Identifying common stored product insects using automated deep learning methods

A Systematic Review on Automatic Insect Detection Using Deep Learning

(2023) Ana Cláudia Teixeira et al.   Agriculture-Basel

Tree Trunk Detection of Eastern Red Cedar in Rangeland Environment with Deep Learning Technique

(2023) Chetan Badgujar et al.   Croatian Journal of Forest Engineering

Tree detection and diameter estimation based on deep learning

(2022) Vincent Grondin et al.   FORESTRY

VegNet: Dataset of vegetable quality images for machine learning applications

(2022) Yogesh Suryawanshi et al.   Data in Brief

Advances in automatic identification of flying insects using optical sensors and machine learning

(2021) Carsten Kirkeby et al.   Scientific Reports

Convolutional Neural Networks Using Enhanced Radiographs for Real-Time Detection of Sitophilus zeamais in Maize Grain

(2021) Clíssia Barboza da Silva et al.   Foods

SoyNet: Soybean leaf diseases classification

(2020) Aditya Karlekar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

A deep learning model to recognize food contaminating beetle species based on elytra fragments

(2019) Leihong Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving Stored Product Insect Pest Management: From Theory to Practice

(2019) David W. Hagstrum et al.   Insects

Detection of stored-grain insects using deep learning

(2018) Yufeng Shen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

Transfer learning using computational intelligence: A survey

(2015) Jie Lu et al.   KNOWLEDGE-BASED SYSTEMS

Predicting Stored Grain Insect Population Densities Using an Electronic Probe Trap

(2009) P. W. Flinn et al.   JOURNAL OF ECONOMIC ENTOMOLOGY