Future of sustainable farming: exploring opportunities and overcoming barriers in drone-IoT integration
Sustainable agriculture is being transformed by drone-IoT integration, improving precision, efficiency, and sustainability. This study examines the pros and downsides of using various technologies to handle connectivity, data management, and power consumption issues. We assess existing integration m...
发表在: | DISCOVER SUSTAINABILITY |
---|---|
Main Authors: | Khan, Sunawar; Mazhar, Tehseen; Shahzad, Tariq; Khan, Muhammad Amir; Guizani, Sghaier; Hamam, Habib |
格式: | Review |
语言: | English |
出版: |
SPRINGERNATURE
2024
|
主题: | |
在线阅读: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001381004500003 |
相似书籍
-
Future of sustainable farming: exploring opportunities and overcoming barriers in drone-IoT integration
由: Khan S.; Mazhar T.; Shahzad T.; Khan M.A.; Guizani S.; Hamam H.
出版: (2024) -
Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions
由: Khan, et al.
出版: (2025) -
Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features
由: Khan, et al.
出版: (2024) -
Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions
由: Mazhar T.; khan S.; Shahzad T.; khan M.A.; Saeed M.M.; Awotunde J.B.; Hamam H.
出版: (2025) -
An Advanced Deep Learning Framework for Skin Cancer Classification
由: Khan, et al.
出版: (2025)