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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 the F-750 Supports Commercial Operations
How the F-750 Supports Commercial Operations

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…

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…

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…

NIR Technology in Practice

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…

Navigating Agtech: Expert Responses to 10 Common Questions About the Agricultural Technology Industry

There is an explosion of innovative agtech development and production. The amount of information can sometimes be overwhelming but is also fragmented, making it challenging to understand all aspects of agtech. Therefore, we are answering common questions about agtech to provide the big picture to help people make an informed choice. How can agriculture tech… Continue reading…

Utilizing Non-Destructive Sensors to Improve 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.… Continue reading…

NIR Data With Fruit Identity

Exploring the Advantages of NIR Spectroscopy in Agriculture: A Comprehensive Infographic

In the agriculture industry, the ability to accurately analyze the chemical composition of crops and soil is crucial for optimizing growth and yield. One powerful and efficient method for achieving this is Near Infrared Spectroscopy (NIRS). NIR spectroscopy is a non-destructive technique that allows for quick and accurate measurement of various properties in plants and… Continue reading…