Results 51 to 60 of about 5,054,025 (372)

Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry [PDF]

open access: yes, 2020
The present dataset contains colour images acquired in a commercial Fuji apple orchard (Malus domestica Borkh. cv. Fuji) to reconstruct the 3D model of 11 trees by using structure-from-motion (SfM) photogrammetry.
Gené Mola, Jordi   +6 more
core   +2 more sources

Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse

open access: yesSensors, 2021
The development of robotic solutions for agriculture requires advanced perception capabilities that can work reliably in any crop stage. For example, to automatise the tomato harvesting process in greenhouses, the visual perception system needs to detect
Sandro Augusto Magalhães   +6 more
doaj   +1 more source

Zanthoxylum bungeanum Fruit Detection by Adaptive Thresholds in HSV Space for an Automatic Picking System

open access: yesIEEE Sensors Journal, 2023
Zanthoxylum bungeanum is widely cultivated, and some automatic picking systems or robots are researched to pick the pepper fruit instead of human hands. The detection algorithm is very important to an automatic picking system. Hue, saturation, and value (
Longke He   +5 more
semanticscholar   +1 more source

Changes in the microsomal proteome of tomato fruit during ripening [PDF]

open access: yes, 2019
The variations in the membrane proteome of tomato fruit pericarp during ripening have been investigated by mass spectrometry-based label-free proteomics.
De Lorenzo, Giulia   +6 more
core   +1 more source

Systematic literature review: application of deep learning processing technique for fig fruit detection and counting

open access: yesBulletin of Electrical Engineering and Informatics, 2023
Deep learning has shown much promise in target identification in recent years, and it's becoming more popular in agriculture, where fig fruit detection and counting have become important. In this study, a systematic literature review (SLR) is utilised to
Ahmad Shukri Firdhaus Kamaruzaman   +6 more
semanticscholar   +1 more source

A Review of Convolutional Neural Network Applied to Fruit Image Processing

open access: yesApplied Sciences, 2020
Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households.
José Naranjo-Torres   +5 more
doaj   +1 more source

Green Sweet Pepper Fruit and Peduncle Detection Using Mask R-CNN in Greenhouses

open access: yesApplied Sciences, 2023
In this paper, a mask region-based convolutional neural network (Mask R-CNN) is used to improve the performance of machine vision in the challenging task of detecting peduncles and fruits of green sweet peppers (Capsicum annuum L.) in greenhouses. One of
Jesús Dassaef López-Barrios   +3 more
doaj   +1 more source

The Design and Evaluation of an Orange-Fruit Detection Model in a Dynamic Environment Using a Convolutional Neural Network

open access: yesSustainability, 2023
Agricultural robots play a crucial role in ensuring the sustainability of agriculture. Fruit detection is an essential part of orange-harvesting robot design.
Sadaf Zeeshan, Tauseef Aized, F. Riaz
semanticscholar   +1 more source

FRUIT LEAVES DISEASE DETECTION: A REVIEW

open access: yesInternational Journal of Agriculture and Environmental Research, 2022
Fruit farming plays a very important role in economy of India and it also fetches profit to farmers. Their livelihood depends on this occupation. If the diseases in the plants are left untreated, it gives rise to variety of problems such as soil pollution, air pollution, health problems to humans and animals as they consume the products of plants.
Fouqiya Badar, Naaz, Ayesha
openaire   +1 more source

Fruit volatile analysis using an electronic nose. [PDF]

open access: yes, 2012
Numerous and diverse physiological changes occur during fruit ripening, including the development of a specific volatile blend that characterizes fruit aroma.
Ebeler, Susan E   +3 more
core   +1 more source

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