Smart IoT-Based Pesticides Recommendation System for Rice Diseases

被引：7

作者：

Kumar, Sumit ^{[1
]}

Patil, Rutuja Rajendra ^{[1
]}

Rani, Ruchi ^{[2
]}

机构：

[1] Symbiosis Int Deemed Univ, SIT, Pune, Maharashtra, India

[2] Indian Inst Informat Technol, Dept Comp Sci, Kottayam, Kerala, India

来源：

INTELLIGENT SYSTEMS AND APPLICATIONS, ICISA 2022 | 2023年 / 959卷

关键词：

Internet of Things; Pesticides; Crop; Random forest algorithm;

D O I：

10.1007/978-981-19-6581-4_2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

India is the land of farming, and agriculture in the country plays the most crucial role in employment and economic development. Crops provide us with food and other sources that help make our lives sustainable. The proposed system is an automated Internet of things (IoT)-based system developed to measure moisture, temperature and humidity levels, and soil pH levels. With the help of this model, best pesticides are predicted for the diseases of rice crops. In this paper, the Random Forest algorithm is applied and found to give good accuracy compared to other machine learning algorithms.

引用

页码：17 / 25

页数：9

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