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

Analyzing Plant Leaf for Detecting Disease by using Convolutional Neural Network

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

Pp: 85-104 (20)

DOI: 10.2174/9789815049251122010008

* (Excluding Mailing and Handling)


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.

Keywords: Agriculture, Artificial Intelligence, Convolution Neural Network, Disease, Plant leaf.

Related Journals
Related Books
© 2024 Bentham Science Publishers | Privacy Policy