Field-grown tomato yield estimation using point cloud segmentation with 3D shaping and RGB pictures from a field robot and digital single lens reflex cameras.

The aim of this study was to estimate field-grown tomato yield (weight) and quantity of tomatoes using a self-developed robot and digital single lens reflex (DSLR) camera pictures. The authors suggest a new approach to predicting tomato yield that is based on images taken in the field, 3D scanning, and shape. Field pictures were used for tomato segmentation to determine the ripeness of the crop.

Manipulation of nitrogen levels and mode of cultivation are viable methods to improve the lipid, fatty acids, phytochemical content, and bioactivities in Chlorella minutissima.

The effect of nitrogen (N: low = 2% N or moderate = 10% N) levels and cultivation (photoautotrophic or mixotrophic) modes on the biochemicals in Chlorella minutissima was evaluated using a mass culture system. Moderate N and mixotrophic cultures had higher biomass, protein, carbohydrate content and photosynthetic pigments than the low N and photoautotrophic treatments. In contrast, lipid and fatty acid content of the low N and photoautotrophic treatments were higher than in the moderate N and mixotrophic cultures.

Moisture gradient vector calculation as a new method for evaluating NMR images of corn (Zea Mays L.) kernels during drying.

Magnetic resonance imaging (MRI) was used to study the moisture migration inside single corn kernel during artificial drying. MRI data were taken every half an hour during drying while the intact kernel was kept inside the magnet. The moisture distribution was not uniform inside the kernel during drying, with the fastest moisture loss being detected in the endosperm, whilst the scutellum maintained the water.