This document outlines topics to be covered in a three-day course on irrigation water management for CNMP development. The course will cover determining the volume of water needed for crops including consumptive use, net irrigation requirements, and management allowed depletion. It will also discuss irrigation scheduling and the importance of considering crop, soil, climate and irrigation system factors. Finally, the document outlines three levels of conducting irrigation system evaluations for clients.
Soil water conservation methods in agricultureVaishali Sharma
This presentation includes introduction as well as all the methods in agriculture either engineering or agronomic measures used in conservation of soil and water against erosion or other deteriorative factors.
irrigation water management deals with various management aspects such as canal management, designing irrigation systems, irrigation efficiency, scheduling and water quaility etc.
Soil water conservation methods in agricultureVaishali Sharma
This presentation includes introduction as well as all the methods in agriculture either engineering or agronomic measures used in conservation of soil and water against erosion or other deteriorative factors.
irrigation water management deals with various management aspects such as canal management, designing irrigation systems, irrigation efficiency, scheduling and water quaility etc.
describes the irrigation and irrigation requirements of different crops. this ppt also describes about different methods to measure the soil moisture availability.
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describes the irrigation and irrigation requirements of different crops. this ppt also describes about different methods to measure the soil moisture availability.
Soil water movement
Soil water movement
Soil water movement
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this slide show is about the various technologies that are used in irrigation today. it has some brief data on various such techniques and also has a few listed advantages and disadvantages.
Postharvest Losses in the Caribbean: Progress and Challenges in Quantificatio...FAO
Presentación de Majeed Mohammed y Kelvin Craig, en el marco del “Second Regional Dialogue on Prevention and Reduction of Food Losses and Waste”, realizado el 17 y 18 de noviembre de 2016, en Saint George’s, Granada.
As part of the seminar held by the International Food Policy Research Institute (IFPRI) in collaboration with IWMI, World fish and ICARDA “Options for improving irrigation water efficiency for sustainable agricultural development”.
DSD-INT 2017 Connecting ecology and water allocation - ChrzanowskiDeltares
Presentation by Clara Chrzanowski (Deltares) at the River Basin Planning and Modelling symposium, during Delft Software Days - Edition 2017. Wednesday, 25 October 2017, Delft.
Irrigation with municipal waste water is a suitable disposal option in all regions where additional moisture can be effectively utilized for improved crop production. Waste water loading is to be based on the consumptive water use of the crop being grown. The primary objective should be enhancement of crop production. The root zone of productive soils can often serve as one of the most active media for the decomposition, immobilization, or utilization of wastes.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
2. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Irrigation Water Management is the
process of determining and
controlling the volume, frequency,
and application rate of irrigation water
in a planned, efficient manner.
3. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Why is Irrigation Water Management
Important?
– Manage soil moisture to promote desired crop
response.
– Optimize the use of available water supplies.
– Minimize irrigation induced erosion.
– Decrease non-point source pollution of surface
and groundwater resources.
– Manage salts in the crop root zone.
– Manage air, soil or plant micro-climate.
4. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Minimum Documentation:
– Crops to be Grown, Cropping Sequence and
Soils Information.
– Volume of Water Needed per Irrigation and for
the season.
– Application rate of irrigation water.
– Records Showing Date and Amount of Water
Applied.
• Include type of irrigation scheduling technique used
by the client.
– Evaluation of the Irrigation System
– Environmental Considerations
5. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Determining Volume of Water Needed
6. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Determining Volume of Water Needed
– Crop Consumptive Use (CU)
The amount of water used by the crop
in transpiration and building of plant
tissue, and that evaporated from
adjacent soil or intercepted by plant
foliage. It is expressed as depth in
inches or as volume in acre inches per
acre. It can represent the daily, design,
monthly, or seasonal quantity of water
needed for plant growth. Often referred
to as Crop Evapotranspiration (ETc ).
7. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Determining Volume of Water Needed
– Net Irrigation Water Requirements (Fn )
• Crop Evapotranspiration (ETc ).
• Auxiliary water needs such as leaching,
temperature modification and crop
quality (Aw ).
• Effective precipitation (Pe ).
• Groundwater contribution (GW).
• Change in soil water content for the
period of consideration (ΔSW).
8. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Determining Volume of Water Needed
– Net Irrigation Water Requirements (Fn ),
Auxiliary Water Needs for Salinity
Management
• Soils in arid areas have the potential to become
saline or sodic.
• Saline or sodic soils will cause poor seed
germination and reduced yields.
• Additional water must be added to soils with a
potential to have saline or sodic problems to
leach excess salts.
• Where the soluble salt content of wastewater is
high enough to cause problems, the wastewater
must be diluted with good quality water or
applications must be limited.
9. CNMP Development Course November 16-18, 2004
Irrigation Water Management
MAD is defined as the percentage of the
available soil water that can be depleted
between irrigations without serious plant
moisture stress. MAD is expressed as:
– a percentage of the total Plant Available
Water Capacity (AWC),
– a soil-water deficit (SWD) in inches, or
– an allowable soil-water tension level.
• Determining Volume of Water Needed
– Management Allowed Depletion (MAD)
10. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Irrigation Scheduling
11. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Irrigation Scheduling
Important factors to keep in mind when developing a
irrigation scheduling tool for a client:
• The scheduling tool must consider information
about the crop, soil, climate, irrigation system,
water deliveries and management objectives.
• An irrigation scheduling tool needs only be
accurate enough to determine how much water
to apply and when.
• A good rule of thumb to follow when developing
an irrigation scheduling tool is to keep it simple
and easy for the client to understand.
12. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Irrigation System Evaluation
13. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Irrigation System Evaluation
Irrigation system evaluation is the analysis of any
irrigation system and management based on
measurements taken in the field under normal
conditions and management.
There are three levels of irrigation system
evaluations that can be performed:
Simplified
Abbreviated
Detailed
14. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Irrigation System Evaluation
There are 3 levels of Irrigation System Evaluations:
Simplified – This type of evaluation provides enough
information to the landowner/operator to make
management and operation decisions. This
evaluation usually takes a few hours to complete.
Abbreviated – This type of evaluation provides enough information
for the landowner/operator to make management
and operation decisions plus identify any problems
with the system. This evaluation takes a half to full
day to complete.
Detailed – This type of evaluation provides the landowner/
operator with a report and a comprehensive
irrigation system operation and maintenance plan.
This evaluation can take up to one to five days to
complete.
15. CNMP Development Course November 16-18, 2004
Irrigation Water Management
• Learning Exercise
Refer to the packet of materials in your
course notebook for the learning exercise.
CNMP Core Curriculum Speaker Notes : The student should become familiar with the basic concepts of irrigation water management and what is required for documentation. Required Course Materials : United States Department of Agriculture - Natural Resources Conservation Service. 1997. National Engineering Handbook, Part 652, Irrigation Guide, Chapter 9, Irrigation Water Management. Washington, D.C. Available at: www.info.usda.gov/CED/. Accessed 30 June 2004. United States Department of Agriculture - Natural Resources Conservation Service. 2004. National Statement of Work for Irrigation Water Management, Washington, D.C. Available at: www.nrcs.usda.gov/technical/standards/nhcp.html. Accessed 30 June 2004. Supplemental Resources : Local Irrigation District Water Management Plans and Irrigation Guides. United States Department of Agriculture - Natural Resources Conservation Service. 1997. National Engineering Handbook, Part 652, Irrigation Guide, Washington, D.C. Available at: www.info.usda.gov/CED/. Accessed 30 June 2004. United States Department of Agriculture - Natural Resources Conservation Service. 1997. National Engineering Handbook, Part 623, Irrigation, Section 15, Chapters 1 through 12, Washington, D.C. Available at: www.info.usda.gov/CED/. Accessed 30 June 2004. Suggested Learning Exercise : Provide the following information : Soil Name and physical soil properties table. Crop name, effective rooting depth, managed allowed deficit, and peak irrigation water requirement. Irrigation system efficiency and acres irrigated. At the end of the presentation have the students calculate total available soil water capacity, net irrigation water requirement, irrigation frequency, gross irrigation requirement and the required flowrate needed using the information provided.
CNMP Core Curriculum Speaker Notes : Present the definition of Irrigation Water Management shown on this slide to the students.
CNMP Core Curriculum Speaker Notes : Discuss why Irrigation Water Management is important when developing resource management plans.
CNMP Core Curriculum Speaker Notes : Discuss the minimum documentation requirements for Irrigation Water Management taken from the Statement of Work- Crops to be Grown, Cropping Sequence and Soils Information is to be obtained during the inventory process of developing the CNMP. Volume of Water Needed per Irrigation and for the season can also be obtained during the inventory process of developing the CNMP if there is good documentation available for the design of the irrigation system. Records Showing Date and Amount of Water Applied including the type of irrigation scheduling technique used by irrigator. If available this information will also be obtained during the inventory process of developing the CNMP. If this information is not available a record keeping system for irrigation scheduling will have to be developed for the landowner/operator. Evaluation of the Irrigation System should be done during the inventory process to develop the CNMP or for the design and application of irrigation water management as a single practice. Environmental Considerations are addressed during the inventory process for applying irrigation water management and are related to water quality, cultural resources and endangered plants and animals.
CNMP Core Curriculum Speaker Notes : This slide introduces section on how to determine the amount of water needed.
CNMP Core Curriculum Speaker Notes : Discuss the definition of Crop Consumptive Use (CU) as presented on this slide.
CNMP Core Curriculum Speaker Notes : Discuss the components of Net Irrigation Water Requirements as presented on this slide.
CNMP Core Curriculum Speaker Notes : Discuss the need to increase the net irrigation requirement for leaching excess salts. Saline Soil – This soil contains salts that provide an electrical conductivity of the soil-water extract, ECe of mor than 4.0 mmho/cm, and an exchangeable sodium percentage (ESP) of less than 15. The principal anions are cloride, sulfate, small amounts of bicarbonate, and occasionally some nitrate. Saline-Sodic Soil – This soil contains salts that provide an ECe of more than 4.0 mmhos/cm and an ESP or more than 15. It is difficult to leach because the clay colloids are dispersed. Nonsaline-sodic Soil – This soil contains stalts that provide an ECe of less than 4.0 mmho/cm and an ESP of more than 15. Soil with these characteristics are commonly referred to as “black alkali” or “slick spots”.
CNMP Core Curriculum Speaker Notes : Discuss the definition of the Management Allowed Depletion (MAD) presented on this slide. Mention that clay soils will store more water that sandy soils but do not release soil water as easily as sandy soils so the plant has to work harder to get water from clay soils. The objective is to allow the plant to extract water from the soil without causing it to work so hard to do so it does not produce the intended growth response.
CNMP Core Curriculum Speaker Notes : This slide presents the introduction to irrigation scheduling. Explain that irrigation scheduling involves monitoring soil-water content and/or crop water use.
CNMP Core Curriculum Speaker Notes : This slide presents important factors to keep in mind when developing an irrigation scheduling tool.
CNMP Core Curriculum Speaker Notes : This slide presents the introduction to Irrigation System Evaluations.
CNMP Core Curriculum Speaker Notes : This slide presents the basic definition of a irrigation system evaluation. Also presented are the three levels of irrigation system evaluations that can be performed. The simplified evaluation is the minimum requirement for designing the irrigation water management pracitice.
CNMP Core Curriculum Speaker Notes : This slide presents the definition of the three levels of irrigation evaluations that can be performed and the estimated time required for each level of evaluation.
CNMP Core Curriculum Speaker Notes : Present the learning exercise. This exercise should take approximately 15 minutes to complete.