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Reproductive biology of female sawcheek scorpionfish,Brachypterois serrulata(Richardson,1846)(Teleostei;Scorpaenidae)from Visakhapatnam Coast,India

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Marine Life Science & Technology 2021年第3期3卷 347-354页

作者： Muddula Krishna Naranji govinda rao velamala Kandula Sujatha Department of Marine Living Resources College of Science and TechnologyAndhra UniversityVisakhapatnam530003Andhra PradeshIndia Department of Zoology and Aquaculture College of Science and TechnologyRajamahendravaram533296Andhra PradeshIndia

We examined the reproductive biology of sawcheek scorpionfish,Brachypterois serrulata,collected from Visakhapatnam fish landing center(fishing area covered 16.98°-20.20°N,82.19°-86.53°E).We studied the annual reproductive cycle,fecundity,size at first maturity,mode of spawning with periodical changes and histological *** distribution and size at sexual maturity were calculated as 108 mm TL for *** mean gonado somatic index values of female increased rapidly from January to December,and reached its peak during January and *** fecundity of the fish species is determined by the size and weight of the *** fecundity varied from 1896 to 20,488,with an average of 5721.90 ova.

关键词： Brachypterois serrulata Central-Eastern Coast of India Fecundity GSI Length at first maturity

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Modeling of Sensor Enabled IrrigationManagement for Intelligent Agriculture Using Hybrid Deep Belief Network

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Computer Systems Science & Engineering 2023年第8期46卷 2319-2335页

作者： Saud Yonbawi Sultan Alahmari B.R.S.S.Raju Chukka Hari govinda rao Mohamad Khairi Ishak Hend Khalid Alkahtani JoséVarela-Aldás Samih M.Mostafa Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia King Abdul Aziz City for Science and Technology RiyadhKingdom of Saudi Arabia Aditya Engineering College Affiliated to JNTUK(Kakinada) SurampalemIndia Department of MBA Vignan’s Institute of Information and Technology(A)DuvvadaVisakhapatnamAP530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11564Saudi Arabia SISAu Research Group Universidad Tecnológica IndoaméricaAmbato180103Ecuador Faculty of Computers and Information South Valley UniversityQena83523Egypt

Artificial intelligence(AI)technologies and sensors have recently received significant interest in intellectual *** the application of AI technologies and agriculture sensors in intellectual agriculture is urgently required for the growth of modern agriculture and will help promote smart *** irrigation scheduling systems were highly required in the agricultural field due to their capability to manage and save water deficit irrigation *** learning systems devise an alternative to conventional irrigation management through the automatic elaboration of predictions related to the learning of an *** this motivation,this study develops a modified black widow optimization with a deep belief network-based smart irrigation system(MBWODBN-SIS)for intelligent *** MBWODBN-SIS algorithm primarily enables the Internet of Things(IoT)based sensors to collect data forwarded to the cloud server for examination ***,the MBWODBN-SIS technique applies the deep belief network(DBN)model for different types of irrigation classification:average,high needed,highly not needed,and not *** MBWO algorithm is used for the hyperparameter tuning process.A wideranging experiment was conducted,and the comparison study stated the enhanced outcomes of the MBWODBN-SIS approach to other DL models with maximum accuracy of 95.73%.

关键词： Agriculture smart farming hyperparameter tuning artificial intelligence irrigation management sensors deep learning

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