f-750 Archives - Page 5 of 8 - Felix Instruments

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…

Five Significant Developments in 2022 to Improve Fruit Quality

Non-destructive, accurate, and real-time collection and analysis of fruit quality data continue to grow more critical. Their applications are being expanded to new fruits and to improve scientific research. Another trend is the search for non-toxic postharvest treatments to keep fruits safe for consumption and augment fruit nutritional value to meet consumer demands. Fruit quality… Continue reading…

Answering Common Questions About Near-Infrared Spectroscopy (NIRS)

Near-infrared spectroscopy (NIRS) is an increasingly valuable analytical tool in agriculture. It involves measuring NIR radiation’s absorption and reflection patterns by various compounds in crops, fruits, soil, and processed foods. NIR spectroscopy provides rapid, non-destructive, and accurate measurements of several chemical and physical parameters, making it an essential tool for farmers and researchers. In this… Continue reading…

How Biostimulants Improve Fruit Quality

Biostimulants use is becoming common for agricultural and horticultural crops. The various categories of biostimulants improve fruit quality by enhancing appearance, size, shape, sensory, and nutritional attributes. The effect of biostimulants on fruit quality depends on the composition, dose, and application method. Moreover, plant species, health, and the environment also produce differences in biostimulant action… Continue reading…

Improving Fruit Quality and Grower Decision Making: An Interview with Dr. Ioannis Minas

Assistant Professor Dr. Ioannis Minas from Colorado State University joined us recently to discuss his research and give a behind-the-scenes look at how he uses the F-750 Produce Quality Meter. Our Director of Applied Science, Galen George, and Dr. Minas discussed how traditional fruit quality testing methods are being replaced by modern technology. Dr. Minaz… Continue reading…

Future-Proof Your Quality: How to Harness the Power of Spectroscopy in Commercial Agriculture – Pt. 2

Welcome to the second installment in our webinar series on spectroscopy in agriculture! Building a Model Part 1 – Sample Plan and Analytical Testing. This 6-part series will cover the A-Z of internal quality assessment, spectroscopy, chemometrics, model building, model validation, and optimization in a commercial agriculture setting. In Part 1: Intro to NIR Spectroscopy… Continue reading…