Open AccessMachine Learning for Agribusiness Using GIS
Author(s) -
Sahana D. Gowda,
N M Niveditha,
M P Amulya,
A R Namitha
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1779.078219
Subject(s) - precision agriculture , global positioning system , computer science , field (mathematics) , agribusiness , agriculture , component (thermodynamics) , geographic information system , agricultural engineering , remote sensing , geography , engineering , telecommunications , mathematics , physics , archaeology , pure mathematics , thermodynamics
In present days we have discussed about the emerging concept of smart agriculture that makes agriculture more efficient, effective and farmers save money and time with the help of high precision algorithms and Geographic Information System (GIS).The component that drives it is GIS with Machine Learning the logical field that enables machines to learn without being carefully customized. It has developed together with huge information advances and elite registering to make new chances to disentangle, measures, and comprehends information concentrated procedures in farming operational conditions. For instance, ranchers use accuracy GPS on the field spare manure. Ranchers use precision agribusiness since they can lessen the proportion of manure fertilizer. Moreover, satellites and robots assemble vegetation, topography and atmosphere information from the sky. This information can go into developing maps for better fundamental activity.