Future Farming
eBook - ePub

Future Farming

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Future Farming

About this book

Artificial Intelligence is vital to the evolution of agriculture into a smart industry. The objective of this book is to inform readers about how artificial intelligence is improving agriculture by exploring its applications. The book addresses several aspects of artificial intelligence applications in smart agriculture including, pest control, disease identification, weed detection, and security. Chapters are contributed by experts in agriculture, computer science and biotechnology. Key Themes: Advanced machine learning techniques for pest control and disease identification
Automated recognition and classification of plant diseases, focusing on tomatoes and pearl millet
Integration of artificial intelligence for solar-powered robots to identify weeds and damages in vegetables
Development of field prevention systems to deter wild animals in farming areas
Utilization of machine learning for weather forecasting to facilitate smart agriculture practices
Intelligent crop planning and precision farming through AI applications
Integration of artificial intelligence and drones to enhance efficiency and effectiveness in smart farming operations
Other features of the book include a list of references and simple summaries in each chapter to distil the information for readers. The book is a primary reference material for courses on automation in agriculture. It can also serve as a handbook for anyone interested in advances in farming.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Future Farming by Praveen Kumar Shukla, Tushar Kanti Bera, Praveen Kumar Shukla,Tushar Kanti Bera in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Forestry. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. FOREWORD
  6. PREFACE
  7. List of Contributors
  8. Enhanced Machine Learning Techniques for Pest Control and Leaf Disease Identification
  9. Automatic Recognition and Classification of Tomato Leaf Diseases Using Transfer Learning Model
  10. Detection and Categorization of Diseases in Pearl Millet Leaves using Novel Convolutional Neural Network Model
  11. Artificial Intelligence-based Solar Powered Robot to Identify Weed and Damage in Vegetables
  12. Field Prevention System from Wild Animals
  13. Weather Forecasting using Machine Learning for Smart Farming
  14. Intelligent Crop Planning and Precision Farming
  15. Artificial Intelligence and Drones in Smart Farming