Smart Agriculture Applications Using Deep Learning Technologies: A Survey
Agriculture is considered an important field with a significant economic impact in several countries. Due to the substantial population growth, meeting people’s dietary needs has become a relevant concern. The transition to smart agriculture has become inevitable to achieve these food security goals...
Main Authors: | Maha Altalak, Mohammad Ammad uddin, Amal Alajmi, Alwaseemah Rizg |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/12/5919 |
Similar Items
-
A Hybrid Approach for the Detection and Classification of Tomato Leaf Diseases
by: Maha Altalak, et al.
Published: (2022-08-01) -
Deep learning techniques for hyperspectral image analysis in agriculture: A review
by: Mohamed Fadhlallah Guerri, et al.
Published: (2024-04-01) -
The Implementation of “Smart” Technologies in the Agricultural Sector: A Review
by: Fotis Assimakopoulos, et al.
Published: (2024-08-01) -
Machine Learning for Precision Agriculture Using Imagery from Unmanned Aerial Vehicles (UAVs): A Survey
by: Imran Zualkernan, et al.
Published: (2023-06-01) -
AI and Related Technologies in the Fields of Smart Agriculture: A Review
by: Fotis Assimakopoulos, et al.
Published: (2025-02-01)