Modern techniques for agricultural disease management and crop yield prediction
(eBooks)

Book Cover
Average Rating
Contributors
Published
Hershey, PA, USA : IGI Global, 2020.
Physical Description
1 online resource (xix, 291 pages) : illustrations (chiefly color)
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More Details

Format
eBooks
Language
English
ISBN
9781522596349, 1522596348
UPC
10.4018/978-1-5225-9632-5

Notes

General Note
"eISSN: 2326-9170."
Bibliography
Includes compilation of bibliographical references (pages 259-284) and index.
Summary
"This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher.
Local note
Master record variable field(s) change: 050

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Citations

APA Citation, 7th Edition (style guide)

Pradeep, N., Kautish, S., Nirmala, C. R., Goyal, V., & Abdellatif, S. (2020). Modern techniques for agricultural disease management and crop yield prediction . IGI Global.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

N. Pradeep et al.. 2020. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction. IGI Global.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

N. Pradeep et al.. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction IGI Global, 2020.

MLA Citation, 9th Edition (style guide)

Pradeep, N., et al. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction IGI Global, 2020.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.