Agronomy Algorithm (Hardcover)

, , ,
Algorithim (mathematics) helps in understanding the direct and indirect relationship of plants that exist within it and other environmental factors. This book helps to understand how yield is related to different growth parameters, how growth is influenced by different environmental phenomenon, how best the resources can be used for crop production, etc. The numerical examples in the book guide a student to coordinate the different parameters and understand the subject of Agronomy well. This book is divided into thirteen chapters and covers comprehensively the different agronomic aspects to understand the science of mathematical Agronomy to meet the current and future challenges related to cropping practices.

R3,090
List Price R3,718
Save R628 17%

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles30900
Mobicred@R290pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 9 - 15 working days


Toggle WishListAdd to wish list
Review this Item

Product Description

Algorithim (mathematics) helps in understanding the direct and indirect relationship of plants that exist within it and other environmental factors. This book helps to understand how yield is related to different growth parameters, how growth is influenced by different environmental phenomenon, how best the resources can be used for crop production, etc. The numerical examples in the book guide a student to coordinate the different parameters and understand the subject of Agronomy well. This book is divided into thirteen chapters and covers comprehensively the different agronomic aspects to understand the science of mathematical Agronomy to meet the current and future challenges related to cropping practices.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Taylor & Francis

Country of origin

United Kingdom

Release date

November 2022

Availability

Expected to ship within 9 - 15 working days

First published

2023

Authors

, , ,

Dimensions

234 x 156 x 23mm (L x W x T)

Format

Hardcover

Pages

252

ISBN-13

978-1-03-238884-7

Barcode

9781032388847

Categories

LSN

1-03-238884-6



Trending On Loot