Two cheap, off-the-shelf machine vision systems (MVS), each using an artificial neural network (ANN) as classifier, were developed, improved and evaluated to automate the classification of tomato ripeness and acceptability of eggs, respectively. Six thousand color images of human-graded tomatoes and 750 images of humangraded eggs were used to train, test, and validate several multi-layered ANNs...

Cherries, and in particular sweet cherries, are a nutritionally dense food rich in anthocyanins, quercetin, hydroxycinnamates, potassium, fiber, vitamin C, carotenoids, and melatonin. UV concentration, degree of ripeness, postharvest storage conditions, and processing, each can significantly alter the amounts of nutrients and bioactive components. These constituent nutrients and bioactive food ...

The article presents the results of studies effect different doses mineral fertilizers N90P90K90 and N120P120K120 on productivity corn. We studied formation green mass yield corn in following groups maturity: medium-early hybrid Svityaz FAO 250, medium-ripe Aquazor 320 late-ripe Hetera 420. During growing season, plants were exposed to adverse weather conditions. best conditions observed 2018 (...

Abstract Challenges in strawberry picking made selective harvesting robotic technology very demanding. However, the of strawberries is a complicated task forming few scientific research questions. Most available solutions only deal with specific scenario, for example, single variety fruit isolation. Nonetheless, most economically viable (e.g., high‐yielding and/or disease‐resistant) varieties a...