The global food demand keeps increasing as the population rises, pushing farmers to seek sustainable agricultural practices to meet food shortages including production of fruits. As the population increases, available farmlands also decrease.
How are drones used for farming? The use of drones in agriculture is the future. Heavy lift drones capable of crop dusting and drones equipped with multispectral sensors will change the way in which farming is done.
Drone Technology in Agriculture Expert Insights 2023.pdfAhtasham Rao
Drones are soaring to new heights across various industries, and Drone Technology in Agriculture is no exception it's experiencing a drone revolution. According to recent reports, the agricultural drone market is set to skyrocket from $1.2 billion in 2019 to an impressive $4.8 billion by 2024. These flying marvels are becoming commonplace on farms of all sizes, playing crucial roles in tasks ranging from scouting to enhancing security.
Drones, often referred to as the superheroes of precision agriculture, and are arming farmers with valuable insights. They collect essential data that aids in making informed decisions about crops, forming the backbone of what is known as 'precision agriculture. Already integral to large-scale farming operations, these unmanned aerial vehicles gather data that helps farmers plan planting and treatments, potentially boosting yields by up to 5%. This increase is significant in an industry where profit margins are typically razor-thin.
In this article, we'll dive into the current applications of drone technology on farms, explore emerging agricultural drone innovations, and shed light on the steps and challenges involved in widespread adoption. Get ready to discover how drones are shaping the future of farming.
How are drones used for farming? The use of drones in agriculture is the future. Heavy lift drones capable of crop dusting and drones equipped with multispectral sensors will change the way in which farming is done.
Drone Technology in Agriculture Expert Insights 2023.pdfAhtasham Rao
Drones are soaring to new heights across various industries, and Drone Technology in Agriculture is no exception it's experiencing a drone revolution. According to recent reports, the agricultural drone market is set to skyrocket from $1.2 billion in 2019 to an impressive $4.8 billion by 2024. These flying marvels are becoming commonplace on farms of all sizes, playing crucial roles in tasks ranging from scouting to enhancing security.
Drones, often referred to as the superheroes of precision agriculture, and are arming farmers with valuable insights. They collect essential data that aids in making informed decisions about crops, forming the backbone of what is known as 'precision agriculture. Already integral to large-scale farming operations, these unmanned aerial vehicles gather data that helps farmers plan planting and treatments, potentially boosting yields by up to 5%. This increase is significant in an industry where profit margins are typically razor-thin.
In this article, we'll dive into the current applications of drone technology on farms, explore emerging agricultural drone innovations, and shed light on the steps and challenges involved in widespread adoption. Get ready to discover how drones are shaping the future of farming.
Drones can aid in livestock management by providing aerial surveillance of herds, locating lost or injured animals, monitoring grazing patterns, and identifying potential issues such as disease outbreaks or predator activity. They can also reduce labor costs, increase efficiency, and improve animal welfare.
The use of drones in livestock management has become increasingly popular, as they can provide valuable data on herd health, behavior, and location. Drones can be equipped with cameras, sensors, and GPS technology to monitor grazing patterns, identify sick or injured animals, and locate lost livestock. This helps farmers and ranchers make more informed decisions about herd management, leading to better animal welfare and higher yields.
Drones for Livestock Management Best Practices to Follow.pdfTechugo
To improve efficiency and obtain faster and best drones for crop scouting, many farms around the globe are embracing Animal counting technology. Livestock applications can be used for precision agriculture, but they also work well in livestock farming, which is often overlooked by AI drones.
Drones for Livestock Management- Best Practices to Follow.Techugo
A drone can plant seeds in the soil instead of using old methods. Although drones are relatively new for seed planting, many drone app development companies are trying this method.
Drone Seed, for example, is a startup that uses drone technology to plant crops. Unscrewed aircraft can spray crops with water, fertilizers, or herbicides. This reduces labor costs and time.
Drones for Livestock Management- Best Practices to Follow.Techugo
Drones are rapidly gaining popularity in the crop production industry. Farmers use drones to spot weeds, pests, and other nutrient deficiencies. Although drones are still being adopted slowly in cattle production, they will be more famous for drones for livestock management. Drones can be used to help their ranches from far away. To know more, visit the post.
Fundamental Research on Unmanned Aerial Vehicles to Support Precision Agricul...Redmond R. Shamshiri
Unmanned aerial vehicles carrying multimodal sensors for precision agriculture (PA) applications face adaptation challenges to satisfy reliability, accuracy, and timeliness. Unlike ground platforms, UAV/drones are subjected to additional considerations such as payload, flight time, stabilization, autonomous missions, and external disturbances. For instance, in oil palm plantations (OPP), accruing high resolution images to generate multidimensional maps necessitates lower altitude mission flights with greater stability. This chapter addresses various UAV-based smart farming and PA solutions for OPP including health assessment and disease detection, pest monitoring, yield estimation, creation of virtual plantations, and dynamic Web-mapping. Stabilization of UAVs was discussed as one of the key factors for acquiring high quality aerial images. For this purpose, a case study was presented on stabilizing a fixed-wing Osprey drone crop surveillance that can be adapted as a remote sensing research platform. The objective was to design three controllers (including PID, LQR with full state feedback, and LQR plus observer) to improve the automatic flight mission. Dynamic equations were decoupled into lateral and longitudinal directions, where the longitudinal dynamics were modeled as a fourth order two-inputs-two-outputs system. State variables were defined as velocity, angle of attack, pitch rate, and pitch angle, all assumed to be available to the controller. A special case was considered in which only velocity and pitch rate were measurable. The control objective was to stabilize the system for a velocity step input of 10m/s. The performance of noise effects, model error, and complementary sensitivity was analyzed.
January 2024. Smart Farming, or Smart Agriculture, is a modern approach to farming that utilizes information and communication technologies (ICTs) to enhance productivity, optimize human labor, reduce cost, increase revenue, minimize the environmental impact, and enhance sustainability.
Smart farming technologies include sensors, software, connectivity, robotics, and data analytics.
The Internet of Things (IoT) is the driving force behind smart farming, integrating machines and sensors to make farming processes data-driven, automated, and constantly improving. Where Artificial Intelligence (AI) is used in smart farming to enhance harvest quality and accuracy in detecting crop disease and poor nutrition.
The IoT based smart farming cycle stages are observation, diagnostic, decision, and finally, action.
Smart farming applications include precision farming, vertical farming, robotic farming, and Agrivoltaics.
Smart farming stakeholders are suppliers, farmers, retailers, consumers, employees, communities, governments, NGOs, Telecom providers, and smart farming equipment manufacturers.
There are many advantages to using smart farming technologies, such as increased production and yield, waste minimization, accuracy and precision improvements, resource and energy conservation, revenue increase, cost reduction, sustainability enhancement, deficiency identification, and the competitive edge over farms not using smart technologies.
However, there are challenges (barriers) to smart farming adoption, such as poor connectivity and network coverage, difficulties for farmers to analyze large data volumes (big data) across multiple growing seasons, lack of knowledge in setting up complex IoT systems for farmers, tough farming conditions, as equipment must withstand extreme weather conditions, the high cost of cutting-edge equipment requiring costly updates, service, and maintenance.
There are environmental, social, and economic benefits to smart farming utilization, such as emission and pollution reduction, fertilizer and chemical use reduction, new job opportunities, and increased food security for local communities.
Policy wise, in 2019, the Food and Agriculture Organization (FAO) launched the Climate Smart Agriculture (CSA), a sustainable approach to transforming agricultural food systems, aiming to increase productivity, build resilience to climate change, and reduce emissions. CSA supports the Paris Agreement and the Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, technologies, applications, stakeholders, advantages, challenges; environmental, social, and economic benefits, United Nations (UN) policy, and global statistics of smart farming utilization. For more slideshows on environmental sustainability, please visit s2adesign.com
Benefits of Drone Software for Agriculture.pdfInventcolabs
Drone software has revolutionized agriculture by providing a range of benefits to farmers. One of its key advantages is the ability to enhance precision farming. Farmers can closely monitor their crops in real-time, enabling them to make data-driven decisions to improve crop health and yields.
What are some key benefits of using agriculture drone services?sisiyui
Precision Farming: Drones ready with superior sensors and cameras can offer particular and precise information about crop health, soil situations, and other elements. This permits farmers to identify troubles early, optimize inputs, and make informed selections to improve crop yields and quality.
Efficiency: Drones can cowl huge areas of farmland quick and efficaciously, lowering the time and hard work required for crop tracking, mapping, and scouting. This allows farmers to maximise their productivity and attention their efforts on different important duties.
Cost Savings: By presenting correct statistics on crop conditions, drones help farmers optimize using resources inclusive of water, fertilizers, and pesticides. This can result in huge cost financial savings by means of decreasing input waste and enhancing aid efficiency.
Discover the cutting-edge advancements and transformative technologies shaping the future of agriculture. This Presentation delves into the latest innovations revolutionizing farm practices, from precision agriculture to sustainable farming solutions. Explore how emerging technologies are reshaping the agricultural landscape and paving the way for increased efficiency, productivity, and sustainability in farming operations.
For those aspiring for a career in modern agriculture and seeking a degree, consider enrolling in the B.Sc in Agriculture program at Lingayas Vidyapeeth, a distinguished university college in Delhi NCR.
Learn More about Course : https://www.lingayasvidyapeeth.edu.in/school/school-of-agriculture/
Dronxt the Era evolution is formed with a vision of creating new evolution in Intel and super inhuman effectiveness. it aims to enhance growth of drone’s sector globally in manufacturing innovative technology in both aerial unmanned and under water drones.
Smart Management of Oil Palm Plantations with Autonomous UAV Imagery and Robu...Redmond R. Shamshiri
A Breakthrough in Oil Palm Precision Agriculture: Smart Management of Oil Palm Plantations with Autonomous UAV Imagery and Robust Machine Vision
Link to the publication
https://www.researchgate.net/publication/306348123_A_Breakthrough_in_Oil_Palm_Precision_Agriculture_Smart_Management_of_Oil_Palm_Plantations_with_Autonomous_UAV_Imagery_and_Robust_Machine_Vision
Get Multiple Agriculture Benefits with Security Drones for Farms.pdfTechugo
You can’t inspect any sector of an economy without seeing drones. Security drones for farms are often used for many tasks. These include aerial surveillance, crop monitoring, and land inspection. They can also map the area, inspect for damaged or rotting plants, and perform other tasks.
Get Multiple Agriculture Benefits with Security Drones for Farms.Techugo
Security drones for farms have become an integral part of large areas. Farmers can use the data from drones to make better planting plans and determine the best harvesting methods. Some reports claim that precision farming has the potential to increase yields by as much as 5 %, which is a substantial increase in a market with low-profit margins.
Want to learn more about drones? Visit the post now.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Drones can aid in livestock management by providing aerial surveillance of herds, locating lost or injured animals, monitoring grazing patterns, and identifying potential issues such as disease outbreaks or predator activity. They can also reduce labor costs, increase efficiency, and improve animal welfare.
The use of drones in livestock management has become increasingly popular, as they can provide valuable data on herd health, behavior, and location. Drones can be equipped with cameras, sensors, and GPS technology to monitor grazing patterns, identify sick or injured animals, and locate lost livestock. This helps farmers and ranchers make more informed decisions about herd management, leading to better animal welfare and higher yields.
Drones for Livestock Management Best Practices to Follow.pdfTechugo
To improve efficiency and obtain faster and best drones for crop scouting, many farms around the globe are embracing Animal counting technology. Livestock applications can be used for precision agriculture, but they also work well in livestock farming, which is often overlooked by AI drones.
Drones for Livestock Management- Best Practices to Follow.Techugo
A drone can plant seeds in the soil instead of using old methods. Although drones are relatively new for seed planting, many drone app development companies are trying this method.
Drone Seed, for example, is a startup that uses drone technology to plant crops. Unscrewed aircraft can spray crops with water, fertilizers, or herbicides. This reduces labor costs and time.
Drones for Livestock Management- Best Practices to Follow.Techugo
Drones are rapidly gaining popularity in the crop production industry. Farmers use drones to spot weeds, pests, and other nutrient deficiencies. Although drones are still being adopted slowly in cattle production, they will be more famous for drones for livestock management. Drones can be used to help their ranches from far away. To know more, visit the post.
Fundamental Research on Unmanned Aerial Vehicles to Support Precision Agricul...Redmond R. Shamshiri
Unmanned aerial vehicles carrying multimodal sensors for precision agriculture (PA) applications face adaptation challenges to satisfy reliability, accuracy, and timeliness. Unlike ground platforms, UAV/drones are subjected to additional considerations such as payload, flight time, stabilization, autonomous missions, and external disturbances. For instance, in oil palm plantations (OPP), accruing high resolution images to generate multidimensional maps necessitates lower altitude mission flights with greater stability. This chapter addresses various UAV-based smart farming and PA solutions for OPP including health assessment and disease detection, pest monitoring, yield estimation, creation of virtual plantations, and dynamic Web-mapping. Stabilization of UAVs was discussed as one of the key factors for acquiring high quality aerial images. For this purpose, a case study was presented on stabilizing a fixed-wing Osprey drone crop surveillance that can be adapted as a remote sensing research platform. The objective was to design three controllers (including PID, LQR with full state feedback, and LQR plus observer) to improve the automatic flight mission. Dynamic equations were decoupled into lateral and longitudinal directions, where the longitudinal dynamics were modeled as a fourth order two-inputs-two-outputs system. State variables were defined as velocity, angle of attack, pitch rate, and pitch angle, all assumed to be available to the controller. A special case was considered in which only velocity and pitch rate were measurable. The control objective was to stabilize the system for a velocity step input of 10m/s. The performance of noise effects, model error, and complementary sensitivity was analyzed.
January 2024. Smart Farming, or Smart Agriculture, is a modern approach to farming that utilizes information and communication technologies (ICTs) to enhance productivity, optimize human labor, reduce cost, increase revenue, minimize the environmental impact, and enhance sustainability.
Smart farming technologies include sensors, software, connectivity, robotics, and data analytics.
The Internet of Things (IoT) is the driving force behind smart farming, integrating machines and sensors to make farming processes data-driven, automated, and constantly improving. Where Artificial Intelligence (AI) is used in smart farming to enhance harvest quality and accuracy in detecting crop disease and poor nutrition.
The IoT based smart farming cycle stages are observation, diagnostic, decision, and finally, action.
Smart farming applications include precision farming, vertical farming, robotic farming, and Agrivoltaics.
Smart farming stakeholders are suppliers, farmers, retailers, consumers, employees, communities, governments, NGOs, Telecom providers, and smart farming equipment manufacturers.
There are many advantages to using smart farming technologies, such as increased production and yield, waste minimization, accuracy and precision improvements, resource and energy conservation, revenue increase, cost reduction, sustainability enhancement, deficiency identification, and the competitive edge over farms not using smart technologies.
However, there are challenges (barriers) to smart farming adoption, such as poor connectivity and network coverage, difficulties for farmers to analyze large data volumes (big data) across multiple growing seasons, lack of knowledge in setting up complex IoT systems for farmers, tough farming conditions, as equipment must withstand extreme weather conditions, the high cost of cutting-edge equipment requiring costly updates, service, and maintenance.
There are environmental, social, and economic benefits to smart farming utilization, such as emission and pollution reduction, fertilizer and chemical use reduction, new job opportunities, and increased food security for local communities.
Policy wise, in 2019, the Food and Agriculture Organization (FAO) launched the Climate Smart Agriculture (CSA), a sustainable approach to transforming agricultural food systems, aiming to increase productivity, build resilience to climate change, and reduce emissions. CSA supports the Paris Agreement and the Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, technologies, applications, stakeholders, advantages, challenges; environmental, social, and economic benefits, United Nations (UN) policy, and global statistics of smart farming utilization. For more slideshows on environmental sustainability, please visit s2adesign.com
Benefits of Drone Software for Agriculture.pdfInventcolabs
Drone software has revolutionized agriculture by providing a range of benefits to farmers. One of its key advantages is the ability to enhance precision farming. Farmers can closely monitor their crops in real-time, enabling them to make data-driven decisions to improve crop health and yields.
What are some key benefits of using agriculture drone services?sisiyui
Precision Farming: Drones ready with superior sensors and cameras can offer particular and precise information about crop health, soil situations, and other elements. This permits farmers to identify troubles early, optimize inputs, and make informed selections to improve crop yields and quality.
Efficiency: Drones can cowl huge areas of farmland quick and efficaciously, lowering the time and hard work required for crop tracking, mapping, and scouting. This allows farmers to maximise their productivity and attention their efforts on different important duties.
Cost Savings: By presenting correct statistics on crop conditions, drones help farmers optimize using resources inclusive of water, fertilizers, and pesticides. This can result in huge cost financial savings by means of decreasing input waste and enhancing aid efficiency.
Discover the cutting-edge advancements and transformative technologies shaping the future of agriculture. This Presentation delves into the latest innovations revolutionizing farm practices, from precision agriculture to sustainable farming solutions. Explore how emerging technologies are reshaping the agricultural landscape and paving the way for increased efficiency, productivity, and sustainability in farming operations.
For those aspiring for a career in modern agriculture and seeking a degree, consider enrolling in the B.Sc in Agriculture program at Lingayas Vidyapeeth, a distinguished university college in Delhi NCR.
Learn More about Course : https://www.lingayasvidyapeeth.edu.in/school/school-of-agriculture/
Dronxt the Era evolution is formed with a vision of creating new evolution in Intel and super inhuman effectiveness. it aims to enhance growth of drone’s sector globally in manufacturing innovative technology in both aerial unmanned and under water drones.
Smart Management of Oil Palm Plantations with Autonomous UAV Imagery and Robu...Redmond R. Shamshiri
A Breakthrough in Oil Palm Precision Agriculture: Smart Management of Oil Palm Plantations with Autonomous UAV Imagery and Robust Machine Vision
Link to the publication
https://www.researchgate.net/publication/306348123_A_Breakthrough_in_Oil_Palm_Precision_Agriculture_Smart_Management_of_Oil_Palm_Plantations_with_Autonomous_UAV_Imagery_and_Robust_Machine_Vision
Get Multiple Agriculture Benefits with Security Drones for Farms.pdfTechugo
You can’t inspect any sector of an economy without seeing drones. Security drones for farms are often used for many tasks. These include aerial surveillance, crop monitoring, and land inspection. They can also map the area, inspect for damaged or rotting plants, and perform other tasks.
Get Multiple Agriculture Benefits with Security Drones for Farms.Techugo
Security drones for farms have become an integral part of large areas. Farmers can use the data from drones to make better planting plans and determine the best harvesting methods. Some reports claim that precision farming has the potential to increase yields by as much as 5 %, which is a substantial increase in a market with low-profit margins.
Want to learn more about drones? Visit the post now.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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.
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)
- How to streamline operations with automated policy checks on container images
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
2. Drones are ideal alternatives when it comes to
performing cost-intensive tasks in the food
industry e.g. provide visual overview of the
production site, carry out condition control,
perform leakage detection and cleaning validation
of equipment.
3. The Benefits of Using ZenaDrone 1000
in Fruit Production
Arable and fruit farm images
Data and monitoring Pesticide
fertilizer distribution Irrigation
fruit production Drone planting
adjustment
4. taking stock of tree top and cover volume;
tracking tree fitness and quality;
handling water, nutrients, pests and sickness in-season;
estimating fruit/nut manufacturing and yield; and,
growing advertising tools (motion pictures for advertising of the orchard, or
sale of timber and fruit).
The maximum promising methods the drones can be hired for the orchards and
tree nurseries are:
5. “Adoption and use of crop sensors in production
agriculture saves thousands of dollars every year in
many crops,” says Walsh. “