Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786209497742
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9786209497742
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786209497742
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Cassava stands as a vital staple crop and the most significant source of starch globally, playing a fundamental role in ensuring food security and providing income for millions of people, particularly within developing nations. Ranked as the fifth most cultivated staple food crop in the world, cassava is distinguished by its robust adaptability to diverse soil types and harsh environmental conditions. However, both agricultural productivity and farmer livelihoods face severe threats from the proliferation of diseases, including cassava mosaic disease (CMD), cassava brown streak disease (CBSD), cassava green mottle (CGM), and cassava bacterial blight (CBB).Traditional disease diagnosis remains heavily reliant on manual visual inspections conducted by specialists-a method that is not only time-consuming and subjective but also significantly limited by the scarcity of skilled plant pathologists in many regions. In this context, the development of automated and reliable methods for identifying cassava diseases has become an urgent necessity.This book introduces advanced methodologies utilizing Deep Neural Networks integrated with optimization algorithms. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9786209497742
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch. N° de réf. du vendeur 9786209497742
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Vendeur : AussieBookSeller, Truganina, VIC, Australie
Paperback. Etat : new. Paperback. Cassava stands as a vital staple crop and the most significant source of starch globally, playing a fundamental role in ensuring food security and providing income for millions of people, particularly within developing nations. Ranked as the fifth most cultivated staple food crop in the world, cassava is distinguished by its robust adaptability to diverse soil types and harsh environmental conditions. However, both agricultural productivity and farmer livelihoods face severe threats from the proliferation of diseases, including cassava mosaic disease (CMD), cassava brown streak disease (CBSD), cassava green mottle (CGM), and cassava bacterial blight (CBB).Traditional disease diagnosis remains heavily reliant on manual visual inspections conducted by specialists-a method that is not only time-consuming and subjective but also significantly limited by the scarcity of skilled plant pathologists in many regions. In this context, the development of automated and reliable methods for identifying cassava diseases has become an urgent necessity.This book introduces advanced methodologies utilizing Deep Neural Networks integrated with optimization algorithms. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9786209497742
Quantité disponible : 1 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 408495169
Quantité disponible : 4 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26405707678
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18405707668
Quantité disponible : 4 disponible(s)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Cassava stands as a vital staple crop and the most significant source of starch globally, playing a fundamental role in ensuring food security and providing income for millions of people, particularly within developing nations. Ranked as the fifth most cultivated staple food crop in the world, cassava is distinguished by its robust adaptability to diverse soil types and harsh environmental conditions. However, both agricultural productivity and farmer livelihoods face severe threats from the proliferation of diseases, including cassava mosaic disease (CMD), cassava brown streak disease (CBSD), cassava green mottle (CGM), and cassava bacterial blight (CBB).Traditional disease diagnosis remains heavily reliant on manual visual inspections conducted by specialists-a method that is not only time-consuming and subjective but also significantly limited by the scarcity of skilled plant pathologists in many regions. In this context, the development of automated and reliable methods for identifying cassava diseases has become an urgent necessity.This book introduces advanced methodologies utilizing Deep Neural Networks integrated with optimization algorithms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786209497742
Quantité disponible : 1 disponible(s)