logo
Product categories

EbookNice.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://ebooknice.com/page/post?id=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.

EbookNice Team

(Ebook) Applications of Computer Vision and Drone Technology in Agriculture 4.0 by Siddharth Singh Chouhan, Uday Pratap Singh, Sanjeev Jain ISBN 9789819986835, 9819986834

  • SKU: EBN-56204504
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.3

35 reviews
Instant download (eBook) Applications of Computer Vision and Drone Technology in Agriculture 4.0 after payment.
Authors:Siddharth Singh Chouhan, Uday Pratap Singh, Sanjeev Jain
Pages:344 pages.
Year:2024
Editon:1
Publisher:Springer
Language:english
File Size:14.44 MB
Format:pdf
ISBNS:9789819986835, 9819986834
Categories: Ebooks

Product desciption

(Ebook) Applications of Computer Vision and Drone Technology in Agriculture 4.0 by Siddharth Singh Chouhan, Uday Pratap Singh, Sanjeev Jain ISBN 9789819986835, 9819986834

This edited book focus on two most emerging areas and covers the different aspects of computer vision and drone technology in the field of agriculture. It comprises various applications including segmentation/classification of plant diseases, monitoring of crops, grade/quality estimation of fruits/flowers/vegetables/crops, surveillance, soil deficiency estimation, crop/plant growth estimation, canopy measurement, water stress management, vegetation indices calculation, weed detection, and spraying, among other. It has 17 chapters contributed by experts in the field of computer vision, drone technology, deep learning, machine learning, artificial intelligence, image processing, agriculturist, and plant pathologists. The recent development of high-end computing devices and the adaptation of unmanned aerial vehicles has provided a mechanism to automate traditional agriculture practices. The on-field or aerial images captured using cameras are processed with the help of intelligent algorithms, and an assessment is drawn for further recommendations. This practice is efficient in provisioning an accurate, timely, and economical decision-making system to overcome the problems of agricultural field experts and farmers. This process is advantageous in increasing the quality and quantity of crop yields. This book serves as an excellent guide to students, researchers, scientists, and field experts in directing their work toward this domain and developing/designing models. Further, this book is useful for pathologists, biotechnologists, seed production specialists, breeders, market managers, and other stakeholders associated with underlying technology or market development from the public and private sectors.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products