Sustainable crop recommendation system using seasonally adaptive recursive spectral convolutional neural network for responsible agricultural production
Integrating deep learning in agriculture offers new pathways for sustainable crop recommendation and yield prediction, aiding decision-making processes such as optimal planting times and crop selection. Agriculture is a vital sector in Tamil Nadu, where environmental factors, including Humidity, rai...
Saved in:
Main Authors: | Gopinath Selvaraj, Sakthivel Kuppusamy, Menaka Aswathanarayanan |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
|
Series: | Geomatics, Natural Hazards & Risk |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2509619 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Thinking recursively /
by: Roberts, Eric
Published: (1986) -
Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks
by: Chin-Chih Chang, et al.
Published: (2025-03-01) -
Recursive programming techniques
by: Burge, William H.
Published: (1975) -
Cross-Domain Explainable Recommendation Using Graph Convolutional Networks and a Topic Model
by: Kunyoung Kim, et al.
Published: (2025-01-01) -
Verification of Programs with Mutual Recursion in the Pifagor Language
by: Mariya S. Ushakov, et al.
Published: (2018-08-01)