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Identification of pod borers and pod bugs of cowpea using deep learning techniques

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BookPublisher: Vellayani Department of Entomology, College of Agriculture 2025Description: 97p.Subject(s): Cowpea | Entomology | Pod BorersDDC classification: 632.6 Dissertation note: MSc

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Item type	Current location	Collection	Call number	Status	Date due	Barcode
Theses	KAU Central Library, Thrissur Theses	Thesis	632.6 ASN/ID PG (Browse shelf)	Available		176459

Previous	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	No cover image available No cover image available	Next
Previous	632.6 ARD/PE PG Pests of ornamental plants in commercial horticultural nurseries of Kerala	632.6 ARY/BI Ph.D Biosystematics studies on stingless bees (Apidae : Meliponini) of India	632.6 ASH/BI PG Bioefficacy of Tagetes minuta L. against Teranychus truncatus ehara (Prostigmata: Tetranychidae) and Aphis craccivora koch (Hemiptera: Aphididae)	632.6 ASN/ID PG Identification of pod borers and pod bugs of cowpea using deep learning techniques	632.6 ASN/PE PG Pellet formulations of entomopathogenic fungi and their bioefficiacy in managing soil inhabiting pests	632.6 ASW/IN PG Incidence and management of pests of rose Rosa spp.	632.6 ATH/BI Ph.D Bio-efficacy of the entomo pathogenic bacteria, photorhavdus luminescens(Thomas & Poinar) aganist Tetranychus truncatus Ehara (Prostigmata: Tetranychidae)	Next

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