The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture
Open accessAbstract
Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. Precision agriculture is a farming approach that uses advanced technology and data analysis to maximize crop yields, cut waste, and increase productivity. It is a potential strategy for tackling some of the major issues confronting contemporary agriculture, such as feeding a growing world population while reducing environmental effects. This review article examines some of the latest recent advances in precision agriculture, including the Internet of Things (IoT) and how to make use of big data. This review article aims to provide an overview of the recent innovations, challenges, and future prospects of precision agriculture and smart farming. It presents an analysis of the current state of precision agriculture, including the most recent innovations in technology, such as drones, sensors, and machine learning. The article also discusses some of the main challenges faced by precision agriculture, including data management, technology adoption, and cost-effectiveness.
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Cites
Field high-throughput phenotyping: the new crop breeding frontier
Araus, J. L., & Cairns, J. E. (2014) · Trends in Plant Science · doi:10.1016/j.tplants.2013.09.008 · Cited by 1,817 · cited 1×
“In addition to improved management capabilities, these tractors offered features such as theft prevention, effective maintenance monitoring, and machine operation tracking [62].”
BackgroundA comparative study of deep learning and internet of things for precision agriculture
Saranya, T., Deisy, C., Sridevi, S., & Anbananthen, K. S. M. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106034 · Cited by 232
Cited by
Getahun, S., Kefale, H., & Gelaye, Y. (2024) · The Scientific World Journal · doi:10.1155/2024/2126734 · Cited by 414
Sustainable farming practices and soil health: a pathway to achieving SDGs and future prospects
Sharma, P., Sharma, P., & Thakur, N. (2024) · Discover Sustainability · doi:10.1007/s43621-024-00447-4 · Cited by 128
Metadata
- Authors
- Karunathilake, E. M. B. M., Le, A. T., Heo, S., Chung, Y. S., & Mansoor, S.
- Venue
- Agriculture
- Publisher
- MDPI AG
- Published
- 2023-08-11
- Volume
- 13
- Issue
- 8
- Pages
- 1593
- ISSN
- 2077-0472 (ISSN-L)
- OpenAlex
- W4385759708
- Cited by
- 779
- References
- 2
- FWCI
- 109.65
- Type
- journal article
- Language
- en
- Open access
- gold
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- Karunathilake, E. M. B. M., Le, A. T., Heo, S., Chung, Y. S., & Mansoor, S. (2023). The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture. Agriculture. https://doi.org/10.3390/agriculture13081593
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
