A smart farming system that makes use of the appropriate infrastructure is an example of a new technology that aids in the improvement of the quality and quantity of the country's agricultural goods, such as potat...
A smart farming system that makes use of the appropriate infrastructure is an example of a new technology that aids in the improvement of the quality and quantity of the country's agricultural goods, such as potatoes. Diseases cannot be prevented since developing potato plants requires consideration of factors such as the environment, soil, and quantity of sunlight. Deep learning has resulted in recent advances in computer vision. These advancements have enabled Potato to utilize a camera to diagnose disease. This study developed an effective new method for detecting infections in potato plants. Yukon Gold, a kind of potato, served as the trial subject. Specifically, Alternaria, Blackleg, and Target Spot were targeted for detection using this method. Using 5,615 images of diseased and healthy Potato plant leaves taken in controlled environments, deep CNN is trained to identify between the presence and absence of three illnesses. To identify the Potato illnesses affecting the tracked plants, the system used a CNN. Anomaly detection using the F-RCNN-trained model achieved a confidence score of 80%, while illness identification using the Transfer Learning model achieved an accuracy of 97.85%. The effectiveness of the automated image-capturing system for diagnosing diseases in Potato plant leaves was determined to be 93.33%.
With the development of technology, demands of control accuracy and operation optimization get more and more higher. High precision model is the footstone for control and optimization. A multi-scale model method based...
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Image denoising without any idea about kind of noise is very cumbersome as compared to known noise. This paper proposed a novel technique for blind image denoising using SVD and local pixel grouping. The technique is ...
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Image denoising without any idea about kind of noise is very cumbersome as compared to known noise. This paper proposed a novel technique for blind image denoising using SVD and local pixel grouping. The technique is checked against salt & pepper noise and Gaussian noise for gray as well as color images and compared with state of art algorithm LPGPCA. It is found that the proposed technique gives better results when compared using objective criteria.
In today's e-world search engines play a vital role in retrieving and organizing relevant data for various purposes. However, in the real ground relevance of results produced by search engines are still debatable ...
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ISBN:
(纸本)9789881925114
In today's e-world search engines play a vital role in retrieving and organizing relevant data for various purposes. However, in the real ground relevance of results produced by search engines are still debatable because it returns enormous amount of irrelevant and redundant results. Web content mining and Information retrieval is an ample and powerful research area in which retrieval of relevant information from the web resources in a faster and better manner. Web content mining improves the searching process and provides relevant information by eliminating the redundant and irrelevant contents. In this research work, a novel approach using weighted technique is introduced to mine the web contents catering to the user needs. Experimental results prove that the performance of the proposed approach in terms of precision, recall and F-measure is high when compared to other search engine results.
Recently, we proposed an innovate crossbar switch named Contention-tolerant Crossbar Switches (CTC(N)). Different with conventional crossbar switches which resolve output contentions by building conflict-free connecti...
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Handwriting Analysis or Graphology is a scientific method of identifying, evaluating and understanding personality through the strokes and patterns revealed by handwriting. Handwriting reveals the true personality inc...
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Evolutionary computation (EC) techniques are e?cient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be use...
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ISBN:
(数字)9783642122422
ISBN:
(纸本)9783642122415
Evolutionary computation (EC) techniques are e?cient, nature-inspired me- ods based on the principles of natural evolution and genetics. Due to their - ciency and simple underlying principles, these methods can be used for a diverse rangeofactivitiesincludingproblemsolving,optimization,machinelearningand pattern recognition. A large and continuously increasing number of researchers and professionals make use of EC techniques in various application domains. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving. All papers in this book were presented during EvoApplications 2010, which included a range of events on application-oriented aspects of EC. Since 1998, EvoApplications — formerly known as EvoWorkshops — has provided a unique opportunity for EC researchers to meet and discuss application aspects of EC and has been an important link between EC research and its application in a variety of domains. During these 12 years, new events have arisen, some have disappeared,whileothershavematuredtobecomeconferencesoftheirown,such as EuroGP in 2000, EvoCOP in 2004, and EvoBIO in 2007. And from this year, EvoApplications has become a conference as well.
This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 e...
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ISBN:
(数字)9783642205200
ISBN:
(纸本)9783642205194
This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMNET, EvoFIN, EvoIHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOC. The 51 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.
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