Modern techniques for agricultural disease management and crop yield prediction

N. Pradeep (Bapuji Institute of Engineering and Technology, India), Sandeep Kautish (Lord Buddha Education Foundation, Nepal & Asia Pacific University, Malaysia), C.R. Nirmala (Bapuji Institute of Engineering and Technology, India), Vishal Goyal (Punjabi University, Patiala, India), Sonia Abdellatif (Seoul National University, South Korea) [editors]

"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."

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Year of publication:	[2020]
Other Persons:	Pradeep, N. (ed.) ; Kautish, Sandeep (ed.) ; Nirmala, C. R. (ed.) ; Goyal, Vishal (ed.) ; Abdellatif, Sonia (ed.)
Publisher:	Hershey, Pennsylvania : IGI Global
Subject:	Ernteertrag \| Crop yield \| Landwirtschaft \| Agriculture \| Prognoseverfahren \| Forecasting model \| Agrartechnik \| Agricultural technology \| Agrarproduktion \| Agricultural production \| Präzisionslandwirtschaft \| Agrarinformatik \| Phytopathogener Mikroorganismus \| Schädlingsbekämpfung
Description of contents:	Table of Contents [gbv.de]

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Extent:	1 Online-Ressource (XIX, 290 Seiten)
Series:	Advances in environmental engineering and green technologies (AEEGT)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index.
ISBN:	978-1-5225-9634-9 ; 978-1-5225-9633-2 ; 978-1-5225-9632-5
Other identifiers:	10.4018/978-1-5225-9632-5 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012394286