Modern Techniques for Agricultural Disease Management and Crop Yield Prediction (Advances in Environmental Engineering and Green Technologies) - Image 1

£160.99

Engineering Science Reference Modern Techniques for Agricultural Disease Management and Crop Yield Prediction (Advances in Environmental Engineering and Green Technologies)

Name: Modern Techniques for Agricultural Disease Management and Crop Yield Prediction (Advances in Environmental Engineering and Green Technologies)
Brand: Engineering Science Reference
Price: 160.99 GBP
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Soil Science

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Description

Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.

Product Specifications

Brand: Engineering Science Reference
Format: hardcover
ASIN: 1522596321
Category: Books > Subjects > Crafts, Hobbies & Home > Gardening > Professional Horticulture > Soil Science
Domain: Amazon UK
Release Date: 16 August 2019
Listed Since: 21 June 2019

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Engineering Science Reference Modern Techniques for Agricultural Disease Management and Crop Yield Prediction (Advances in Environmental Engineering and Green Technologies)

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