Articles liés à End-to-End AIoT Based Solution to Improve Crop Yield
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End-to-End AIoT Based Solution to Improve Crop Yield
Edité par
LAP LAMBERT Academic Publishing, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
PAP
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9786630308860
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EUR 72,80
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
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End-to-End AIoT Based Solution to Improve Crop Yield
Edité par
LAP LAMBERT Academic Publishing, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
PAP
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
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 L0-9786630308860
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EUR 70,75
Expédition à EUR 3,93
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Expédition depuis Royaume-Uni vers Etats-Unis
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End-to-End AIoT Based Solution to Improve Crop Yield (Paperback)
Edité par
LAP Lambert Academic Publishing, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
Paperback
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. The fast growth of the agricultural sector requires innovative keys to address problems such as low productivity, resource inefficiency, and the need for timely decisionmaking support for farmers. Motivated by these challenges, this research introducestwo novel systems-AIoTST-CR and VotTomNet-to enhance crop recommendationand disease diagnosis, thereby contributing to sustainable and precision agriculture.The proposed AIoTST-CR system integrates soil testing hardware with AI models torecommend the most appropriate crops based on soil parameters. This approach significantly reduces input costs and fertilizer usage while improving crop yield. Performanceevaluation revealed that Bayes method and Random Forest attained the maximum levelof accuracy, making sure that crop suggestions are trustworthy. A dedicated mobile application, Soil2Crop, was also developed to provide farmers with an intuitive platformfor accessing actionable insights.In parallel, the VotTomNet framework addresses tomato leaf disease diagnosis byensembling six up-to-date pre-trained deep learning models ( InceptionNet, VGG16, DenseNet, MobileNet, ResNet, & EfficientNet). 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 9786630308860
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EUR 82,10
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
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End-to-End AIoT Based Solution to Improve Crop Yield
Edité par
LAP Lambert Academic Publishing, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. N° de réf. du vendeur I-9786630308860
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EUR 82,08
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Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
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End-to-End AIoT Based Solution to Improve Crop Yield
Edité par
LAP LAMBERT Academic Publishing Aug 2026, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 120 pp. Englisch. N° de réf. du vendeur 9786630308860
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EUR 66,90
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Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
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End-to-End AIoT Based Solution to Improve Crop Yield
Edité par
LAP LAMBERT Academic Publishing, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The fast growth of the agricultural sector requires innovative keys to address problems such as low productivity, resource inefficiency, and the need for timely decisionmaking support for farmers. Motivated by these challenges, this research introducestwo novel systems-AIoTST-CR and VotTomNet-to enhance crop recommendationand disease diagnosis, thereby contributing to sustainable and precision agriculture.The proposed AIoTST-CR system integrates soil testing hardware with AI models torecommend the most appropriate crops based on soil parameters. This approach significantly reduces input costs and fertilizer usage while improving crop yield. Performanceevaluation revealed that Bayes method and Random Forest attained the maximum levelof accuracy, making sure that crop suggestions are trustworthy. A dedicated mobile application, Soil2Crop, was also developed to provide farmers with an intuitive platformfor accessing actionable insights.In parallel, the VotTomNet framework addresses tomato leaf disease diagnosis byensembling six up-to-date pre-trained deep learning models ( InceptionNet, VGG16,DenseNet, MobileNet, ResNet, & EfficientNet). N° de réf. du vendeur 9786630308860
Acheter neuf
EUR 74,40
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
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End-to-End AIoT Based Solution to Improve Crop Yield (Paperback)
Edité par
LAP Lambert Academic Publishing, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
Paperback
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. The fast growth of the agricultural sector requires innovative keys to address problems such as low productivity, resource inefficiency, and the need for timely decisionmaking support for farmers. Motivated by these challenges, this research introducestwo novel systems-AIoTST-CR and VotTomNet-to enhance crop recommendationand disease diagnosis, thereby contributing to sustainable and precision agriculture.The proposed AIoTST-CR system integrates soil testing hardware with AI models torecommend the most appropriate crops based on soil parameters. This approach significantly reduces input costs and fertilizer usage while improving crop yield. Performanceevaluation revealed that Bayes method and Random Forest attained the maximum levelof accuracy, making sure that crop suggestions are trustworthy. A dedicated mobile application, Soil2Crop, was also developed to provide farmers with an intuitive platformfor accessing actionable insights.In parallel, the VotTomNet framework addresses tomato leaf disease diagnosis byensembling six up-to-date pre-trained deep learning models ( InceptionNet, VGG16, DenseNet, MobileNet, ResNet, & EfficientNet). 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 9786630308860
Acheter neuf
EUR 86,77
Expédition à EUR 33,13
Expédition depuis Australie vers Etats-Unis
Expédition depuis Australie vers Etats-Unis
Quantité disponible : 1 disponible(s)
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End-to-End AIoT Based Solution to Improve Crop Yield (Paperback)
Edité par
LAP Lambert Academic Publishing, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. The fast growth of the agricultural sector requires innovative keys to address problems such as low productivity, resource inefficiency, and the need for timely decisionmaking support for farmers. Motivated by these challenges, this research introducestwo novel systems-AIoTST-CR and VotTomNet-to enhance crop recommendationand disease diagnosis, thereby contributing to sustainable and precision agriculture.The proposed AIoTST-CR system integrates soil testing hardware with AI models torecommend the most appropriate crops based on soil parameters. This approach significantly reduces input costs and fertilizer usage while improving crop yield. Performanceevaluation revealed that Bayes method and Random Forest attained the maximum levelof accuracy, making sure that crop suggestions are trustworthy. A dedicated mobile application, Soil2Crop, was also developed to provide farmers with an intuitive platformfor accessing actionable insights.In parallel, the VotTomNet framework addresses tomato leaf disease diagnosis byensembling six up-to-date pre-trained deep learning models ( InceptionNet, VGG16, DenseNet, MobileNet, ResNet, & EfficientNet). 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 9786630308860
Acheter neuf
EUR 76,31
Expédition à EUR 44,22
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
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End-to-End AIoT Based Solution to Improve Crop Yield
Edité par
LAP LAMBERT Academic Publishing, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. End-to-End AIoT Based Solution to Improve Crop Yield | Shrikant Chavate (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630308860 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136479765
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EUR 56,70
Expédition à EUR 70
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Expédition depuis Allemagne vers Etats-Unis
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End-to-End AIoT Based Solution to Improve Crop Yield
Edité par
LAP LAMBERT Academic Publishing Aug 2026, 2026
ISBN 10 : 6630308867
ISBN 13 : 9786630308860
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The fast growth of the agricultural sector requires innovative keys to address problems such as low productivity, resource inefficiency, and the need for timely decisionmaking support for farmers. Motivated by these challenges, this research introducestwo novel systems-AIoTST-CR and VotTomNet-to enhance crop recommendationand disease diagnosis, thereby contributing to sustainable and precision agriculture.The proposed AIoTST-CR system integrates soil testing hardware with AI models torecommend the most appropriate crops based on soil parameters. This approach significantly reduces input costs and fertilizer usage while improving crop yield. Performanceevaluation revealed that Bayes method and Random Forest attained the maximum levelof accuracy, making sure that crop suggestions are trustworthy. A dedicated mobile application, Soil2Crop, was also developed to provide farmers with an intuitive platformfor accessing actionable insights.In parallel, the VotTomNet framework addresses tomato leaf disease diagnosis byensembling six up-to-date pre-trained deep learning models ( InceptionNet, VGG16,DenseNet, MobileNet, ResNet, & EfficientNet). 120 pp. Englisch. N° de réf. du vendeur 9786630308860
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EUR 66,90
Expédition à EUR 60
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
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