Related references
Note: Only part of the references are listed.Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application
Yanchao Zhang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)
Pollen Grains Classification with a Deep Learning System GPU-Trained
J. M. Ruiz-Varela et al.
IEEE LATIN AMERICA TRANSACTIONS (2022)
Flexible sensing enabled intelligent manipulator system (FSIMS) for avocados (Persea Americana Mill)
Junchang Zhang et al.
JOURNAL OF CLEANER PRODUCTION (2022)
Identifying strawberry appearance quality by vision transformers and support vector machine
Hao Zheng et al.
JOURNAL OF FOOD PROCESS ENGINEERING (2022)
Deep convolutional neural network models for weed detection in polyhouse grown bell peppers
A. Subeesh et al.
ARTIFICIAL INTELLIGENCE IN AGRICULTURE (2022)
In-field and non-invasive determination of internal quality and ripeness stages of Feicheng peach using a portable hyperspectral imager
Yuanyuan Shao et al.
BIOSYSTEMS ENGINEERING (2021)
Towards Precision Agriculture: IoT-Enabled Intelligent Irrigation Systems Using Deep Learning Neural Network
Pankaj Kumar Kashyap et al.
IEEE SENSORS JOURNAL (2021)
Multi-Scale Context Aggregation for Strawberry Fruit Recognition and Disease Phenotyping
Talha Ilyas et al.
IEEE ACCESS (2021)
An investigation into the potential of Gabor wavelet features for scene classification in wild blueberry fields
Gashaw Ayalew et al.
ARTIFICIAL INTELLIGENCE IN AGRICULTURE (2021)
Weed Density and Distribution Estimation for Precision Agriculture Using Semi-Supervised Learning
Shantam Shorewala et al.
IEEE ACCESS (2021)
Crop Yield Prediction Using Deep Reinforcement Learning Model for Sustainable Agrarian Applications
Dhivya Elavarasan et al.
IEEE ACCESS (2020)
Real-Time Visual Localization of the Picking Points for a Ridge-Planting Strawberry Harvesting Robot
Yang Yu et al.
IEEE ACCESS (2020)
Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages
Yang Chen et al.
REMOTE SENSING (2019)
Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN
Yang Yu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Fruit Localization and Environment Perception for Strawberry Harvesting Robots
Yuanyue Ge et al.
IEEE ACCESS (2019)
Classification of Cape Gooseberry Fruit According to Its Level of Ripeness Using Machine Learning Techniques and Different Color Spaces
Wilson Castro et al.
IEEE ACCESS (2019)
A methodology for fresh tomato maturity detection using computer vision
Peng Wan et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Comparison of fruit quality and GC-MS-based metabolite profiling of kiwifruit 'Jecy green': Natural and exogenous ethylene-induced ripening
Sooyeon Lim et al.
FOOD CHEMISTRY (2017)
Artificial Vision Techniques for Strawberry's Industrial Classification
P. Constante et al.
IEEE LATIN AMERICA TRANSACTIONS (2016)
Assessment of banana fruit maturity by image processing technique
D. Surya Prabha et al.
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE (2015)
Monitoring grape ripeness using a voltammetric electronic tongue
Inmaculada Campos et al.
FOOD RESEARCH INTERNATIONAL (2013)
A multipurpose portable instrument for determining ripeness in wine grapes using NIR spectroscopy
Manuel Larrain et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2008)