PAIL Project
1
PAIL Project Chair: Aaron Berger Vice-Chair: Diganta Adhikari Project Manager: Dan Berne 2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
2
Agenda: • Brief Overview of PAIL – 10 min
• PAIL Status and Submission Plan – 5 min • Operations Examples (Charles) • Precision Ag Data Approach from Japan’s NARO @ 2:45 p.m.
• Q&A
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
3
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
Precision Ag Irrigation Language (PAIL) Data Standards Goal Improve agricultural irrigation by developing a common set of data standards and formats to convert data for use in irrigation data analysis and precision prescription programs.
Deliverables Use Cases Datasets Definitions Data schemas and formats Business Rules Glossary of terms Testing Supporting Documentation
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
AgGateway / PAIL Stakeholders AgGateway: About 240 companies
Precision Ag Council: About 120 companies
PAIL Project: 23+ companies (See below)
Some of the Data is Open Source, Other Proprietary Create recommendation
Rec in PAIL std. format
Create Work Order (WO)/Program
(Advisor or DSS)
WO / Program in PAIL std. format
(Grower agent)
The FMIS/DSS can support or drive rec creation in various, grower-specific possible ways.
FMIS or Irrigation DSS
Data Acquisition System (On-farm or 3rd party)
Data providers source data in standard format
Field Data
Crop Data
Sensor Data
Climate Data
Pump Data
(Grower agent) Commands in proprietary format
Historical Record of Irrigation and Related Applications
(Advisor/Grower agent)
Initiate Irrigation WO/Program
Data sources with proprietary formats
Execute WO/Program (Equipment) Event sequence in proprietary format
Assemble, source work records (OEM / 3rd party)
7
Benefits • Reduced Costs: Less Water Applied & Less Energy Used • Reduced Costs: Reduced Fertilizers • Less water stress: Increased Yield • Reduced Drainage • Reduced Leaching of Fertilizers • Easier Record Keeping and Reporting
8
PAIL Will Be Submitted as One Standard, with Multiple Parts: • Part 1: Core Concepts (Business Processes, Core Documents,
Controlled Vocabularies, Time, etc. • Part 2: Observations and Measurements • Part 3: Operations Extensible to new technologies and solutions
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
Core Document Flow
Supply Chain Partners & Sustainability
Scout or Irrigation Service
Crop Plan
Reports, Regulatory compliance
Observations & Measurements
Grower Work Record
Recommendation
Work order
Pivot Controller, Pivot & Sprinklers
Agronomist
Real-time Weather Info
10
PAIL 1.0 Submission Nov 4:
Feature Freeze
Nov 11:
Test Release Candidate
Nov 18:
Release Candidate 1.0
Dec 9:
Submit to S&G
Dec 5:
ASABE x632 Meetings
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
11
Team Effort • • • • • • • • • • • • •
Diganta Adhikari (Irrometer) Richard Andrus (Campbell Scientific) Chris Arnold (John Deere) Aaron Berger (AgSense) Kurtis Charling (Lindsay) Andres Ferreyra (AgConnections) Charles Hillyer (Texas A&M) Tim Marquis (WDT, Inc.) Steve Melvin (Lindsay) Bart Nef (Campbell Scientific) Stuart Rhea (AgConnections) Joe Russo (ZedX) Brent Shaw (Iteris)
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
12
NEXT STEPS • • • • • •
Promotion Training & Support PAIL Plug-In for ADAPT PAIL API Charter Revision Budget Update
• Drip Irrigation • Pumps and Flow Meters
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
13
Agenda: • Brief Overview of PAIL
• PAIL Status and Submission Plan • Operations Examples (Charles) • Precision Ag Data Approach from Japan’s NARO
• Q&A
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
PAIL Project Chair: Aaron Berger Vice-Chair: Diganta Adhikari Project Manager: Dan Berne 2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
2
Agenda: • Brief Overview of PAIL – 10 min
• PAIL Status and Submission Plan – 5 min • Operations Examples (Charles) • Precision Ag Data Approach from Japan’s NARO @ 2:45 p.m.
• Q&A
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
3
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
Precision Ag Irrigation Language (PAIL) Data Standards Goal Improve agricultural irrigation by developing a common set of data standards and formats to convert data for use in irrigation data analysis and precision prescription programs.
Deliverables Use Cases Datasets Definitions Data schemas and formats Business Rules Glossary of terms Testing Supporting Documentation
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
AgGateway / PAIL Stakeholders AgGateway: About 240 companies
Precision Ag Council: About 120 companies
PAIL Project: 23+ companies (See below)
Some of the Data is Open Source, Other Proprietary Create recommendation
Rec in PAIL std. format
Create Work Order (WO)/Program
(Advisor or DSS)
WO / Program in PAIL std. format
(Grower agent)
The FMIS/DSS can support or drive rec creation in various, grower-specific possible ways.
FMIS or Irrigation DSS
Data Acquisition System (On-farm or 3rd party)
Data providers source data in standard format
Field Data
Crop Data
Sensor Data
Climate Data
Pump Data
(Grower agent) Commands in proprietary format
Historical Record of Irrigation and Related Applications
(Advisor/Grower agent)
Initiate Irrigation WO/Program
Data sources with proprietary formats
Execute WO/Program (Equipment) Event sequence in proprietary format
Assemble, source work records (OEM / 3rd party)
7
Benefits • Reduced Costs: Less Water Applied & Less Energy Used • Reduced Costs: Reduced Fertilizers • Less water stress: Increased Yield • Reduced Drainage • Reduced Leaching of Fertilizers • Easier Record Keeping and Reporting
8
PAIL Will Be Submitted as One Standard, with Multiple Parts: • Part 1: Core Concepts (Business Processes, Core Documents,
Controlled Vocabularies, Time, etc. • Part 2: Observations and Measurements • Part 3: Operations Extensible to new technologies and solutions
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
Core Document Flow
Supply Chain Partners & Sustainability
Scout or Irrigation Service
Crop Plan
Reports, Regulatory compliance
Observations & Measurements
Grower Work Record
Recommendation
Work order
Pivot Controller, Pivot & Sprinklers
Agronomist
Real-time Weather Info
10
PAIL 1.0 Submission Nov 4:
Feature Freeze
Nov 11:
Test Release Candidate
Nov 18:
Release Candidate 1.0
Dec 9:
Submit to S&G
Dec 5:
ASABE x632 Meetings
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
11
Team Effort • • • • • • • • • • • • •
Diganta Adhikari (Irrometer) Richard Andrus (Campbell Scientific) Chris Arnold (John Deere) Aaron Berger (AgSense) Kurtis Charling (Lindsay) Andres Ferreyra (AgConnections) Charles Hillyer (Texas A&M) Tim Marquis (WDT, Inc.) Steve Melvin (Lindsay) Bart Nef (Campbell Scientific) Stuart Rhea (AgConnections) Joe Russo (ZedX) Brent Shaw (Iteris)
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
12
NEXT STEPS • • • • • •
Promotion Training & Support PAIL Plug-In for ADAPT PAIL API Charter Revision Budget Update
• Drip Irrigation • Pumps and Flow Meters
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
13
Agenda: • Brief Overview of PAIL
• PAIL Status and Submission Plan • Operations Examples (Charles) • Precision Ag Data Approach from Japan’s NARO
• Q&A
2016 Annual Conference: Using Collaboration and Connectivity to Cultivate Success
