logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Data Driven Farming Harnessing the Power of AI and Machine Learning in Agriculture 1st Edition by Syed Nisar Hussain Bukhari 978-1032618920 1032618922

  • SKU: BELL-218382988
Data Driven Farming Harnessing the Power of AI and Machine Learning in Agriculture 1st Edition by Syed Nisar Hussain Bukhari 978-1032618920 1032618922
$ 35.00 $ 45.00 (-22%)

4.1

100 reviews

Data Driven Farming Harnessing the Power of AI and Machine Learning in Agriculture 1st Edition by Syed Nisar Hussain Bukhari 978-1032618920 1032618922 instant download after payment.

Publisher: Auerbach Publications
File Extension: PDF
File size: 3.83 MB
Pages: 282
Author: Edited by Dr. Syed Nisar Hussain Bukhari
ISBN: 9781032618920, 1032618922
Language: English
Year: 2024
Edition: 1
Volume:

Product desciption

Data Driven Farming Harnessing the Power of AI and Machine Learning in Agriculture 1st Edition by Syed Nisar Hussain Bukhari 978-1032618920 1032618922 by Edited By Dr. Syed Nisar Hussain Bukhari 9781032618920, 1032618922 instant download after payment.

Data Driven Farming Harnessing the Power of AI and Machine Learning in Agriculture 1st Edition by Syed Nisar Hussain Bukhari - Ebook PDF Instant Download/Delivery: 1032618922, 978-1032618920

Full downloadData Driven Farming Harnessing the Power of AI and Machine Learning in Agriculture 1st Edition after payment

 

Product details:

ISBN 10: 1032618922

ISBN 13: 978-1032618920

Author: Syed Nisar Hussain Bukhari

In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies.

Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.

Table of contents:

  1. Leveraging IoT for Precision Health Monitoring in Livestock with Artificial Intelligence

  2. Significance of Machine Learning in Apple Disease Detection and Implications

  3. Intelligent Inputs Revolutionizing Agriculture: An Analytical Study

  4. Case Studies on the Initiatives and Success Stories of Edge AI Systems for Agriculture

  5. Crop Recommender: Machine Learning–Based Computational Method to Recommend the Best Crop Using Soil and Environmental Features

  6. A Perusal of Machine-Learning Algorithms in Crop-Yield Predictions

  7. Harvesting Intelligence: AI and ML Revolutionizing Agriculture

  8. Using Deep Learning to Detect Apple Leaf Disease

  9. Agricultural Crop-Yield Prediction: Comparative Analysis Using Machine Learning Models

  10. Fundamentals of AI and Machine Learning with Specific Examples of Application in Agriculture

  11. Farming Futures: Leveraging Machine Language for Potato Leaf Disease Forecasting and Yield Optimization

  12. Classification of Farms for Recommendation of Rice Cultivation Using Naive Bayes and SVM: A Case Study

  13. Neural Networks for Crop Disease Detection

  14. Short-Term Weather Forecasting for Precision Agriculture in Jammu and Kashmir: A Deep-Learning Approach

  15. Deep Reinforcement Learning for Smart Irrigation

People also search:

data driven methods

data driven techniques

data driven farming

a data farm is

a data-driven approach for learning to control computers

Tags: Syed Nisar Hussain Bukhari, Data, Harnessing, Machine

Related Products