessment

In her groundbreaking research at NUST, Dr. Ayesha Zeb sought to simplify the assessment of citrus fruit sweetness. The Produce Quality Meter was revolutionary – quickly gathering data from various citrus fruits. Paired with an AI model, the precise data collected led to a breakthrough: an accurate prediction of fruit sweetness. Dr. Zeb’s journey showcases… Continue reading…

What is Fruit Flavor, and How to Measure it

Fruit flavor is the interaction of taste and aroma. Taste is determined by sugars and acids and aroma by distinctive combinations of hundreds of volatile compounds. New non-destructive, precise, and objective flavor estimation possibilities will increase the use of this quality parameter in the supply chain and research. Interest in fruit flavor is resurgent due… Continue reading…

Redagricola 2023 Was a Success!

Hi, Redagricola 2023 Attendees, We wanted to take a moment and thank each of you who dropped by the Felix Instruments booth at the recent tradeshow in Chile. Your keen interest, engaging discussions, and genuine curiosity about our technology truly made our experience at the event. Chatting about how our devices can boost operational efficiency,… Continue reading…

Future-Proof Your Quality: How to Harness the Power of Spectroscopy in Commercial Agriculture – Pt. 3

Welcome to the third installment of our Future Proof Your Quality Webinar Series! In this episode, our esteemed Director of Applied Science, Galen George, guides us through the detailed steps of building a model, including pre-processing, various types of Near-Infrared Spectroscopy (NIRS) models, and wavelength selection. This webinar aims to deliver comprehensive insights on spectroscopy… Continue reading…

How AI Analytics is Transforming Fruit Quality Control and Monitoring

Food production systems’ enormous volumes of data must be precisely analyzed in real-time. AI analytics uses one or more AI tools. It extracts valuable information from big data on food quality, providing answers in an easy-to-understand manner during onsite food analysis. Three AI methods- machine/computer vision, machine learning, and deep learning are used for AI… Continue reading…