Cotton Crop Disease Detection using Machine Learning via Tensorflow
World population is expected to be 10 billion in 2050. With more mouths to feed, agriculture needs to boost up to meet the food requirements. However, developing countries like Pakistan has seen a decline in their production of the crops. One of the main reasons behind declined in the production of...
Main Authors: | Nimra Pechuho, Qaisar Khan, Shoaib Kalwar |
---|---|
Format: | Article |
Language: | English |
Published: |
The University of Lahore
2020-09-01
|
Series: | Pakistan Journal of Engineering & Technology |
Subjects: | |
Online Access: | https://sites2.uol.edu.pk/journals/index.php/pakjet/article/view/417 |
Similar Items
-
Cotton Crop Disease Detection using Machine Learning via Tensorflow
by: Nimra Pechuho, et al.
Published: (2020-09-01) -
Automation of Crop Disease Detection through Conventional Machine Learning and Deep Transfer Learning Approaches
by: Houda Orchi, et al.
Published: (2023-01-01) -
Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning
by: Muhammad Asam, et al.
Published: (2021-11-01) -
The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer
by: Tehseen Mazhar, et al.
Published: (2023-02-01) -
Machine Learning and Deep Learning for Plant Disease Classification and Detection
by: Vasileios Balafas, et al.
Published: (2023-01-01)