Image Processing of indoor crops using IOT technology
This paper proposes a system for image processing of crops using IoT (Internet of Things) technology. The system consists of an array of sensors including ESP32-CAM that capture images of crops and send them to a central server. The images stored in this server are then processed using machine learn...
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| Beste egile batzuk: | |
| Formatua: | Final Year Project (FYP) |
| Hizkuntza: | English |
| Argitaratua: |
Nanyang Technological University
2023
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| Gaiak: | |
| Sarrera elektronikoa: | https://hdl.handle.net/10356/166858 |
| _version_ | 1826117671215693824 |
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| author | Aravinthara Kumaran s/o Jeyarajadas P. |
| author2 | Ng Yin Kwee |
| author_facet | Ng Yin Kwee Aravinthara Kumaran s/o Jeyarajadas P. |
| author_sort | Aravinthara Kumaran s/o Jeyarajadas P. |
| collection | NTU |
| description | This paper proposes a system for image processing of crops using IoT (Internet of Things) technology. The system consists of an array of sensors including ESP32-CAM that capture images of crops and send them to a central server. The images stored in this server are then processed using machine learning algorithms in Python to detect diseases such as chlorosis in the crops and estimate the leaf surface area of the crops over a period. The system also includes a mobile application known as Telegram messenger that allows farmers to monitor their crops and rectify technical difficulties in early stage. The proposed system has the potential to revolutionize the agricultural industry by enabling early detection and prevention of crop damage, leading to increased yields and improved crop quality. |
| first_indexed | 2024-10-01T04:31:07Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/166858 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:31:07Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1668582023-05-20T16:51:04Z Image Processing of indoor crops using IOT technology Aravinthara Kumaran s/o Jeyarajadas P. Ng Yin Kwee School of Mechanical and Aerospace Engineering Wong Kei Fong Mark MYKNG@ntu.edu.sg, WO0001RK@e.ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision This paper proposes a system for image processing of crops using IoT (Internet of Things) technology. The system consists of an array of sensors including ESP32-CAM that capture images of crops and send them to a central server. The images stored in this server are then processed using machine learning algorithms in Python to detect diseases such as chlorosis in the crops and estimate the leaf surface area of the crops over a period. The system also includes a mobile application known as Telegram messenger that allows farmers to monitor their crops and rectify technical difficulties in early stage. The proposed system has the potential to revolutionize the agricultural industry by enabling early detection and prevention of crop damage, leading to increased yields and improved crop quality. Bachelor of Engineering (Mechanical Engineering) 2023-05-16T04:37:04Z 2023-05-16T04:37:04Z 2023 Final Year Project (FYP) Aravinthara Kumaran s/o Jeyarajadas P. (2023). Image Processing of indoor crops using IOT technology. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166858 https://hdl.handle.net/10356/166858 en C173 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Aravinthara Kumaran s/o Jeyarajadas P. Image Processing of indoor crops using IOT technology |
| title | Image Processing of indoor crops using IOT technology |
| title_full | Image Processing of indoor crops using IOT technology |
| title_fullStr | Image Processing of indoor crops using IOT technology |
| title_full_unstemmed | Image Processing of indoor crops using IOT technology |
| title_short | Image Processing of indoor crops using IOT technology |
| title_sort | image processing of indoor crops using iot technology |
| topic | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | https://hdl.handle.net/10356/166858 |
| work_keys_str_mv | AT aravintharakumaransojeyarajadasp imageprocessingofindoorcropsusingiottechnology |