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: | , , |
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| Format: | Article |
| Language: | English |
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The University of Lahore
2020-09-01
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| Series: | Pakistan Journal of Engineering & Technology |
| Subjects: | |
| Online Access: | https://sites2.uol.edu.pk/journals/index.php/pakjet/article/view/417 |
| _version_ | 1819296334191001600 |
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| author | Nimra Pechuho Qaisar Khan Shoaib Kalwar |
| author_facet | Nimra Pechuho Qaisar Khan Shoaib Kalwar |
| author_sort | Nimra Pechuho |
| collection | DOAJ |
| description | 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 the cotton crop is the damage caused by cotton diseases. Our model is giving farmers an easy and efficient method to diagnose cotton diseases and will recommend the usage of pesticides. It is based on machine learning, which learns with every use. Agriculture needs innovative ideas to increase its yield. CottonCare (Cotton Crop Disease Detection using Deep Learning via TensorFlow) is also one of the steps to integrate artificial intelligence into agriculture. The goal of this project is to help the farmers in decreasing the production cost and achieving the higher yield, which is also going to contribute to the country’s economy. |
| first_indexed | 2024-12-24T04:56:27Z |
| format | Article |
| id | doaj.art-91ef1a3695334ae0b2c90540a567dca1 |
| institution | Directory Open Access Journal |
| issn | 2664-2042 2664-2050 |
| language | English |
| last_indexed | 2024-12-24T04:56:27Z |
| publishDate | 2020-09-01 |
| publisher | The University of Lahore |
| record_format | Article |
| series | Pakistan Journal of Engineering & Technology |
| spelling | doaj.art-91ef1a3695334ae0b2c90540a567dca12022-12-21T17:14:23ZengThe University of LahorePakistan Journal of Engineering & Technology2664-20422664-20502020-09-0132126130Cotton Crop Disease Detection using Machine Learning via TensorflowNimra Pechuho0Qaisar Khan 1Shoaib Kalwar2Electronic Engineering Department, Mehran University of Engineering and Technology SZAB Campus Khairpur, PakistanElectronic Engineering Department, Mehran University of Engineering and Technology SZAB Campus Khairpur, PakistanElectronic Engineering Department, Mehran University of Engineering and Technology SZAB Campus Khairpur, PakistanWorld 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 the cotton crop is the damage caused by cotton diseases. Our model is giving farmers an easy and efficient method to diagnose cotton diseases and will recommend the usage of pesticides. It is based on machine learning, which learns with every use. Agriculture needs innovative ideas to increase its yield. CottonCare (Cotton Crop Disease Detection using Deep Learning via TensorFlow) is also one of the steps to integrate artificial intelligence into agriculture. The goal of this project is to help the farmers in decreasing the production cost and achieving the higher yield, which is also going to contribute to the country’s economy.https://sites2.uol.edu.pk/journals/index.php/pakjet/article/view/417deep learningdisease detectionimage classificationmachine learningtransfer learning |
| spellingShingle | Nimra Pechuho Qaisar Khan Shoaib Kalwar Cotton Crop Disease Detection using Machine Learning via Tensorflow Pakistan Journal of Engineering & Technology deep learning disease detection image classification machine learning transfer learning |
| title | Cotton Crop Disease Detection using Machine Learning via Tensorflow |
| title_full | Cotton Crop Disease Detection using Machine Learning via Tensorflow |
| title_fullStr | Cotton Crop Disease Detection using Machine Learning via Tensorflow |
| title_full_unstemmed | Cotton Crop Disease Detection using Machine Learning via Tensorflow |
| title_short | Cotton Crop Disease Detection using Machine Learning via Tensorflow |
| title_sort | cotton crop disease detection using machine learning via tensorflow |
| topic | deep learning disease detection image classification machine learning transfer learning |
| url | https://sites2.uol.edu.pk/journals/index.php/pakjet/article/view/417 |
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