Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges

Author(s): Ashutosh A. Abhangi* and Sailesh Iyer

DOI: 10.2174/9789815049251122010008

Analyzing Plant Leaf for Detecting Disease by using Convolutional Neural Network

Pp: 85-104 (20)

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  • * (Excluding Mailing and Handling)

Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

Agriculture is the basis of the human species. It is the main source of food
and plays an important role in the growth of country's economy. The farmers are still
using traditional methods for agriculture, which result in low yielding of the crops.
Now a days, there is a threat of disease that attacks the plant leaf in the field of
agriculture so the detection of leaf disease by analyzing it using a neural network
minimizes the threat of decreasing the productivity of crops in agriculture. Hence, in
this system, we are introducing artificial intelligence-based plant leaf disease detection
for quick and easy detection of disease and then classifying it by using convolutional
neural networks. In this approach, we have followed several steps like image
acquisition, preprocessing of image, removal of noise and then classify the disease by
using convolution neural network and artificial intelligence technique. Here, the main
approach is to detect the disease in plant leaves for increasing the productivity of crops
in agriculture.

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