AI-based object detection latest trends in remote sensing, multimedia and agriculture applications

SA Nawaz, J Li, UA Bhatti, MU Shoukat… - Frontiers in Plant …, 2022 - frontiersin.org
Object detection is a vital research direction in machine vision and deep learning. The object
detection technique based on deep understanding has achieved tremendous progress in …

An extensive review on agricultural robots with a focus on their perception systems

A Thakur, S Venu, M Gurusamy - Computers and Electronics in Agriculture, 2023 - Elsevier
Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …

[HTML][HTML] A VGG-19 model with transfer learning and image segmentation for classification of tomato leaf disease

TH Nguyen, TN Nguyen, BV Ngo - AgriEngineering, 2022 - mdpi.com
Tomato leaves can have different diseases which can affect harvest performance. Therefore,
accurate classification for the early detection of disease for treatment is very important. This …

A Hybrid Model for Leaf Diseases Classification Based on the Modified Deep Transfer Learning and Ensemble Approach for Agricultural AIoT‐Based Monitoring

M Saberi Anari - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
As possible diseases develop on plant leaves, classification is constantly hampered by
obstacles such as overfitting and low accuracy. To distinguish healthy products from …

Smart strawberry farming using edge computing and IoT

M Cruz, S Mafra, E Teixeira, F Figueiredo - Sensors, 2022 - mdpi.com
Strawberries are sensitive fruits that are afflicted by various pests and diseases. Therefore,
there is an intense use of agrochemicals and pesticides during production. Due to their …

A novel transfer deep learning method for detection and classification of plant leaf disease

P Kaur, S Harnal, V Gautam, MP Singh… - Journal of Ambient …, 2023 - Springer
The major cause of plant mortality and devastation, particularly among trees is plant
diseases. This problem, however, may be handled and treated effectively through early …

Advanced technology in agriculture industry by implementing image annotation technique and deep learning approach: A review

N Mamat, MF Othman, R Abdoulghafor, SB Belhaouari… - Agriculture, 2022 - mdpi.com
The implementation of intelligent technology in agriculture is seriously investigated as a way
to increase agriculture production while reducing the amount of human labor. In agriculture …

Empowering Precision Agriculture: Detecting Apple Leaf Diseases and Severity Levels with Federated Learning CNN

S Mehta, V Kukreja, R Gupta - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The production of apples contributes significantly to the world's food security, but it also
confronts significant obstacles because of illnesses that harm apple leaves. Early diagnosis …

Classification of corn diseases from leaf images using deep transfer learning

M Fraiwan, E Faouri, N Khasawneh - Plants, 2022 - mdpi.com
Corn is a mass-produced agricultural product that plays a major role in the food chain and
many agricultural products in addition to biofuels. Furthermore, households in poor countries …

An approach for plant leaf image segmentation based on YOLOV8 and the improved DEEPLABV3+

T Yang, S Zhou, A Xu, J Ye, J Yin - Plants, 2023 - mdpi.com
Accurate plant leaf image segmentation provides an effective basis for automatic leaf area
estimation, species identification, and plant disease and pest monitoring. In this paper …