Latest nir-spectroscopy
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…
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…
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…
Faster Measurements and Regular Updates
“The F-751 has been a game changer for our orchard operations. With faster measurements and regular updates, we can assess the Hass Avocado quality in 10 minutes instead of destructively testing for 24 hours. This saves us time across the 30 orchards we measure and reduces fruit waste. We also utilize a Felix device at… Continue reading…
Mastering Kenyan Avocado Farming: A Comprehensive 6-Question Guide
In the scenic landscapes of Kenya, avocado farming stands as a symbol of prosperity and growth. The unique blend of climate, fertile soils, and abundant rainfall have transformed Kenya into a prime region for avocado cultivation. However, navigating the increasingly competitive global marketplace warrants keen attention to quality and productivity. This comprehensive guide aims to… Continue reading…
Felix Instrument’s Heads to Red Agricola 2023!
The Felix Instruments team is heading to Redagricola! The leading fruit industry event, slated for May 31st – June 1st, is a tremendous opportunity to explore the latest industry trends, methods, and technology. Felix Instruments, a leading manufacturer of portable, precise measurement tools for plant physiology research, is excited to announce its participation in the upcoming conference. The… 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…
