ANN for Profit Predication in Maize Crop Cultivation through Cloud Database
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 2
Abstract
one of the major dispute encountering in the agriculture sector is to maximize the profit margin by increasing the cropping system yield productivity. Further productivity can be increased by predicating the factors affecting the cropping system. But the factors like temperature, irrigation, rainfall, etc might not be predicted exactly and a necessity arises for an intelligent system to forecast. In this research, Artificial Neural Network has been used to predict and forecast the optimal crop. For experimentation, data have been collected for ninety six months from thirty farmers. The collected data have been stored in cloud storage and is the input to neural network. Trained and tested neural model has been used to pinpoint the fittest yielding period for maize crop cultivation. Furthermore, it is capable of forecasting the optimal combination of variables to yield highest productivity of maize crop. Obtained output from the developed module is in-line with the data collected from agriculturist and thus the refined module had been validated. INDEX TERMS— Forecasting, Maize cropping system, Artificial Neural Network, Back propagation.
Authors and Affiliations
S K Rajesh Kanna, Lingaraj . N, Muthuvel . C, Mohan . D
Keywords
Related Articles
- EP ID EP396366
- DOI -
- Views 73
- Downloads 0
Each node acts as a base station and is responsible for dynamically discovering other nodes it can directly communicate with In MANET
In this paper, we utilize the Wireless networks, nodes can communicate through base stations. In this scenario, the communication process takes more time to complete. To reduce this delay time, a Mobile Ad hoc Network is...
Influence of Fe2O3 on structural, physical and optical properties of Lithium Sodium Bismuth Borate glasses
In this paper, the Ferric oxide doped Lithium Sodium Bismuth Borate glass samples of composition xFe2O3-25Li2O-5Na2O-15Bi2O3-(55-x)B2O3 (where x = 0,2,4,6) have been prepared by melt quenching technique. Powder X-ray dif...
A New Approach to Embed Confidential Data within Color Images
Data transmission is a challenging part in public communication system due to interception and improper manipulation by eavesdropper. To protect against the threat, various ways are available, one of an attractive soluti...
Preservation Methods of Historical Iron Objects: An Overview
This Paper Intends To Expose The Methods Of Preservation Of Historical Iron Objects. Scientific Cleaning Methods For Nails, Cannons, And Bell Are Mentioned. Sodium Hydroxide For Cleaning And Microcrystalline Wax For Prot...
Darcy-Brinkman Convection in a Couple-Stress Fluid Saturated With Porous Layer Using Thermal Non-Equilibrium Model
Stability of a couple-stress fluid-saturated porous layer when the fluid and solid phases are not in local thermalequilibrium is analysed. The Darcy -Brinkman model is used for the momentum equation and a two-field model...