AI-Driven Solutions for Early Detection of Plant Diseases
Plant diseases have a major negative impact on crop yield and quality, making the agricultural sector concerned. Traditionally, plant disease detection is quite laborious and time consuming. The first introduced system is a deep learning-based plant disease identification system using Convolutional...
Saved in:
| Main Authors: | Saha Laboni, Lalmawipuii R. |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01076.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Innovative AI Solutions for Water-Efficient Smart Irrigation in Agriculture
by: Saha Laboni, et al.
Published: (2025-01-01) -
AI-driven predictive modeling for disease prevention and early detection
by: Bikash Behera, et al.
Published: (2025-04-01) -
Enhancing Tomato Detection in Complex Field Environments using Faster R-CNN Deep Learning Model for Autonomous Picking Robots
by: Pandey Devras, et al.
Published: (2025-01-01) -
Drones and AI-Driven Solutions for Wildlife Monitoring
by: Nourdine Aliane
Published: (2025-06-01) -
Revolutionizing climbing perch disease management: AI-Driven solutions for sustainable aquaculture
by: Kosit Sriputhorn, et al.
Published: (2025-03-01)