Prediction of the fruit development stage of sweet pepper (Capsicum annum var. annuum) by an ensemble model of convolutional and multilayer perceptron

Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking

(2021) Rui Suo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation

(2021) Moi Hoon Yap et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning image segmentation and extraction of blueberry fruit traits associated with harvestability and yield

(2020) Xueping Ni et al.   Horticulture Research

Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN

(2020) Fangfang Gao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detecting Citrus in Orchard Environment by Using Improved YOLOv4

(2020) Wenkang Chen et al.   Scientific Programming

Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm

(2020) Shuwei Li et al.   CONSTRUCTION AND BUILDING MATERIALS

Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’

(2019) A. Koirala et al.   PRECISION AGRICULTURE

Apple detection during different growth stages in orchards using the improved YOLO-V3 model

(2019) Yunong Tian et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning – Method overview and review of use for fruit detection and yield estimation

(2019) Anand Koirala et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages

(2019) Yang Chen et al.   Remote Sensing

Anthocyanin Production and Enzymatic Degradation during the Development of Dark Purple and Lilac Paprika Fruit

(2019) Yuji Yamada et al.   JOURNAL OF THE AMERICAN SOCIETY FOR HORTICULTURAL SCIENCE

Interpolation of greenhouse environment data using multilayer perceptron

(2019) Taewon Moon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Light, Ethylene and Auxin Signaling Interaction Regulates Carotenoid Biosynthesis During Tomato Fruit Ripening

(2018) Aline Bertinatto Cruz et al.   Frontiers in Plant Science

Automatic Fruit Classification Using Deep Learning for Industrial Applications

(2018) M. Shamim Hossain et al.   IEEE Transactions on Industrial Informatics

Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

(2016) Ye Ren et al.   IEEE Computational Intelligence Magazine

From fruitlet to harvest: Modelling and predicting size and its distributions for tomato, apple and pepper fruit

(2016) L.M.M. Tijskens et al.   SCIENTIA HORTICULTURAE

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

Deep learning

(2015) Yann LeCun et al.   NATURE

Light-controlled flavonoid biosynthesis in fruits

(2014) Laura Zoratti et al.   Frontiers in Plant Science

Nonlinear methods for estimation of maturity stage, total chlorophyll, and carotenoid content in intact bell peppers

(2013) Timea Ignat et al.   BIOSYSTEMS ENGINEERING

Computer Vision System Applied to Classification of “Manila” Mangoes During Ripening Process

(2013) Nayeli Vélez-Rivera et al.   Food and Bioprocess Technology

Mathematical Modeling in the Estimation of Pepper (Capsicum annuum L.) Fruit Volume

(2013) M Kadri Bozokalfa et al.   Chilean Journal of Agricultural Research

Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review

(2010) Sudhanshu Sekhar Panda et al.   Remote Sensing

Sensitive stages of fruit and seed development of chili pepper (Capsicum annuum L. var. Shishito) exposed to high-temperature stress

(2008) P. Pagamas et al.   SCIENTIA HORTICULTURAE