Bioproduction engineering

Automation and precision agronomics for sustainable agricultural systems, second edition

Tofael Ahamed, Ryozo Noguchi, Tomohiro Takigawa, Lei Tian

Research output: Book/ReportBook

Abstract

Crop production varies spatially and temporally within the field boundaries depending on soil and environmental conditions. The major concern of variability for agronomic inputs addresses how best to intervene in the right place, at the right time and in the right quantity to improve the potential yield of crops and feedstock. This book addresses the important question of how large a role bioproduction and renewable energy can play in achieving sustainable agricultural practices in the present system of agricultural production. Agronomy is local, which brings the challenges to the remote optimization of agricultural machinery operations for seeding, fertilizing, crop protecting, and harvesting in the field level to adopt precise agriculture technologies. Cloud computing and big data analytics bring the potential about in machine optimization and agronomy to enable the site-specific management. Understanding bioproduction engineering and development can help improve the efficiency of a sustainable agriculture system. With the aim of understanding this process, this book focuses on bioproduction and sustainability issues, covering sensors, agricultural decision-making systems and the relationship between bioproduction and sustainable practices of agriculture. The chapters are organized as follows: information oriented technology that can be implemented to address the variability of bioproduction systems, sensors and control systems, precision agricultural technology, decision support systems in agriculture, renewable energy resources and analytical hierarchy processes for agricultural management. The crop growth monitoring parameters like LAI and NDVI points were clarified in the pre-processing stage of images. The decisions and logistics that influence the market prices of agricultural products is emphasized within the revised edition of this book.

Original languageEnglish (US)
PublisherNova Science Publishers, Inc.
Number of pages274
ISBN (Electronic)9781634847933
ISBN (Print)9781634838238
StatePublished - Jan 1 2016

Fingerprint

Automation
Agriculture
Renewable Energy
Technology
Decision Making
Soil
Growth

ASJC Scopus subject areas

  • Psychology(all)

Cite this

Bioproduction engineering : Automation and precision agronomics for sustainable agricultural systems, second edition. / Ahamed, Tofael; Noguchi, Ryozo; Takigawa, Tomohiro; Tian, Lei.

Nova Science Publishers, Inc., 2016. 274 p.

Research output: Book/ReportBook

Ahamed, Tofael ; Noguchi, Ryozo ; Takigawa, Tomohiro ; Tian, Lei. / Bioproduction engineering : Automation and precision agronomics for sustainable agricultural systems, second edition. Nova Science Publishers, Inc., 2016. 274 p.
@book{d846cf06ed514bc6a597611b95b44c08,
title = "Bioproduction engineering: Automation and precision agronomics for sustainable agricultural systems, second edition",
abstract = "Crop production varies spatially and temporally within the field boundaries depending on soil and environmental conditions. The major concern of variability for agronomic inputs addresses how best to intervene in the right place, at the right time and in the right quantity to improve the potential yield of crops and feedstock. This book addresses the important question of how large a role bioproduction and renewable energy can play in achieving sustainable agricultural practices in the present system of agricultural production. Agronomy is local, which brings the challenges to the remote optimization of agricultural machinery operations for seeding, fertilizing, crop protecting, and harvesting in the field level to adopt precise agriculture technologies. Cloud computing and big data analytics bring the potential about in machine optimization and agronomy to enable the site-specific management. Understanding bioproduction engineering and development can help improve the efficiency of a sustainable agriculture system. With the aim of understanding this process, this book focuses on bioproduction and sustainability issues, covering sensors, agricultural decision-making systems and the relationship between bioproduction and sustainable practices of agriculture. The chapters are organized as follows: information oriented technology that can be implemented to address the variability of bioproduction systems, sensors and control systems, precision agricultural technology, decision support systems in agriculture, renewable energy resources and analytical hierarchy processes for agricultural management. The crop growth monitoring parameters like LAI and NDVI points were clarified in the pre-processing stage of images. The decisions and logistics that influence the market prices of agricultural products is emphasized within the revised edition of this book.",
author = "Tofael Ahamed and Ryozo Noguchi and Tomohiro Takigawa and Lei Tian",
year = "2016",
month = "1",
day = "1",
language = "English (US)",
isbn = "9781634838238",
publisher = "Nova Science Publishers, Inc.",

}

TY - BOOK

T1 - Bioproduction engineering

T2 - Automation and precision agronomics for sustainable agricultural systems, second edition

AU - Ahamed, Tofael

AU - Noguchi, Ryozo

AU - Takigawa, Tomohiro

AU - Tian, Lei

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Crop production varies spatially and temporally within the field boundaries depending on soil and environmental conditions. The major concern of variability for agronomic inputs addresses how best to intervene in the right place, at the right time and in the right quantity to improve the potential yield of crops and feedstock. This book addresses the important question of how large a role bioproduction and renewable energy can play in achieving sustainable agricultural practices in the present system of agricultural production. Agronomy is local, which brings the challenges to the remote optimization of agricultural machinery operations for seeding, fertilizing, crop protecting, and harvesting in the field level to adopt precise agriculture technologies. Cloud computing and big data analytics bring the potential about in machine optimization and agronomy to enable the site-specific management. Understanding bioproduction engineering and development can help improve the efficiency of a sustainable agriculture system. With the aim of understanding this process, this book focuses on bioproduction and sustainability issues, covering sensors, agricultural decision-making systems and the relationship between bioproduction and sustainable practices of agriculture. The chapters are organized as follows: information oriented technology that can be implemented to address the variability of bioproduction systems, sensors and control systems, precision agricultural technology, decision support systems in agriculture, renewable energy resources and analytical hierarchy processes for agricultural management. The crop growth monitoring parameters like LAI and NDVI points were clarified in the pre-processing stage of images. The decisions and logistics that influence the market prices of agricultural products is emphasized within the revised edition of this book.

AB - Crop production varies spatially and temporally within the field boundaries depending on soil and environmental conditions. The major concern of variability for agronomic inputs addresses how best to intervene in the right place, at the right time and in the right quantity to improve the potential yield of crops and feedstock. This book addresses the important question of how large a role bioproduction and renewable energy can play in achieving sustainable agricultural practices in the present system of agricultural production. Agronomy is local, which brings the challenges to the remote optimization of agricultural machinery operations for seeding, fertilizing, crop protecting, and harvesting in the field level to adopt precise agriculture technologies. Cloud computing and big data analytics bring the potential about in machine optimization and agronomy to enable the site-specific management. Understanding bioproduction engineering and development can help improve the efficiency of a sustainable agriculture system. With the aim of understanding this process, this book focuses on bioproduction and sustainability issues, covering sensors, agricultural decision-making systems and the relationship between bioproduction and sustainable practices of agriculture. The chapters are organized as follows: information oriented technology that can be implemented to address the variability of bioproduction systems, sensors and control systems, precision agricultural technology, decision support systems in agriculture, renewable energy resources and analytical hierarchy processes for agricultural management. The crop growth monitoring parameters like LAI and NDVI points were clarified in the pre-processing stage of images. The decisions and logistics that influence the market prices of agricultural products is emphasized within the revised edition of this book.

UR - http://www.scopus.com/inward/record.url?scp=85030245851&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85030245851&partnerID=8YFLogxK

M3 - Book

SN - 9781634838238

BT - Bioproduction engineering

PB - Nova Science Publishers, Inc.

ER -