Technological Advancements in Automated Crop Pest and Disease Detection: A Review & Ongoing Research
Author:
Affiliation:
1. MNIT,Dept. of CSE,Jaipur,India
2. JIIT NOIDA,Dept. of CSE,Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9885260/9885243/09885605.pdf?arnumber=9885605
Reference34 articles.
1. IoT Enabled Efficient Detection and Classification of Plant Diseases for Agricultural Applications
2. Prediction of Rice Disease from Leaves using Deep Convolution Neural Network towards a Digital Agricultural System
3. Early Blight Identification in Tomato Leaves using Deep Learning
4. Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers
5. Early Rice Disease Detection and Position Mapping System using Drone and IoT Architecture
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