Developments in image processing using deep learning and reinforcement learning

J Valente, J António, C Mora, S Jardim - Journal of Imaging, 2023 - mdpi.com
The growth in the volume of data generated, consumed, and stored, which is estimated to
exceed 180 zettabytes in 2025, represents a major challenge both for organizations and for …

Advances in intelligent detection, monitoring, and control for preserving the quality of fresh fruits and vegetables in the supply chain

X Zhong, M Zhang, T Tang, B Adhikari, Y Ma - Food Bioscience, 2023 - Elsevier
The raw materials and information sharing of global fresh produce supply chains is
happening every day, with the same time, losses of spoiled fruits and vegetables also exist …

Convolutional Neural Network (CNN) Model for the Classification of Varieties of Date Palm Fruits (Phoenix dactylifera L.)

P Rybacki, J Niemann, S Derouiche, S Chetehouna… - Sensors, 2024 - mdpi.com
The popularity and demand for high-quality date palm fruits (Phoenix dactylifera L.) have
been growing, and their quality largely depends on the type of handling, storage, and …

Deep Multibranch Fusion Residual Network and IoT-based pest detection system using sound analytics in large agricultural field

RK Dhanaraj, MA Ali, AK Sharma, A Nayyar - Multimedia Tools and …, 2024 - Springer
In the modern era, agriculture is necessary for human existence globally, and it is imperative
to work toward increasing agricultural yields. Yet, crop production may be affected due to the …

Application of deep learning in image recognition of citrus pests

X Jia, X Jiang, Z Li, J Mu, Y Wang, Y Niu - Agriculture, 2023 - mdpi.com
The occurrence of pests at high frequencies has been identified as a major cause of
reduced citrus yields, and early detection and prevention are of great significance to pest …

Plant disease detection using resnet

U Archana, A Khan, A Sudarshanam… - 2023 International …, 2023 - ieeexplore.ieee.org
Deep learning and computer vision have recently emerged as useful methods for the
phenotyping of sick plant tissue. The majority of prior research focused on illness …

Heterogeneous features and deep learning networks fusion-based pest detection, prevention and controlling system using IoT and pest sound analytics in a vast …

MA Ali, AK Sharma, RK Dhanaraj - Computers and Electrical Engineering, 2024 - Elsevier
Every country's foundation is its agricultural industry, which drives about half of global
economic growth. Accurate farming is crucial for crop evaluation and pest control. Old …

New trends in the development and application of artificial intelligence in food processing

R Barthwal, D Kathuria, S Joshi, RSS Kaler… - Innovative Food Science …, 2024 - Elsevier
Food plays a significant role in human existence. It is necessary to reduce food wastage,
and enhance both food management and safety protocols. The growing prevalence and …

A Performance Comparison of CNN Models for Bean Phenology Classification Using Transfer Learning Techniques

T Ibarra-Pérez, R Jaramillo-Martínez… - AgriEngineering, 2024 - mdpi.com
The early and precise identification of the different phenological stages of the bean
(Phaseolus vulgaris L.) allows for the determination of critical and timely moments for the …

Denoising Diffusion Probabilistic Models and Transfer Learning for citrus disease diagnosis

Y Li, J Guo, H Qiu, F Chen, J Zhang - Frontiers in plant science, 2023 - frontiersin.org
Problems Plant Disease diagnosis based on deep learning mechanisms has been
extensively studied and applied. However, the complex and dynamic agricultural growth …