10 Result(s)
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Article
modSwish: a new activation function for neural network
The activation functions are extremely important to neural networks since they are responsible for learning the abstract characteristics of the data through nonlinear modification. The paper presents a new act...
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Article
PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants
Advanced technologies like deep learning have been widely implemented in various agricultural applications, including disease severity estimation. In this study, the authors have leveraged the computational ca...
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Article
A novel framework for image-based plant disease detection using hybrid deep learning approach
The agriculture sector contributes significantly to the economic growth of a country. However, plant diseases are one of the leading causes of crop destruction that decreases the quality and quantity of agricu...
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Chapter and Conference Paper
TLDC: Tomato Leaf Disease Classification Using Deep Learning and Image Segmentation
Deep learning (DL) has made significant progress in identifying and classifying plant diseases. The convolutional neural network (CNN) model was utilized to classify diseased and healthy tomato plant leaves fo...
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Article
Fractional mega trend diffusion function-based feature extraction for plant disease prediction
Plant diseases can severely degrade the quality and productivity of any crop. Hence, an automated forecasting model can be developed to help the farmers and agricultural experts for early detection and on-time...
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Chapter and Conference Paper
A Forecasting Technique for Powdery Mildew Disease Prediction in Tomato Plants
In the current scenario, plant disease detection is seeking attention from many agricultural scientists. Plant diseases are deeply influenced by the weather conditions, and each disease has its individual weat...
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Chapter and Conference Paper
Classification and Activation Map Visualization of Banana Diseases Using Deep Learning Models
Machine learning, especially deep learning (DL), comprises a modern, recent technique to process the images and data, with promising outcomes and enormous potential. DL is acquiring prevalence as it proves its...
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Chapter and Conference Paper
Deep Learning Models for Crop Quality and Diseases Detection
Deep Learning is acquiring momentum in the agricultural field for crop disease detection using image processing due to its computational power. Several deep learning techniques have been implemented in differe...
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Chapter and Conference Paper
Improving Software Maintainability Prediction Using Hyperparameter Tuning of Baseline Machine Learning Algorithms
Software maintainability is a prime trait of software, measured as the ease with which new code lines can be added, obsolete ones can be deleted, and those having errors can be corrected. The significance of s...
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Chapter and Conference Paper
Impact of Hyperparameter Tuning on Deep Learning Based Estimation of Disease Severity in Grape Plant
Accurate and quantitative estimation of disease severity in plants is a complex task, even for experienced agronomists and plant pathologists, where incorrect evaluation might lead to the inappropriate use of ...
