The College of Education for Pure Sciences at the University of Basra discussed a master’s thesis on an artificial technology for monitoring tomato plantations using the Internet of Things and deep learning.
The message presented by the researcher (Marwa Abdullah Abdel-Rasoul) included
In this thesis, the Internet of Things and deep learning system were applied to establish a smart farming system to monitor the environmental conditions that affect tomato plants, automatic irrigation and detect diseases that affect them using a mobile phone.
Through deep learning networks, the data set taken from plantvillage and collected from google image was trained in order to classify tomato diseases and a test accuracy of 97% was obtained.. Using IoT, an automatic irrigation monitoring system was built that is controlled through the mobile remotely to monitor the conditions The environment surrounding the plant from air temperature and humidity, soil moisture, water quality, carbon dioxide ratio because it is one of the main factors causing plant diseases and damage, through the use of appropriate sensors to measure these factors.
The designed system has proven its efficiency when tested in terms of disease classification, remote irrigation, monitoring of the environmental conditions surrounding the plant and giving alerts when the values ​​of the sensors exceed the minimum or higher values ​​of the conditions surrounding the plant that could cause damage to the plant, whereby the farmer can then: He takes the appropriate action at the right time to prevent any damage to the plant and thus obtain more and high quality product.