Results 281 to 290 of about 2,077,137 (369)

Report on Fruits and Fruit Products [PDF]

Journal of AOAC INTERNATIONAL, 1926
openaire   +1 more source

Active Whisker‐Inspired Food Material Surface Property Measurement Using Deep‐Learned Mechanosensor

Advanced Intelligent Systems, EarlyView.
Herein, a new application is proposed for an active whisker sensor that mimics the movement of rat whiskers. The whiskers, which are deformed by contact with an object, provide information about surface properties. It is shown that active whisker sensors can be useful in the food industry, and data identification is performed using deep learning ...
Jieun Park, Minho Kim, Jinhyung Park, Myungrae Hong, Sunghoon Im, Damin Choi, Eunyoung Kim, Dohyeon Gong, Seokhaeng Huh, Seung‐Un Jo, ChangHwan Kim, Je‐Sung Koh, Seungyong Han, Daeshik Kang   +13 more
wiley   +1 more source

Expression of the <i>CpXTH6</i> and <i>CpXTH23</i> Genes in <i>Carica papaya</i> Fruits. [PDF]

Int J Mol Sci
Zúñiga-Hernández ME, Rosas-Quijano R, Salvador-Figueroa M, Vázquez-Ovando A, Gálvez-López D.   +4 more
europepmc   +1 more source

Machine Learning‐Based Wind Classification by Wing Deformation in Biomimetic Flapping Robots: Biomimetic Flexible Structures Improve Wind Sensing

Advanced Intelligent Systems, EarlyView.
Strain gauges are attached to biomimetic flapping wings to investigate how wing strain sensors detect wind directions. A convolutional neural network model for wind direction classification is developed through experiments. The results reveal that wind classification is possible with strain data of only 0.2 flapping cycles, and the use of biomimetic ...
Kenta Kubota, Hiroto Tanaka
wiley   +1 more source

Fruiting Habits of Certain Ornamental Plants

, 1950
Donald Wyman
openalex   +2 more sources

Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion. [PDF]

Sensors (Basel)
Cui W, Lan Y, Li J, Yang L, Zhou Q, Han G, Xiao X, Zhao J, Qiao Y.   +8 more
europepmc   +1 more source

Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture

Advanced Intelligent Systems, EarlyView.
This study introduces a robotic phenotyping system for precision agriculture, integrating environmental understanding, motion planning, and in situ plant phenotyping. The system autonomously navigates through real‐world agricultural environments, collects high‐quality plant data, and reconstructs accurate 3D plant models. Results demonstrate the system'
Kewei Hu, Yaoqiang Pan, Tianhao Liu, Hugh Zhou, Chao Chen, Hanwen Kang   +5 more
wiley   +1 more source

Contribution to the study of the brazilian Trypaneidae or fruit-flies [PDF]

, 1918
Anne M. Lutz, A. da Costa Lima
openalex  

Power Ultrasound- and Organic Acid-Based Hurdle Technology to Reduce <i>Listeria monocytogenes</i> and <i>Salmonella enterica</i> on Whole Apples and Peaches. [PDF]

Foods
Khouja BA, Mathias H, Joshi M, Fay ML, Korade S, Wong CWY, Stewart DS, Zhou X, Zhang W, Salazar JK.   +9 more
europepmc   +1 more source

From Single Sensors to Sensor Arrays: Leveraging Supervised Machine Learning to Read Multiple Soft Capacitive Sensors with a Single Pair of Wires

Advanced Intelligent Systems, EarlyView.
The study presents a method for detecting touch location and force magnitude on soft capacitive sensors without complex electrode patterning. Multifrequency impedance measurements are combined with machine learning to accurately classify five sensing zones and estimate applied force with low error.
Samuel Belk, Samuel Rosset, Iain Anderson, Masoumeh Hesam   +3 more
wiley   +1 more source