7 Result(s)
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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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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
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 ...
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Chapter
Recent Advancements in Multimedia Big Data Computing for IoT Applications in Precision Agriculture: Opportunities, Issues, and Challenges
This chapter aims to present a survey on the existing techniques and architectures of Multimedia Big Data (MMBD) computing for Internet of Things (IoT) applications in Precision Agriculture, along with the opp...
