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Data Science in Agriculture and Natural Resource Management
| Data Science in Agriculture and Natural Resource Management |
| Autore | Reddy G. P. Obi |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (326 pages) |
| Altri autori (Persone) |
RavalMehul S
AdinarayanaJ ChaudharySanjay |
| Collana | Studies in Big Data Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-5847-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502670603321 |
Reddy G. P. Obi
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital Ecosystem for Innovation in Agriculture / / edited by Sanjay Chaudhary, Chandrashekhar M. Biradar, Srikrishnan Divakaran, Mehul S. Raval
| Digital Ecosystem for Innovation in Agriculture / / edited by Sanjay Chaudhary, Chandrashekhar M. Biradar, Srikrishnan Divakaran, Mehul S. Raval |
| Autore | Chaudhary Sanjay |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (280 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BiradarChandrashekhar M
DivakaranSrikrishnan RavalMehul S |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Agriculture Big data Computational Intelligence Artificial Intelligence Big Data |
| Soggetto non controllato |
Artificial Intelligence
Agriculture Engineering Computers Technology & Engineering |
| ISBN |
9789819905775
9789819905768 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Brief Review of Tools to Promote Transdisciplinary Collaboration for Addressing Climate Change Challenges in Agriculture by Model Coupling -- Machine Learning and Deep Learning in Agriculture – A review -- Need of orchestration platform to unlock the potential of remote sensing data -- An Algorithmic Framework for fusing images from satellites, Unmanned Aerial Vehicles (UAV), and Farm Internet of Things (IoT) Sensors -- Globally Scalable and Locally Adaptable Satellite Solutions for Agriculture -- A Theoretical Framework of Agricultural Knowledge Management Process in the Indian Agriculture Context -- Simple and innovative methods to estimate gross primary production and transpiration of crops: a review -- Role of Virtual Plants in Digital Agriculture -- Remote sensing for mango and rubber mapping and characterisation for carbon stock estimation– Case study of Malihabad tahsil (UP) and West Tripura District, India -- Impact of Vegetation Indices on Wheat Yield Prediction using Spatio-Temporal Modeling -- Farm-wise estimation of crop water requirement of major crops using deep learning architecture -- Hyperspectral Remote Sensing for Agriculture Land Use and Land Cover Classification -- Computer Vision Approaches for Plant Phenotypic Parameter Determination. |
| Record Nr. | UNINA-9910726288303321 |
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Chaudhary Sanjay
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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