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Agricultural Informatics
Читать книгу Agricultural Informatics - Группа авторов - Страница 1
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Страница 1
Table of Contents
Guide
List of Illustrations
List of Tables
Pages
Страница 7
Страница 8
Страница 9
Страница 10
Preface
Страница 12
1
A Study on Various Machine Learning Algorithms and Their Role in Agriculture
1.1 Introduction
1.1.1 Machine Learning Model
1.1.1.1 Artificial Neural Networks
1.1.1.2 Information Fuzzy Network
1.1.1.3 Decision Trees
1.1.1.4 Regression Analysis
1.1.1.5 Principal Component Analysis
1.1.1.6 Bayesian Networks
1.1.1.7 Time Series Analysis
1.1.1.8 Markov Chain Model
1.2 Conclusions
References
Страница 25
2
Smart Farming Using Machine Learning and IoT
2.1 Introduction
2.1.1 Smart Farming
2.1.2 Technology Involvement in Smart Agriculture
2.2 Related Work
2.2.1 Monitoring Soil, Climate and Crop
2.2.2 Pesticide Control
2.2.3 Proper Fertilizer Uses
2.2.4 Intrusion Detection
2.2.5 Weed Control
2.2.6 Water Supply Management
2.3 Problem Identification
2.4 Objective Behind the Integrated Agro-IoT System
2.5 Proposed Prototype of the Integrated Agro-IoT System
2.5.1 Pest or Weed Detection Process
2.5.2 Fire Detection Process
2.6 Hardware Component Requirement for the Integrated Agro-IoT System
2.6.1 Sensors
2.6.2 Camera
2.6.3 Water Pump
2.6.4 Relay
2.6.5 Water Reservoir
2.6.6 Solar Panel
2.6.7 GSM Module
2.6.8 Iron Railing
2.6.9 Beaglebone Black
2.7 Comparative Study Between Raspberry Pi vs Beaglebone Black
2.7.1 Raw Comparison
2.7.2 Ease of Setup
2.7.3 Connections
2.7.4 Processor Showdown
2.7.5 Right Choice for Projects
2.8 Conclusions
2.9 Future Work
References
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