| Titre : |
Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things |
| Type de document : |
Ouvrage |
| Auteurs : |
Govind Singh Patel, Auteur |
| Editeur : |
Boca Raton : CRC Press |
| Année de publication : |
2021 |
| Importance : |
211 p |
| ISBN/ISSN/EAN : |
978-0-367-53580-3 |
| Langues : |
Anglais (eng) |
| Catégories : |
[Thesagri] agriculture
[Thesagri] big data
[Thesagri] innovation technologique
[Thesagri] intelligence artificielle
[Thesagri] modernisation
|
| Index. décimale : |
QA-0 Généralités |
| Note de contenu : |
1 - Machine learning and deep learning in agriculture
2 - Descriptive and predictive analytics of agricultural data using machine learning algorithms
3 - Discrimination between weed and crop via image analysis using machine learning algorithm
4 - Bio-inspired optimization algorithms for machine learning in agriculture applications
5 - Agricultural modernization with forecasting stages and machine learning
6 - Classification of segmented image using increased global contrast for Paddy plant disease
7 - IOT in agriculture: Survey on technology, challenges and future scope
8 - Role of IoT in sustainable farming
9 - Smart farming: Crop models and decision support systems using IOT
10 - Smart irrigation in farming using internet of things
11 - Automation systems in agriculture via IOT
12 - A complete automated solution for farm field and garden nurture using internet of things
13 - Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection
14 - Clock signal and its attribute for agriculture |
Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things [Ouvrage] / Govind Singh Patel, Auteur . - Boca Raton : CRC Press, 2021 . - 211 p. ISBN : 978-0-367-53580-3 Langues : Anglais ( eng)
| Catégories : |
[Thesagri] agriculture
[Thesagri] big data
[Thesagri] innovation technologique
[Thesagri] intelligence artificielle
[Thesagri] modernisation
|
| Index. décimale : |
QA-0 Généralités |
| Note de contenu : |
1 - Machine learning and deep learning in agriculture
2 - Descriptive and predictive analytics of agricultural data using machine learning algorithms
3 - Discrimination between weed and crop via image analysis using machine learning algorithm
4 - Bio-inspired optimization algorithms for machine learning in agriculture applications
5 - Agricultural modernization with forecasting stages and machine learning
6 - Classification of segmented image using increased global contrast for Paddy plant disease
7 - IOT in agriculture: Survey on technology, challenges and future scope
8 - Role of IoT in sustainable farming
9 - Smart farming: Crop models and decision support systems using IOT
10 - Smart irrigation in farming using internet of things
11 - Automation systems in agriculture via IOT
12 - A complete automated solution for farm field and garden nurture using internet of things
13 - Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection
14 - Clock signal and its attribute for agriculture |
|  |
Accueil
Smart agriculture: emerging pedagogies of deep learning, machine learning and Internet of Things (2021)
