Open AccessLocation Based Crop Recommendation System using Machine Learning Model
Author(s) -
Shankaragowda B.B. Karibasavaraja J
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem12299
Subject(s) - precision agriculture , agriculture , computer science , productivity , agricultural engineering , android (operating system) , field (mathematics) , crop productivity , machine learning , artificial intelligence , environmental economics , industrial engineering , engineering , mathematics , economics , geography , archaeology , pure mathematics , macroeconomics , operating system
Abstract--Precision farming means it’s a administration technique that increases efficiency and financial comes back with a reduced impact on the environment. Precision farming is based on the utilization of data innovation to a portrayal of inconstancy in the field, variable-rate tasks and the basic leadership framework. Precision farming development includes three technology levels and three strategies. It utilizes a constant spectrophotometer and was created to depict soil fluctuation in ranchers' fields. In order to balance productivity with environmental concerns, precision farming provides a new solution using systems approach. Precision farming is based on propelled data innovation. Coordinating rural practices to meet site- particular prerequisites, depicting and displaying variety in soils and plant species are additionally incorporated into precision farming. The primary point of accuracy cultivating is to increment monetary returns and at decreasing the vitality input and the natural effect of farming. Keywords— Machine learning, Android app, Soil grid, REST API.