Plant root is an organ composed of multiple cell types with different functions. This multicellular complexity limits our understanding of root biology because -omics studies performed at the level of the entire root reflect the average responses of all cells composing the organ. To overcome this difficulty and allow a more comprehensive understanding of root cell biology, an approach is needed...

We train and compare the performance of two machine learning methods, a multi-variate regression network ResNet-50-based neural network, to learn forecast plant biomass as well relative growth rate based onfrom short sequence temporal images from plants in aeroponic cultivation. The training dataset consists 57 taken different angles every hour during 5-day period. results show that top-down pe...

Strawberry is a perennial fruit crop of high importance in the market. It highly recommended both as table and processed due its nutrient content. The growth period strawberry short hence doesn’t require much time for development. Aeroponic on other hand seems to provide better cultivation annual species controlled conditions meticulous way. A field experiment was conducted at Horticulture Rese...

Hemp adaptability through physiological and biochemical changes was studied under 10 LED light spectra natural in a controlled aeroponic system. Light treatments were imposed on 25 days aged seedlings for 16 h daily (300 µmol m?2 s?1) 20 days. Plant accumulated highest Cannabidiol (CBD) R7:B2:G1 treatment, with relatively higher photosynthetic rate lower reactive oxygen species, total phenol co...

Accurate detection of cutting diseases in the process aeroponic rapid propagation is very important for improving rooting rate and survival cuttings. This paper proposes to use image processing, with a dataset growth mulberry cuttings backward (BP) neural network, identify mildew on roots branches propagation, before extracting texture color features. An intelligent control aeroponics system wa...