Machine Learning and Internet of Things based Smart Agriculture

被引：0

作者：

Samuel, Prince S. ^{[1
]}

Malarvizhi, K. ^{[2
]}

Karthik, S. ^{[1
]}

Gowri, Mangala S. G. ^{[3
]}

机构：

[1] SNS Coll Technol, Elect & Instrumentat Engn, Coimbatore, Tamil Nadu, India

[2] Kumaraguru Coll Technol, Elect & Elect Engn, Coimbatore, Tamil Nadu, India

[3] MS Engn Coll, Elect & Commun Engn, Bangalore, Karnataka, India

来源：

2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2020年

关键词：

Agriculture; Machine Learning; Artificial Intelligence; Internet of Things;

D O I：

10.1109/icaccs48705.2020.9074472

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The agricultural sector in India is diminishing each day that influences the need for food. Many farmers in India stopped involving in Agriculture field and started other business. This is due to lack of Labor and other Natural Factors, This Paper proposes an essential Survey of different methods for Crop selection, sowing of crop, weed detection, Monitoring of system thereby yielding to a Productive output. This Paper focused on the entire system using Image Processing, Machine Learning, Internet of things and Artificial Intelligence. The comparative research is conducted between the advanced framework and the present framework

引用

页码：1101 / 1106

页数：6

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