Results 151 to 160 of about 2,077,137 (369)
FruitPAL: An IoT-Enabled Framework for Automatic Monitoring of Fruit Consumption in Smart Healthcare [PDF]
arXivFruits are rich sources of essential vitamins and nutrients that are vital for human health. This study introduces two fully automated devices, FruitPAL and its updated version, FruitPAL 2.0, which aim to promote safe fruit consumption while reducing health risks.
arxiv
Concerning the Relationship of Phyllosticta solitaria to the Fruit Blotch of Apples [PDF]
, 1907 John L. Sheldon
openalex +1 more source
A Touch Enabled Hemodynamic and Metabolic Monitor
Advanced Science, EarlyView.This work presents a touch‐based hybrid platform for simultaneous monitoring of vital signs and sweat metabolites. With a simple tri‐finger touch of 4–6 min, users can concurrently get to know their glucose, uric acid, cortisol levels from fingertip sweat, along with blood pressure and heart rate.
Omeed Djassemi +19 more
wiley +1 more source
Fast Heuristic Scheduling and Trajectory Planning for Robotic Fruit Harvesters with Multiple Cartesian Arms [PDF]
arXivThis work proposes a fast heuristic algorithm for the coupled scheduling and trajectory planning of multiple Cartesian robotic arms harvesting fruits. Our method partitions the workspace, assigns fruit-picking sequences to arms, determines tight and feasible fruit-picking schedules and vehicle travel speed, and generates smooth, collision-free arm ...
arxiv
Deep Mangoes: from fruit detection to cultivar identification in colour images of mango trees [PDF]
DISP'19 International Conference on Digital Image and Signal
Processing, Apr 2019, Oxford, United Kingdom, 2019 This paper presents results on the detection and identification mango fruits from colour images of trees. We evaluate the behaviour and the performances of the Faster R-CNN network to determine whether it is robust enough to "detect and classify" fruits under particularly heterogeneous conditions in terms of plant cultivars, plantation scheme, and ...
arxiv
A New Fruit from Uruguay. (Pouteria suavis, Hemsl.) [PDF]
, 1906 W. BOTTING HEMSLEY
openalex +1 more source
Advanced Science, EarlyView.This study develops a strategy to screen the active compounds from bio‐mixtures via combining transcriptomic profiling and molecular docking. The proposed method demonstrates 100% correction in three different biobased mixtures and is 3–20 times faster than traditional approaches.
Yongdong Xu +8 more
wiley +1 more source
FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields [PDF]
arXivWe introduce FruitNeRF++, a novel fruit-counting approach that combines contrastive learning with neural radiance fields to count fruits from unstructured input photographs of orchards. Our work is based on FruitNeRF, which employs a neural semantic field combined with a fruit-specific clustering approach.
arxiv
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion [PDF]
arXiv, 2018 We present a novel fruit counting pipeline that combines deep segmentation, frame to frame tracking, and 3D localization to accurately count visible fruits across a sequence of images. Our pipeline works on image streams from a monocular camera, both in natural light, as well as with controlled illumination at night.
arxiv