Encyclopedia of Digital Agricultural Technologies

Digital agriculture is an emerging concept of modern farming that refers to managing farms using modern Engineering, Information and Communication Technologies (EICT) aiming at increasing the overall efficiency of agricultural production, improving the quantity and quality of products, and optimizing the human labor required and natural resource consumption in operations. This encyclopedia is designed to collect the summaries of knowledge on as many as subjects or aspects relevant to ECIT for digital agriculture, present such knowledge in entries, and arrange them alphabetically by articles titles.

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The Editorial Board

Dr. Irwin R. Donis-Gonzalez, University of California Davis, Dept. Biological and Agricultural Engineering, Davis, USA (Section: Postharvest Technologies)

Prof. Paul Heinemann, Pennsylvania State University, Department Head of Agricultural and Biological Engineering, PA, USA (Section: Technologies for Crop Production)

Prof. Manoj Karkee, Washington State University, Center for Precision and Automated Agricultural Systems, Washington, USA (Section: Robotics and Automation Technologies)

Encyclopedia of Digital Agricultural Technologies

Tables of Content

1.      Alphabetical List

2.      Agricultural Technologies

3.      AI, Information and Communication Technologies

4.      Engineering and Mechanization Technologies

5.      Technologies for Crop Production

6.      Technologies for Animal and Aquatic Production

7.      Postharvest Technologies

8.       

Alphabetical List

Table of Content

A

Agent-based modeling in agriculture

Agricultural and farming services

Agricultural artificial intelligence (AI)

Agricultural aviation

Agricultural data mining

Agricultural disaster assessment

Agricultural Internaet of Things (IoT) and Cyber-Physical Systems (CPS)

Agricultural waste management

Agriculture resilience management

Animal building microclimate control

Animal feeding systems

Animal manure management

Animal phenotyping

Animal welfare monitoring

Aquatic Pest Control

AR & VR in agriculture

Autonomous (unmanned) farming

Auto-steering of field machinery

 

B

Big data technology in agriculture

Blockchain applications in agriculture

 

C

Chemigation and fertigation technologies

Climate-smart agriculture (including drought tolerance farming)

Cloud, edge, and fog computing in agriculture

Computational modelling for postharvest grain handling and storage

Computer vision in agriculture

Control of agricultural diseases and insect pests

Controlled traffic farming

Controlled-Environment Agriculture

Coordinated robotic field operations

Crop disease control and management

Crop health sensing (nutrients, disease, and water strengths)

Crop load management in perennial crops

Crop phenotyping sensing

Crop Yield Estimation and prediction

Cropping systems model

 

D

Data visualization and visual analytics for agriculture

Data-driven management in agriculture

Decision support systems in agriculture

Digital agriculture

Digital mapping of soil and vegetation

Digital pasture management

Digital twins in smart farming

Digitalization of agricultural knowledge

Documentation and mapping of precision operations

Drive-by- and fly-by-wire technologies

 

E

E-Agriculture

Early detection of diseases for fruit trees

Economic and Financial Assessment and Adoption of Technology

Electrically powered machinery

Electronic nose technology

 

F

Farm management information systems (FMIS)

Farming data ownership, access, and federated learning

Field (wired or wireless) sensing networks

Field microclimate control

Fleet and swarm robotics

Fluorescence imaging technologies

Fruit grading systems and robots

Fruit in-field grading systems

Functional Safety of Ag Systems

Future systems sustainability and regenerative agriculture

 

G

Geospatial technologies in precision agriculture

GNSS assisted farming

Grain drying technologies

Greenhouse microclimate control

 

H

Harvesting technology for fruits and vegetables

Hatchery technologies

Human-in-the-loop technologies and human-machine interfaces

Hyper- and multi-spectral imaging technologies  

 

I

Image and video recognition for field phenotyping in agriculture

In-field sorting technologies

Integrated livestock and crops production

Integrated pest management

ISO bus technologies

 

L

Labor management in agriculture

Labor savings technologies

Levering data to generate production insights

Lidar technology applications in agriculture

 

M

Machine learning and deep learning platforms

Mechanical harvest technologies

Mechanized and robotized agriculture

Mechanized weed management

Milking robotics

Modeling tools for agriculture

Modelling of postharvest quality of horticultural products

 

N

Near-infrared technologies

Nutrition management in crop production

 

O

On-farm storage technologies

On-farm weather and environmental data acquisition

On-the-go field sensing

 

P

Perennial crop frost control

Plant and animal wearable sensing technology

Plant factory technologies (including "soilless cropping?)

Plant-machine interface (Crop for automation)

Postharvest handling systems

Postharvest storage technology for fruits and vegetables

Precision agriculture (including precision horticulture)

Precision aquaculture

Precision Livestock Farming

Product chemical residue and bacteria inspection

Product quality management

 

R

Raman spectroscopy and imaging technology

Real-time animal data modelling

Reducing or no-till farming

Regional distribution of animal manure nutrients

Remote and proximal sensing

RFID and traceability tag technologies

Robot as a Service (RaaS)

Robotic intelligence in agriculture

Robotics for animal management

 

S

Security in Smart Farming

Self-evolving smart agriculture

Semantic technology for agriculture

Sensors for postharvest quality evaluation and monitoring

sensors monitored animal health and feed efficiency

Site-specific management

Smart animal management (including poultry)

Smart Irrigation

Soil and water sensing

Sound-based monitoring of animals

Spatial and temporal variability analysis

Standardization and inspection, quality evaluation and control

Supervised or semi-autonomous agricultural machinery

Sustainable agriculture

 

T

Targeted spraying

Terahertz technology for agriculture

 

U

UAV and applications in agriculture

Urban agriculture (should vertical farming be part of it?)

 

V

Variable rate applications technology

 

W

Water-smart farming

Wearable robot technology

Wireless telecommunication technologies (1G -5G)

 

X

X-ray technology in agriculture

 

Y

 

 

 

 

 

 

 

Agricultural Technologies

Table of Content

Agricultural and farming services

Agricultural disaster assessment

Agricultural waste management

Agriculture resilience management

Animal manure management

Animal welfare monitoring

Aquatic Pest Control

Control of agricultural diseases and insect pests

Controlled-Environment Agriculture

Crop disease control and management

Crop load management in perennial crops

Cropping systems model

Digital agriculture

The Editor-in-Chief, Qin Zhang, is the Director of the Center for Precision and Automated Agricultural Systems (CPAAS), and a Professor of Agricultural Automation in the Department of Biological Systems Engineering, of Washington State University (WSU). His research interests are in the areas of agricultural automation, agricultural robotics, and off-road equipment mechatronics. Prior to his current position, he was a faculty member at the University of Illinois at Urbana-Champaign, worked at Caterpillar Inc., and taught at Zhejiang Agricultural University in China. He has authored/edited 10 books, written dozens separate book chapters, edited three conference proceedings, published over 180 peer reviewed journal articles and 60+ other peer reviewed publications. He is the holder of 11 U.S. patents. He is currently serving as the Editor-in-Chief for Computers and Electronics in Agriculture. Dr. Qin Zhang is a Member of Washington State Academy of Science, a Fellow of International Academy of Agricultural and Biological Engineering (iAABE), a Fellow of the American Society of Agricultural and Biological Engineers (ASABE), a Full Member of the Club of Bologna (a World Task-force on the Strategies for the Development of Agricultural Mechanization), and an Honorary Vice President of the International Commission of Agricultural and Biological Engineering (CIGR). Dr, Zhang has guest lectured over 60 universities in more than 20 countries.