Internet of Things and machine learning in agriculture technological impacts and challenges
Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates...
| Другие авторы: | Jain, Vishal, 1983-, Chatterjee, Jyotir Moy, Kumar, Abhishek, Rathore, Pramod Singh, 1988- |
|---|---|
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Berlin ; Boston
Walter de Gruyter GmbH,
2021.
|
| Серии: | De Gruyter frontiers in computational intelligence ;
v. 8. |
| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
Похожие документы
-
Smart agricultural services using deep learning, big data, and IoT
Публикация: (2021) -
Achieving full realization and mitigating the challenges of the Internet of Things
Публикация: (2022) -
Agriculture and environment perspectives in intelligent systems
Публикация: (2019) -
Artificial Intelligence for IoT Cookbook Over 70 Recipes for Building AI Solutions for Smart Homes, Industrial IoT, and Smart Cities.
по: Roshak, Michael
Публикация: (2021) -
Fuzzy expert systems and applications in agricultural diagnosis
по: Kumar, A. V. Senthil, 1966-
Публикация: (2020)
