AI-based object detection latest trends in remote sensing, multimedia and agriculture applications
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 …
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 …
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
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 …
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 …
obstacles such as overfitting and low accuracy. To distinguish healthy products from …
Smart strawberry farming using edge computing and IoT
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 …
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
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 …
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
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 …
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
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 …
confronts significant obstacles because of illnesses that harm apple leaves. Early diagnosis …
Classification of corn diseases from leaf images using deep transfer learning
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 …
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 …
estimation, species identification, and plant disease and pest monitoring. In this paper …