Results 111 to 120 of about 5,054,025 (372)
Visual Perception and Modelling in Unstructured Orchard for Apple Harvesting Robots [PDF]
, 2019 Vision perception and modelling are the essential tasks of robotic harvesting in the unstructured orchard. This paper develops a framework of visual perception and modelling for robotic harvesting of fruits in the orchard environments. The developed framework includes visual perception, scenarios mapping, and fruit modelling.
arxiv +1 more source
An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection [PDF]
arXiv, 2023 Tree fruit breeding is a long-term activity involving repeated measurements of various fruit quality traits on a large number of samples. These traits are traditionally measured by manually counting the fruits, weighing to indirectly measure the fruit size, and fruit colour is classified subjectively into different color categories using visual ...
arxiv
The accumulation of the cyanobacterial toxin, microcystin, in cherry tomato (Solanum lycopersicum) and bush bean (Phaseolus vulgaris) plants [PDF]
, 2013 We aimed to develop a high-sensitivity method to detect microcystin toxins in fruit tissue and to determine if irrigation with water containing toxic cyanobacteria may result in accumulation of microcystin toxins in fruit tissue and affect fruit ...
Lefebvre, Bethany R.
core +1 more source
State‐of‐the‐Art, Insights, and Perspectives for MOFs‐Nanocomposites and MOF‐Derived (Nano)Materials
Advanced Materials, EarlyView.Different approaches to MOF‐NP composite formation, such as ship‐in‐a‐bottle, bottle‐around‐the‐ship and in situ one‐step synthesis, are used. Owing to synergistic effects, the advantageous features of the components of the composites are beneficially combined, and their individual drawbacks are mitigated.
Stefanos Mourdikoudis +6 more
wiley +1 more source
Fast determination of biogenic amines in beverages by a core-shell particle column [PDF]
, 2015 A fast and reliable HPLC method for the determination of 11 biogenic amines in beverages has been performed. After pre-column derivatization with dansyl-chloride a Kinetex C18 core–shell particle column (100 mm × 4.6 mm, 2.6 μm particle size) has been ...
Giuliana Vinci +3 more
core +1 more source
Detection of fruits in warehouse using Electronic nose [PDF]
MATEC Web of Conferences, 2018 An electronic nose system for storage environments was built. The system would consist of sensor array, data acquisition module and host computer software. The electronic nose made up with eight metal-oxide-semiconductor gas sensors was used to test four types of stone fruit (Dragon fruit, Snow pear, Kiwi fruit, and Fuji apple). The results showed that
Yang Zeming +3 more
openaire +2 more sources
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Advanced Materials, EarlyView.Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan +9 more
wiley +1 more source
YOLO-CFruit: a robust object detection method for Camellia oleifera fruit in complex environments
Frontiers in Plant ScienceIntroductionIn the field of agriculture, automated harvesting of Camellia oleifera fruit has become an important research area. However, accurately detecting Camellia oleifera fruit in a natural environment is a challenging task.
Yuanyin Luo +6 more
doaj +1 more source
Advanced Materials, EarlyView.Electroadhesion (EA) Suction Cups are electrically operated soft grippers that can pick up a wide range of objects from the top. A soft membrane, driven by electrostatic forces, conforms to surfaces, creating a passive vacuum when lifted. EA suction cups eliminate bulky vacuum systems, offering a compact, efficient, and portable alternative for ...
Fabio Caruso +2 more
wiley +1 more source
Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard
DronesPrecise photogrammetric mapping of preharvest conditions in an apple orchard can help determine the exact position and volume of single apple fruits. This can help estimate upcoming yields and prevent losses through spatially precise cultivation measures.
Marius Hobart +5 more
doaj +1 more source