[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kiktev et al., 2023 - Google Patents

Apple Fruits Monitoring Diseases on the Tree Crown Using a Convolutional Neural Network.

Kiktev et al., 2023

View PDF
Document ID
11036785334763475220
Author
Kiktev N
Kutyrev A
Mazurchuk P
Publication year
Publication venue
IntSol

External Links

Snippet

The article presents a monitoring system with a mobile application based on a neural network, which allows you to identify apple fruits on the crown of trees, count their number, determine diseases and ripening rates of apple fruits and crop volume per hectare. The …
Continue reading at ceur-ws.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

Similar Documents

Publication Publication Date Title
Ampatzidis et al. Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence
Zhang et al. Orchard management with small unmanned aerial vehicles: A survey of sensing and analysis approaches
KR102300799B1 (en) Crop state judgment apparatus and crop cultivation information service platform including the same
Rahman et al. Exploring the potential of high resolution worldview-3 Imagery for estimating yield of mango
Zhao et al. Rapeseed seedling stand counting and seeding performance evaluation at two early growth stages based on unmanned aerial vehicle imagery
BR112020026356A2 (en) SYSTEMS, DEVICES AND METHODS FOR DIAGNOSIS IN GROWTH STAGE FIELD AND CULTURE YIELD ESTIMATE IN A PLANT AREA
Etienne et al. Machine learning approaches to automate weed detection by UAV based sensors
Röder et al. Application of optical unmanned aerial vehicle-based imagery for the inventory of natural regeneration and standing deadwood in post-disturbed spruce forests
Kierdorf et al. GrowliFlower: An image time‐series dataset for GROWth analysis of cauLIFLOWER
CN113657158B (en) Google EARTH ENGINE-based large-scale soybean planting area extraction algorithm
Ahmed et al. Machine vision-based crop-load estimation using YOLOv8
US20230073541A1 (en) System and method for performing machine vision recognition of dynamic objects
CN109960972B (en) Agricultural and forestry crop identification method based on middle-high resolution time sequence remote sensing data
Zhang et al. Estimation of fractional photosynthetically active radiation from a canopy 3D model; case study: almond yield prediction
Elango et al. Precision Agriculture: A Novel Approach on AI-Driven Farming
Mostafa et al. Using LiDAR technique and modified Community Land Model for calculating water interception of cherry tree canopy
Jiang et al. Automated segmentation of individual leafy potato stems after canopy consolidation using YOLOv8x with spatial and spectral features for UAV-based dense crop identification
Kiktev et al. Apple Fruits Monitoring Diseases on the Tree Crown Using a Convolutional Neural Network.
Pasichnyk et al. Spectral-spatial analysis of data of images of plantings for identification of stresses of technological character
Figueiredo et al. Deep Learning Approach for Terrace Vineyards Detection from Google Earth Satellite Imagery
Jovanovska et al. Integrated iot system for prediction of diseases in the vineyards
Nuraeni et al. Spatial machine learning for monitoring tea leaves and crop yield estimation using sentinel-2 imagery,(A Case of Gunung Mas Plantation, Bogor)
Bonaria Grapevine yield estimation using image analysis for the variety Arinto
Lakshmi et al. A Review on Developing Tech-Agriculture using Deep Learning Methods by Applying UAVs
Gunes et al. Classification of hazelnuts with CNN based deep learning system