Abstract
With the increasing demand on smart agriculture, the effective growth of a plant and increase its productivity are essential. To increase the yield and productivity, monitoring of a plant during its growth till its harvesting is a foremost requirement. In this article, an image processing-based algorithm is developed for the detection and monitoring of diseases in fruits from plantation to harvesting. The concept of artificial neural network is employed to achieve this task. Four diseases of tomato crop have been selected for the study. The proposed system uses two image databases. The first database is used for training of already infected images and second for the implementation of other query images. The weight adjustment for the training database is carried out by concept of back propagation. The experimental results present the classification and mapping of images to their respective categories. The images are categorized as color, texture, and morphology. The morphology gives 93% correct results which is more than the other two features. The designed algorithm is very effective in detecting the spread of disease. The practical implementation of the algorithm has been done using MATLAB.
Highlights
The advancement in Sensor nodes and evolution of 5G technologies has gained recent attention and the objective of this article is focused on considering the use of Internet of Things and smart sensor for the application of agriculture (Lin et al, 2018)
The IoT is termed as the network of objects or smart devices, smart vehicles, smart home, buildings and each item which is embedded with electronics, smart sensors, network connection and software’s as these advancement in technologies enables these smart devices to collect and exchange data among each other
The aim of this article is to design an approach that can detect the disease in crop at early stage and is capable of identifying ten different types of diseases of tomato crop
Summary
The advancement in Sensor nodes and evolution of 5G technologies has gained recent attention and the objective of this article is focused on considering the use of Internet of Things and smart sensor for the application of agriculture (Lin et al, 2018). The evolution of sensor networks and IoT has gained attention in agriculture domain and the deployment of sensor node in real time environment collects the field data at any time and collected data is analysed in real time basis through IoT analytics platform. The Internet of Things is addressed as the global organization towards information society and provides advanced solutions and services through connecting physical and virtual smart devices (things) on the basis of their evolution and existence of communication approaches.
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