Results 91 to 100 of about 5,054,025 (372)
Interspecific interactions between a new invasive Tephritid fruit fly, Bactrocera dorsalis, and other resident species in an insular context [PDF]
, 2019 The impact of biological invasions of insects considered as pests have important negative impacts on the economy and the environment, particularly in insular ecosystems.
Delatte, Hélène +4 more
core
Occurrence of Alternaria mycotoxins and quantification of viable Alternaria spp. during the food processing of tomato products in Spain [PDF]
, 2018 The occurrence of two Alternaria mycotoxins, alternariol (AOH) and alternariol monomethyl ether (AME) and the presence of conidia from Alternaria spp., were investigated throughout the food production chain of two businesses, one which uses organic fruit
Crespo Sempere, Ana +4 more
core +2 more sources
THE DETECTION OF COAL-TAR DYES IN FRUIT PRODUCTS. [PDF]
Journal of the American Chemical Society, 1900 n ...
openaire +2 more sources
Advanced Functional Materials, EarlyView.The seed pod valves of Australian Banksia attenuata plants are not simply bi‐layers which bend when dry. These experiments and models reveal complex mechanics, which allow seed release only after several steps of seed pod opening. Stiffness gradients prevent delamination of the valves during loading, and a shape‐memory function protects the seeds ...
Friedrich Reppe +7 more
wiley +1 more source
Sensors, 2021 Yield prediction is crucial for the management of harvest and scheduling wine production operations. Traditional yield prediction methods rely on manual sampling and are time-consuming, making it difficult to handle the intrinsic spatial variability of ...
Jorge Torres-Sánchez +7 more
doaj +1 more source
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection [PDF]
arXiv, 2023 Artificial Intelligence (AI) is widely used in image classification, recognition, text understanding, and natural language processing, leading to significant advancements. In this paper, we introduce AI into the field of fruit quality detection. We designed a regression model for fruit sugar level estimation, utilizing an Artificial Neural Network (ANN)
arxiv
Detecting Social Actions of Fruit Flies [PDF]
, 2014 We describe a system that tracks pairs of fruit flies and automatically detects and classifies their actions. We compare experimentally the value of a frame-level feature representation with the more elaborate notion of ‘bout features’ that capture the structure within actions.
Eyrun Eyjolfsdottir +7 more
openaire +2 more sources
Lightweight fruit detection algorithms for low-power computing devices
IET Image ProcessingA lightweight fruit detection algorithm is important to ensure real‐time detection on low‐power computing devices while maintaining detection accuracy. In addition, the fruit detection algorithm is also faced with some environmental factors.
O. M. Lawal +4 more
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.This study demonstrates the use of a low‐cost 3D printing technique to prepare a large‐area PVDF‐FAPbI3 composite dielectric film for flexible TENG application. The δ→α phase transformation of the FAPbI3 nanofillers has significantly improved the β‐phase content, morphology, and dielectric properties of the PVDF film.
Nurfatin Hafizah Zain Karimy +7 more
wiley +1 more source
Fast Recognition and Counting Method of Dragon Fruit Flowers and Fruits Based on Video Stream
Sensors, 2023 Dragon fruit (Hylocereus undatus) is a tropical and subtropical fruit that undergoes multiple ripening cycles throughout the year. Accurate monitoring of the flower and fruit quantities at various stages is crucial for growers to estimate yields, plan ...
Xiuhua Li +5 more
doaj +1 more source