Applying Machine Learning for Sustainable Farm Management: Integrating Crop Recommendations and Disease Identification
<b>Context:</b> The problems that contemporary farming methods confront can be greatly mitigated by using machine learning in sustainable agriculture. Combining methods for disease identification with crop recommendations allows farmers to make well-informed decisions that limit the effe...
Saved in:
| Main Authors: | P. Ankit Krishna, Neelamadhab Padhy, Archana Patnaik |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/67/1/73 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An approach for crop recommendation with uncertainty quantification based on machine learning for sustainable agricultural decision-making
by: Md. Sakib Bin Alam, et al.
Published: (2025-06-01) -
A Machine Learning-Enabled System for Crop Recommendation
by: Pedina Sasi Kiran, et al.
Published: (2024-09-01) -
Enhancing Agricultural Productivity: A Machine Learning Approach to Crop Recommendations
by: Farida Siddiqi Prity, et al.
Published: (2024-09-01) -
Integrated Iot Approaches for Crop Recommendation and Yield-Prediction Using Machine-Learning
by: Mohamed Bouni, et al.
Published: (2024-09-01) -
Gorilla troops optimization with deep learning based crop recommendation and yield prediction
by: A. Punitha, et al.
Published: (2024-01-01)