Digital Agriculture: A Solution for Sustainable Food and Nutritional Security

ISBN-13: 9783031435478 / Angielski

P. M. Priyadarshan; Shri Mohan Jain; Suprasanna Penna

Spis treści

Sections

Chapter

Potential authors

 

Digital Agriculture for the years to come

P.M. Priyadarshan, Mohan Jain, Suprasanna Penna, Jameel Al-Khyri

Part 1 Vertical farming and nurseries (both controlled and uncontrolled environments)

 

 

Soilless smart agriculture systems for future climate

 

Malek Al-Chalabi

Imperial College London, United Kingdom; University of Oxford, United Kingdom

Malek.alchalabi@ouce.ox.ac.uk

 

David Sanjuan-Delmás

Institute of Environmental Sciences and Technology (MDM-2015-0552), Z Building, UniversitatAutònoma de Barcelona (UAB), Campus UAB, 08193, Bellaterra, Barcelona, Spain

David.sanjuandelmas@gmail.com

 

 

Nutrient dynamics for hydroponic systems

 

Dr David Sanjuan-Delmás

Ghent University, Coupure Links 653, Ghent, Belgium

David.sanjuandelmas@gmail.com

 

Mathilde Eck

Integrated and Urban Plant Pathology LaboratoryUniversité de Liège, Agro-Bio TechGemblouxBelgium

mathilde.eck@uliege.be

Vertical farming approach for future food-production requirements

Francesco Orsini

1DISTAL – Department of Agricultural and Food Sciences, ALMA MATER STUDIORUM – Bologna University, Bologna, Italy

f.orsini@unibo.it

Fatemeh Kalantari Department of Landscape Architecture, Faculty of Design and Architecture, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia

Fatimah.Kalantari@gmail.com

 

Control & Intelligent

Sensors in Aeroponic Systems

Gao Jianmin, Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Institute of Agricultural Engineering, Jiangsu University, Zhenjiang, 212013 Jiangsu, China

gaojianminujs@163.com

Resource use efficiency and success in vertical farming

 

Francesco Orsini, Horticulture and Product Physiology Group, Wageningen University & Research, Wageningen, Netherlands

f.orsini@unibo.it

Vertical nurseries for space management

J. Rasmus Nielsen, 1 Technical University of Denmark, National Institute of Aquatic Resources, Charlottenlund, Denmark

rn@aqua.dtu.dk

Urban vertical farms-future need

 

Anna Zareba, Faculty of Earth Sciences and Environmental Management, University of Wrocław, 50-137 Wrocław, Poland

anna.zareba@uwr.edu.pl

 

Resource use efficiency in vertical farming

George Xydis

 Department of Business Development and Technology, Centre for Energy Technologies, Aarhus University, Herning, Denmark 

 e-mail address: gxydis@btech.au.dk

 

Genetic conservation through in vitro technologies

 

Suprasanna Penna, Mohan Jain,

P.M. Priyadarshan

Part 2 IoT (internet of things) in Agriculture

 

 

Agricultural Robotics

 

Girish Chowdhary, 

Department of Agricultural and

Biological Engineering, University of Illinois at Urbana Champaign, 1304 West Pennsylvania Avenue Urbana, IL 61801, USA;

Email: girishc@illinois.edu

 

Redmond Ramin Shamshiri, Department of
Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia,Selangor, Malaysia.

 Email: raminshamshiri@upm.edu.my.

IoT, big data and artificial intelligence in agriculture and food industry

 

Ingenium Naturae Pvt Ltd, Gujarat, 392001, India, and also with the Department of Engineering at Dalhousie University, NS, B2N 5E6, Canada. 

misra.cftri@gmail.com

 

 

José Luis Ruiz-Real

Faculty of Economics and Business, University of Almeria, Ctra. De Sacramento, s/n, 04120 Almería, Spain

jlruizreal@ual.es

 

Remote sensing

Clement Atzberger
Institute for Surveying, Remote Sensing & Land Information (IVFL), University of Natural Resources
and Life Sciences, Vienna (BOKU), Peter Jordan Strasse 82, 1190 Vienna, Austria;
E-Mail: clement.atzberger@boku.ac.at

 

Computer imaging

 

Manan Shah

Department of Chemical Engineering, School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India

manan.shah@spt.pdpu.ac.in

 

Satellite imagery and crop modelling

 

Sindhuja Sankaran
Department of Biological Systems Engineering, Washington State University, Pullman, WA,USA 
*Email address: sindhuja.sankaran@wsu.edu

 

Thomas K. Alexandridis

Department of Hydraulics, Soil Science and Agricultural Engineering, Faculty of Agriculture,
Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;

thalex@agro.auth.gr

Unmanned arial vehicles (UAVs/Drones)

 

Applications of Drones: image-based plant phenotyping and breeding

 

 

 

Asheesh K. Singh

Department of Mechanical Engineering, Iowa State University, Ames, Iowa, USA

 

Email: singhak@iastate.edu

Digital yield predictions

 

André Barriguinha

NOVA Information Management School (NOVA IMS), Campus de Campolide, Universidade Nova de Lisboa,
1070-312 Lisboa, Portugal

abarriguinha@novaims.unl.pt

Digital yield mapping

 

Qamar Uz Zaman, Engineering Department, Nova Scotia Agriculture College,
P.O. Box 550, Truro, B2N 5E3, NS, Canada; phone: 902‐893‐5426; fax:
902‐893‐1859; e‐mail: qzaman@nsac.ca.

Part 3 Speed breeding / Fast forward breeding

 

 

Crop phenomics and high-throughput phenotyping

 

David Edwards

School of Biological Sciences and Institute of Agriculture, University of Western Australia  Perth, Western Australia 6009, Australia

dave.edwards@uwa.edu.au

 

Yong Suk Chung

Jeju National University – Dept. of Plant Resources and Environment, Jejudaehak-ro 102, 63243, Jeju-si, Jeju-do – South Korea.

yschung@jejunu.ac.kr

Speed breeding for model plant research

 

Brande B. H. Wulff and Lee T. Hickey

brande.wulff@jic.ac.uk

l.hickey@uq.edu.au

Hussein Shimelis, African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, Pietermaritzburg, South Africa. Email: Shimelish@ukzn.ac.za

 

Fast forward breeding

 

 

Alfonso Cuesta Marcos, Oregon State University

alfonso.cuesta-marcos@oregonstate.edu

 

Part 4 Digital agriculture for enhanced yield (including protection against pests and diseases)

 

 

Biodiversity sustainability 

 

Sergi Garcia-Segura

Nanosystems Engineering Research Center for Nanotechnology-Enabled Water Treatment, School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ 85287-3005, USA

Sergio.Garcia.Segura@asu.edu

 

Natural resources sustainability

 

Peter Seele. Università della Svizzera italiana, Lugano, Switzerland

peter.seele@usi.ch

Environment sustainability

 

Larisa Hrustek
Faculty of Organization and Informatics, University of Zagreb, 42000 Varazdin, Croatia;

lhrustek@foi.unizg.hr

Part 5 Precision agriculture technologies

 

Sensors for plant health

 

Anne-Katrin Mahlein, Institute for Crop Science and Resource Conservation (INRES) - Phytomedicine, University of Bonn, Meckenheimer Allee 166a, 53115 Bonn, Germany

E-mail: amahlein@uni-bonn.de

Soil nutrient sensors for precision Agriculture

 

Tomas Norton   Engineering Department, Harper Adams University, Newport, Shropshire TF10 7BP, UK;

tnorton@harper-adams.ac.uk

Sensing systems for environmental management

 

Mihai Valentin HERBEI

Cartography and GIS, Banat University of Agricultural Sciences and Veterinary Medicine, “Regele
Mihai I al României”, from Timisoara, Calea Aradului 119, 300645, Timisoara, Romania

mihai_herbei@yahoo.com

 

Plants as sensors

 

 

Markus Schwarzländer

Institute of Plant Biology and Biotechnology, University of Münster, Schlossplatz 8, D-48143 Münster,

Germany

 markus.schwarzländer@uni-muenster.de, matias.zurbriggen@uni-duesseldorf.de

 

A.Vitaletti

WLAB and University of Rome, La Sapienza Italy

andrea.vitaletti@w-lab.it

Part 6 Predictive agriculture

 

Artificial intelligence and machine learning models to track and predict environmental impacts 

 

Department of Chemical Engineering School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India

manan.shah@spt.pdpu.ac.in

 

Digital economy and information technology in the agricultural sector

 

 

Mikhail K. Chernyakov

Department of audit, Accounting and finance
Novosibirsk State Technical University
Novosibirsk, Russia
mkacadem@mail.ru

 

O autorze

P. M. Priyadarshan is a prominent Hevea rubber breeder. He began his research career by breeding triticale and wheat while doing M.Phil and PhD degrees at the Chaudhary Charan Singh University, Meerut under the guidance of Prof. P.K. Gupta. During the 1980s he focused on the in vitro culture of spices. He joined the Rubber Research Institute of India (Rubber Board, Ministry of Commerce, Govt. of India) as a Plant Breeder in 1990 and specialized in breeding Hevea rubber for sub-optimal environments. He was a visiting scientist at the Hardwood Tree Improvement and Regeneration Centre, Purdue University, U.S.A. In 2009, he became the Institute’s Deputy Director, and managed its Central Experiment Station until 2016.  He has been involved in breeding cereals, spices and Hevea rubber for 32 years. He is a reviewer of international journals, such as Industrial Crops & Products, Tree Genetics and Genomes etc. He has published many research papers in journals of international repute, such as Advances in Agronomy, Advances in Genetics, and Plant Breeding Reviews. He has edited/co-edited Breeding Plantation Tree Crops (Springer), Breeding Major Food Staples (Blackwell-Wiley), the Genomics of Tree Crops (Springer), and more recently, Cash Crops (Springer). 

Shri Mohan Jain received his Ph.D. in 1978 from Jawaharlal Nehru University, New Delhi, India. He completed his postdoctoral fellowship in Israel, USA, and was a visiting scientist/professor in Japan, Malaysia, Germany, and Italy. He works in both academia and industry, and has served as a Technical Officer on Plant Breeding and Genetics at the International Atomic Energy Agency (IAEA), Vienna, Austria. Dr. Jain is on the editorial Board of Euphytica, In Vitro, Propagation of Ornamental Plants; reviewer in Plant cell and organ culture, Plant cell reports, and few others. He has published more than 165 peer-reviewed journals, book chapters, and conference proceedings, and edited 65 books. He has also been a consultant for the European Union, The Government of Grenada, Iranian date palm Company and the Egyptian Government.   

Penna Suprasanna is the former Head of the Nuclear Agriculture & Biotechnology Division at Homi Bhabha National Institute (HBNI), Bhabha Atomic Research Centre, India

Jameel M. Al-Khayri is a Professor of Plant Biotechnology at the Department of Agricultural Biotechnology of King Faisal University (Saudi Arabia).

Blurb

The world population is increasing while arable land is decreasing at an alarming rate. About one-quarter of arable land is degraded and needs significant restoration before it can sustain crops again. By 2030, the water supply will fall 40% short of meeting global demand. Moreover, looming climate change poses additional challenge to increasing food production to feed 10 billion people by 2050. Current major agricultural systems are on a largely unsustainable trajectory because of their contributions to greenhouse gas emissions, water pollution, and biodiversity loss.

For these reasons, innovative technologies are being introduced in modern agriculture to sustain food production.  They include digital and geospatial technologies to manage soil, climate and plant genetic resources. With the development of tools and sensors integrated into the internet of things (IoT) environment, physically collected information is converted into computer-readable language. Digital innovations thus allow real-time analysis, machine learning, and artificial intelligence (AI) that manage massive amount of data, also known as big data. Accordingly, digital agriculture affords greater potential for sustainable farming and economic benefits.

This book summarizes the latest advances in AI-integration of agriculture practices. Specific focus includes but not limited to, big data, yield mapping, pests management, and optimal fertigation. As such, it presents a forward-looking approach to meet multiple UN Sustainable Development Goals, specifically, SDG 2, 6, 13 and 15.