Automatic Plant Health Monitoring System in Green House
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Informative Article | Electronics & Communication Engineering | India | Volume 8 Issue 3, March 2019

Automatic Plant Health Monitoring System in Green House

R. Ahila Priyadharshini, K. J. Akshara, V. Sankari

The automatic plant monitoring system has recently attracted tremendous interest due to the potential application in emerging technology. More importantly, this technique is used to enhance the performance of existing techniques or to develop and design new techniques for the growth of plants. The plant monitoring system is helpful for monitoring few parameters like moisture, temperature, humidity, and light intensity of the plants. These parameters are maintained in certain threshold value and when the threshold value exceeds the plant monitoring system works automatically. This system is very much useful for the indoor plant cultivation. Another important parameter that is taken into consideration is the plant leaf disease identification and this is done by capturing the images of the plant by using IP web camera software. Further the image is processed by using image processing techniques. Image processing is used for the detection of plant diseases. Disease detection involves the steps like image acquisition, image pre-processing, image segmentation, feature extraction and classification. SVM classification is used to detect the plant leaves disease. The proposed method is used to monitor and maintain the plant health.

Keywords: indoor plant, IP webcam, DHT11

Edition: Volume 8 Issue 3, March 2019

Pages: 1349 - 1352

Share this Article

How to Cite this Article?

R. Ahila Priyadharshini, K. J. Akshara, V. Sankari, "Automatic Plant Health Monitoring System in Green House", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20196172, Volume 8 Issue 3, March 2019, 1349 - 1352

151 PDF Views | 114 PDF Downloads

Download Article PDF



Top