Protecting the Farming Land from Insects Damage to Growing Crops using Deep Convolutional Neural Network
Main Article Content
Abstract
Rice cultivation is one of the most important economic sectors for Indian economy. With the increase in world population, the demand for the rice cultivation is also increasing. In order to increase the growth of rice crop, it is necessary to detect the pests in an earlier stage to minimize the pest growth. But our farmers are still struggling to protect the crops from external threats particularly from insects in agricultural lands. To overcome this problem, we are providing a solution to protect the crops in the farming lands using deep networks. Hence, the lives of farmers are saved from their struggle. In this paper, we proposed a system that will help the farmers in detecting rice crop pest using deep convolutional neural network with VGG16 architecture. Then, the proposed model is compared with the existing models GoogleNet and AlexNet.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.