eBook - ePub
Data Driven Mathematical Modeling in Agriculture
Tools and Technologies
- 500 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Data Driven Mathematical Modeling in Agriculture
Tools and Technologies
About this book
The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.
Technical topics discussed in the book include:
- Precision agriculture
- Machine learning
- Wireless sensor networks
- IoT
- Deep learning
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Yes, you can access Data Driven Mathematical Modeling in Agriculture by Sabyasachi Pramanik,Sandip Roy,Rajesh Bose in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Data Modelling & Design. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Half Title page
- Series Page Title
- Title Page
- Copyright Page
- Contents
- Preface
- List of Contributors
- List of Figures
- List of Tables
- List of Abbreviations
- 1 Use of CNNs and Their Frameworks for the Detection of Fungal Herb Disease
- 2 Technologies based on the IoT and Artificial and Natural Intelligence for Sustainable Agriculture
- 3 IoT for Smart Farming Technology: Practices, Methods, and the Future
- 4 Integrating Artificial Intelligence into Pest Management
- 5 Practices of Deep Learning in Farming: What Deep Learning Can Do in Intelligent Agriculture
- 6 Building a Solar-powered Greenhouse having SMS and a Web Information Framework
- 7 Agriculture using Digital Technologies
- 8 Agriculture Digitization: Perspectives on the Networked World
- 9 Cucumbers in PH Disease Monitoring using an IoT-based Mobile App
- 10 New Technologies for Sustainable Agriculture
- 11 Agriculture Automation
- 12 Using the VIKOR Model: How UAVs Help Precision Agriculture in Agri-Food 4.0
- 13 Crop Monitoring in Real Time in Agriculture
- 14 Smart Farming Utilizing a Wireless Sensor Network and the Internet of Things
- 15 Intelligent Agriculture using Autonomous UAVs
- 16 Agriculture using Smart Sensors
- 17 Technologies that Work Together for Precision Agriculture
- 18 Utilizing Smart Farming Methods to Reduce Water Scarcity
- 19 Real-time Irrigation Optimization for Horticulture Crops using WSN, APSim, and Communication Models
- 20 Greenhouse Gas Discharges from Farming Modeled Mathematically for Various End Users
- Index