Automatic Agriculture Crop Yield Production Maintenance System Based On Remote Monitoring Techniques In Cloud Environment
Main Article Content
Abstract
In agriculture, productivity can be measured in the percentage of a crop grown and the ratios of the seed are the factors for calculating agricultural productivity. With a change in climate situation to increase pollution and increased world population, it becomes a serious concern to secure world food resources. The proposed system is essentially developed for suggesting the acceptable crop which will be cultivated within the region by considering various parameters like temperature, moisture humidity levels. It is especially designed for farmers also as for soil investigation centers where the soil is given as input for fetching the soil properties using different sensors. We are getting to develop an android application in order that interface is going to be easily accessible and user friendly for the persons with non-technical background. The most objective of the paper is to supply crop yielding process which is satisfactory for cultivation based on the climate changes using the sensor and disease prediction providing fertilizer list for the previous using K means clustering algorithm.
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.
