Farming involves entrepreneurship, setting milestones and preparing for the future. In addition, farming is continuously subject to change, due to growth, society, regulations, finance, subsidy, etc. Therefore solid advice is key for a sustainable, profitable and enjoyable future in farming. A variety of speakers from different disciplines will share interesting insights and knowledge to help you in supporting farmers to reach their chosen milestones.
Guidelines on the use of sensors to monitor animal health and productivity; a...Claudia Kamphuis
this presentation was given at the third Sund DairyCare conference in Zadar, Croatie. It discusses the need to have protocols to evaluate sensor technologies for their performance on-farm
Sensor technologies in the milking parlour, can they replace or complement hu...Claudia Kamphuis
Sensors in milking parlours can monitor cow health and productivity by replacing or complementing human senses. The document discusses various sensor technologies that have been introduced for monitoring udder health, milk composition, fertility, cow composition, and metabolic disorders. While sensors have benefits like improving health, welfare, and productivity, their adoption has been limited. Sensors may not always accurately monitor parameters of interest and there are tradeoffs between sensitivity and specificity. Additionally, sensor information is often not fully utilized on farms due to limitations in performance, lack of understanding, and insufficient learning support. In conclusion, sensors have potential but must be combined with management decisions to effectively monitor cow health and productivity.
The use of successfull inseminations to avoid the high costs and intensive method of progesterone measurements and to crank up the numbers to evaluate sensitivity of automated heat detection systems
Data mining to combine sensor information to improve oestrus detectionClaudia Kamphuis
The document discusses a project aiming to improve automated heat detection in dairy cows by combining sensor data. Researchers collected sensor data from two farms, including activity, rumination, feeding and yield data. They developed predictive models using this combined sensor data and found the models improved heat detection sensitivity over using single sensors. The models are now running near real-time on one farm and the researchers plan to fine-tune the models and scale up testing to 200 farms in the Netherlands to provide individual cows' insemination advice and timing.
activity meters are often used for automated oestrus detection. But is there more benefit from monitoring activity of cows? This presentation was part of the SUND Dairycare conference held in 2015, in Cordoba, Spain
Can we estimate the economic benefit of precision livestock technologiesClaudia Kamphuis
A presentation about a modelling tool to estimate the economic impact of implementing precision livestock technologies (PLF) on farm. Presented at the EAAP/EU-PLF Conference, 2014, in Copenhagen, Denmark
Sensors on dairy farms can detect changes in behavior and physiology associated with lameness in cows. Researchers analyzed sensor data from over 4,900 cows on 5 farms, including activity, milking order, milk yield, and weight, around the time cows were observed to be lame by farmers. While no single threshold distinguished lame from healthy cows, statistical models combining multiple sensor data predicted lameness with 75% accuracy, significantly better than using any single sensor. Further research is needed to identify the most predictive data and modeling techniques for detecting lameness using on-farm sensors.
Guidelines on the use of sensors to monitor animal health and productivity; a...Claudia Kamphuis
this presentation was given at the third Sund DairyCare conference in Zadar, Croatie. It discusses the need to have protocols to evaluate sensor technologies for their performance on-farm
Sensor technologies in the milking parlour, can they replace or complement hu...Claudia Kamphuis
Sensors in milking parlours can monitor cow health and productivity by replacing or complementing human senses. The document discusses various sensor technologies that have been introduced for monitoring udder health, milk composition, fertility, cow composition, and metabolic disorders. While sensors have benefits like improving health, welfare, and productivity, their adoption has been limited. Sensors may not always accurately monitor parameters of interest and there are tradeoffs between sensitivity and specificity. Additionally, sensor information is often not fully utilized on farms due to limitations in performance, lack of understanding, and insufficient learning support. In conclusion, sensors have potential but must be combined with management decisions to effectively monitor cow health and productivity.
The use of successfull inseminations to avoid the high costs and intensive method of progesterone measurements and to crank up the numbers to evaluate sensitivity of automated heat detection systems
Data mining to combine sensor information to improve oestrus detectionClaudia Kamphuis
The document discusses a project aiming to improve automated heat detection in dairy cows by combining sensor data. Researchers collected sensor data from two farms, including activity, rumination, feeding and yield data. They developed predictive models using this combined sensor data and found the models improved heat detection sensitivity over using single sensors. The models are now running near real-time on one farm and the researchers plan to fine-tune the models and scale up testing to 200 farms in the Netherlands to provide individual cows' insemination advice and timing.
activity meters are often used for automated oestrus detection. But is there more benefit from monitoring activity of cows? This presentation was part of the SUND Dairycare conference held in 2015, in Cordoba, Spain
Can we estimate the economic benefit of precision livestock technologiesClaudia Kamphuis
A presentation about a modelling tool to estimate the economic impact of implementing precision livestock technologies (PLF) on farm. Presented at the EAAP/EU-PLF Conference, 2014, in Copenhagen, Denmark
Sensors on dairy farms can detect changes in behavior and physiology associated with lameness in cows. Researchers analyzed sensor data from over 4,900 cows on 5 farms, including activity, milking order, milk yield, and weight, around the time cows were observed to be lame by farmers. While no single threshold distinguished lame from healthy cows, statistical models combining multiple sensor data predicted lameness with 75% accuracy, significantly better than using any single sensor. Further research is needed to identify the most predictive data and modeling techniques for detecting lameness using on-farm sensors.
Top Wearables Predictions for the Year Ahead and 2018: Year in ReviewValencell, Inc
Where is wearable technology heading and what can we expect from the wearables market? When it comes to biometric wearables and hearables, we've only scratched the surface of what's possible. In this webinar, Dr. Steven LeBoeuf takes a look back at trends and achievements in wearables in 2018 and weighs in on the outcomes of last year's predictions. We also highlight some unexpected changes you need to be ready for in 2019 and beyond.
The document describes CowLab, a research environment that utilizes sensors and technology to collect data on dairy cow behavior, health, physiology and production. CowLab allows comprehensive testing of innovations to improve animal welfare and productivity. Sensors can monitor activities like rumination, movement, location, resting, feeding and milking. This large dataset is transferred to a cloud service for analysis and mining to provide new insights. The goal is to use this technology to develop applications and products that can detect illness early and improve dairy cow welfare and production efficiency.
The document summarizes a remote patient monitoring system called the BodyGuardian Remote Monitoring System developed by Preventice. The system uses a small sensor attached to a patient's chest to collect biometrics like ECG, heart rate, respiration rate, and activity level. This data is transmitted via mobile phone technology to physicians, allowing for remote monitoring of cardiac patients as they go about their daily lives. The system received FDA 510(k) clearance and was developed in collaboration with Mayo Clinic to provide continual connection between patients and their care teams.
India faces challenges in effectively managing its large vaccination program, including improving coverage, expanding vaccines, and ensuring quality of vaccines and cold chain. The Electronic Vaccine Intelligence Network (eVIN) was implemented to address issues of poor record keeping, lack of real-time stock visibility and temperature monitoring. eVIN digitizes vaccine data, monitors temperature at storage points, and provides real-time visibility and analytics on vaccine availability. It has led to reduced stockouts, lower stockout durations, and cost savings. The system has expanded across multiple states in India and has the potential to be scaled globally to help other nations strengthen their vaccination programs.
ITSU has launched electronic Vaccine Intelligence Network (eVIN) in two districts of Uttar Pradesh I.e. Bareilly & Shahjahanpur districts in collaboration with Logistimo, which provides underlying technology.
via : http://itsu.org.in/
The Immunization Technical Support Unit and Ministry of Health and Family Welfare are working to improve vaccination programs in India. A study identified issues with vaccine logistics and management. This led to the development of an electronic Vaccine Intelligence Network (eVIN) system to provide real-time vaccine stock visibility and ensure vaccines are stored at recommended temperatures. A pilot of the eVIN system in two districts of Uttar Pradesh resulted in 90% reporting rates and a reduction in vaccine stockouts from 70-80% to less than 10%. The system has helped shorten the duration of stockouts from 4 days to 1 day.
Clinical Validation of Biometric Wearables and Applying Accurate Biometrics T...Valencell, Inc
The document discusses clinical validation of biometric wearables and applying accurate biometrics to provide compelling user experiences. It describes Valencell's approach to sensor validation through benchmarking, testing protocols, reference devices, and statistical analysis of accuracy. Several potential use cases are outlined such as quantifying activity intensity and volume, estimating stress levels, core temperature, and using biometrics for diet planning. The key takeaways are that accuracy is critical for user experience, validation requires planning and experience, and use cases should be simple and research-supported.
The document discusses using customer data and connected devices to provide highly personalized services tailored to individual customers, referred to as the "customer of one." It notes that collecting data from sources like wearables, smart home devices, social media, and health records can provide rich insights but people care about how their data is used. The document advocates for balancing data collection with building customer trust in how the data is handled to deliver improved personalized services without overstepping boundaries regarding data sharing and privacy.
I just gave a opening keynote on the North American Precision dairy farming conference. I showed some data that we recently collected on the use of sensor systems and the effects of these systems on farm performance.
This document discusses whether technology pays for itself in dairy farming. It provides an overview of the history of sensor use on dairy farms since the 1970s and their increasing adoption. Success factors for precision technology include system specifications that provide useful information, cost efficiency where benefits outweigh costs, and non-economic factors like risk tolerance. Studies show sensor systems for mastitis and estrus detection can increase productivity and profitability on farms, though their benefits are not always fully realized in practice due to limited use of sensor information and farmer attitudes. In conclusion, sensors have the potential to improve farms economically and enhance dairy cattle welfare but not all systems may be cost-effective.
New developments in the Dutch dairy sectorHenk Hogeveen
This was the opening presentation I gave at the 2014 Congress of the LIvestock Health and Production Group of the South African Veterinary Association. The organization asked me to give an overview of recent developments in the Dutch dairy sector. i have chose to pick three developments that are, in my opinion, interesting for veterinarians: 1. the ongoing automation of the sector, 2. the abolisment of the quota system (and a little background) and 3. the reduced use of antibiotics.
Effect of sensor systems on production, health, reproduction and economic res...Henk Hogeveen
This study investigated the effects of sensor systems on Dutch dairy farms in terms of milk production, udder health, reproduction, and economics. Data was collected from 512 farms with and without sensors from 2003-2013. Farms with automatic milking systems (AMS) or cow management systems (CMS) that used sensors for mastitis and estrus detection were compared with farms without sensors. The results showed lower somatic cell counts on CMS farms after sensor investment, but higher counts on AMS farms. Sensor use did not improve reproduction performance. Capital costs increased for AMS farms after investment, but no effects on labor costs were observed. In conclusion, sensor investment was associated with improved udder health on CMS farms but not other measured outcomes.
Precision dairy farming: how to make it work on the farmHenk Hogeveen
Today I will give a wrap-up presentation at the 2nd North American Precision Dairy Farming Conference, held in Rochester MN, and excelently organized by the University of Minnesota (under leadership or Marcia Endres).
In this presentation I provide the factors that are crucial for a proper pick-up of precision dairy farming applications and I link them to examples of succesful and less successful attempts.
This is the second presentation I was invited to give at the CAVI conference held in Galway, Ireland on October 12. it deals with precision dairy farming. A field that is coming up and growing in importance in modern dairy farming
Precision livestock farming cattle identification based on biometric data tar...Aboul Ella Hassanien
This document proposes using biometric data from cattle muzzle prints for precision livestock farming and cattle identification. It discusses challenges with current identification methods like RFID tags and outlines the benefits of a non-invasive biometric approach. The proposed system would collect muzzle print images, extract features, reduce dimensions with LDA, and use machine learning to classify and identify individual cattle. Experimental results showed the algorithm achieved high accuracy rates for identification when using different numbers of training images. The conclusion states precision livestock farming with biometric identification could increase farming efficiency and sustainability through individual animal monitoring and traceability in the food chain.
Precision livestock farming cattle identification based on biometric data tar...Aboul Ella Hassanien
This document proposes using biometric data from cattle muzzle prints for precision livestock farming and cattle identification. It discusses challenges with current identification methods like RFID tags and outlines the benefits of a non-invasive biometric approach. The proposed system would collect muzzle print images, extract features, reduce dimensions with LDA, and use machine learning to classify and identify individual cattle. Experimental results showed the algorithm achieved high accuracy rates for identification when using different numbers of training images. The conclusion states precision livestock farming with biometric identification could increase farming efficiency and sustainability through individual animal monitoring and traceability in the food chain.
Precision livestock farming cattle identification based on biometric data tar...Aboul Ella Hassanien
This document proposes using biometric data from cattle muzzle prints for precision livestock farming and cattle identification. It discusses challenges with current identification methods like RFID tags and outlines the benefits of a non-invasive biometric approach. The proposed system would collect muzzle print images, extract features, reduce dimensions with LDA, and use machine learning to classify and identify individual cattle. Experimental results showed the algorithm achieved high accuracy rates for identification when using different numbers of training images. The conclusion states precision livestock farming with biometric identification could increase farming efficiency and sustainability through individual animal monitoring and traceability in the food chain.
Current status and future challenges in mastitis researchHenk Hogeveen
A couple of years ago, we gathered with 9 individual mastitis experts, to freely discuss issues around mastitis.
One of the results was an overview paper on the current status and future challenges of mastitis research. It was presented at the 50th anniversary Annual Meeting of the NMC (www.nmconline.org). These are the slides of this presentation, given by Joe Hogan and myself.
These are the slides of a presentation I was invited to give at the Cattle Association of Veterinary Ireland (CAVI) at their annual conference, held in Galway, Ireland. The presentation deals with economics of production diseases.
Want it more automatic, accurate and faster? For milking robots (also called AMS, VMS, robotic milking) or for laboratories?
Try Ekomilk-AMP which includes Ekomilk Horizon, AMP and AMPI Sample Feeder:
http://animalmonitoring.com/
With Wifi, Bluetooth, barcode reader and RFID support, USB, ...
Youtube intro video:
https://www.youtube.com/watch?v=zE3_XrkW7rI
--------------------------------------------------
Ekomilk Scan+ for milk producers and veterinarians provides accurate and quick somatic cell count (SCC) per quarter, per cow and for the dairy herd at only around 0.04$/test. With somatic cell measurement and monitoring (thanks to the included software), udder inflammation “mastitis” of milk cows can be detected at an early stage and udder health can be improved. In turn, milk production and quality (also important for dairy processing like cheese and yoghurt) can be improved at the dairy farm. Ekomilk Scan is a cost-effective and easy-to-use digital cell meter (counter) which also helps reducing laboratory costs. It is important to avoid a too high cell level in the milk tank.
Automation techniques have been increasingly used in livestock production to reduce labor needs. This includes automatic identification of animals using RFID tags, GPS tracking, or retinal/muzzle scanning. Other automated processes discussed are feeding, milking, estrus detection through activity/hormone monitoring, birth detection, online herd management, and barn cleaning/environment control. The document concludes that while automation increases production and efficiency, it also increases costs, so is best for large commercial farms.
The Role of Technology in Quantifying Mastitis Related DecisionsJeffrey Bewley
This document discusses the role of technology in quantifying decisions related to mastitis detection and management. Precision monitoring technologies like electrical conductivity, milk color, temperature, spectroscopy, biosensors and inline somatic cell count can help detect mastitis earlier than visual observation alone. However, challenges remain around meeting sensitivity and specificity goals, calibration over time, and determining appropriate actions in response to alerts. Further research is needed to quantify the economic benefits of early mastitis detection and determine optimal treatment protocols.
Top Wearables Predictions for the Year Ahead and 2018: Year in ReviewValencell, Inc
Where is wearable technology heading and what can we expect from the wearables market? When it comes to biometric wearables and hearables, we've only scratched the surface of what's possible. In this webinar, Dr. Steven LeBoeuf takes a look back at trends and achievements in wearables in 2018 and weighs in on the outcomes of last year's predictions. We also highlight some unexpected changes you need to be ready for in 2019 and beyond.
The document describes CowLab, a research environment that utilizes sensors and technology to collect data on dairy cow behavior, health, physiology and production. CowLab allows comprehensive testing of innovations to improve animal welfare and productivity. Sensors can monitor activities like rumination, movement, location, resting, feeding and milking. This large dataset is transferred to a cloud service for analysis and mining to provide new insights. The goal is to use this technology to develop applications and products that can detect illness early and improve dairy cow welfare and production efficiency.
The document summarizes a remote patient monitoring system called the BodyGuardian Remote Monitoring System developed by Preventice. The system uses a small sensor attached to a patient's chest to collect biometrics like ECG, heart rate, respiration rate, and activity level. This data is transmitted via mobile phone technology to physicians, allowing for remote monitoring of cardiac patients as they go about their daily lives. The system received FDA 510(k) clearance and was developed in collaboration with Mayo Clinic to provide continual connection between patients and their care teams.
India faces challenges in effectively managing its large vaccination program, including improving coverage, expanding vaccines, and ensuring quality of vaccines and cold chain. The Electronic Vaccine Intelligence Network (eVIN) was implemented to address issues of poor record keeping, lack of real-time stock visibility and temperature monitoring. eVIN digitizes vaccine data, monitors temperature at storage points, and provides real-time visibility and analytics on vaccine availability. It has led to reduced stockouts, lower stockout durations, and cost savings. The system has expanded across multiple states in India and has the potential to be scaled globally to help other nations strengthen their vaccination programs.
ITSU has launched electronic Vaccine Intelligence Network (eVIN) in two districts of Uttar Pradesh I.e. Bareilly & Shahjahanpur districts in collaboration with Logistimo, which provides underlying technology.
via : http://itsu.org.in/
The Immunization Technical Support Unit and Ministry of Health and Family Welfare are working to improve vaccination programs in India. A study identified issues with vaccine logistics and management. This led to the development of an electronic Vaccine Intelligence Network (eVIN) system to provide real-time vaccine stock visibility and ensure vaccines are stored at recommended temperatures. A pilot of the eVIN system in two districts of Uttar Pradesh resulted in 90% reporting rates and a reduction in vaccine stockouts from 70-80% to less than 10%. The system has helped shorten the duration of stockouts from 4 days to 1 day.
Clinical Validation of Biometric Wearables and Applying Accurate Biometrics T...Valencell, Inc
The document discusses clinical validation of biometric wearables and applying accurate biometrics to provide compelling user experiences. It describes Valencell's approach to sensor validation through benchmarking, testing protocols, reference devices, and statistical analysis of accuracy. Several potential use cases are outlined such as quantifying activity intensity and volume, estimating stress levels, core temperature, and using biometrics for diet planning. The key takeaways are that accuracy is critical for user experience, validation requires planning and experience, and use cases should be simple and research-supported.
The document discusses using customer data and connected devices to provide highly personalized services tailored to individual customers, referred to as the "customer of one." It notes that collecting data from sources like wearables, smart home devices, social media, and health records can provide rich insights but people care about how their data is used. The document advocates for balancing data collection with building customer trust in how the data is handled to deliver improved personalized services without overstepping boundaries regarding data sharing and privacy.
I just gave a opening keynote on the North American Precision dairy farming conference. I showed some data that we recently collected on the use of sensor systems and the effects of these systems on farm performance.
This document discusses whether technology pays for itself in dairy farming. It provides an overview of the history of sensor use on dairy farms since the 1970s and their increasing adoption. Success factors for precision technology include system specifications that provide useful information, cost efficiency where benefits outweigh costs, and non-economic factors like risk tolerance. Studies show sensor systems for mastitis and estrus detection can increase productivity and profitability on farms, though their benefits are not always fully realized in practice due to limited use of sensor information and farmer attitudes. In conclusion, sensors have the potential to improve farms economically and enhance dairy cattle welfare but not all systems may be cost-effective.
New developments in the Dutch dairy sectorHenk Hogeveen
This was the opening presentation I gave at the 2014 Congress of the LIvestock Health and Production Group of the South African Veterinary Association. The organization asked me to give an overview of recent developments in the Dutch dairy sector. i have chose to pick three developments that are, in my opinion, interesting for veterinarians: 1. the ongoing automation of the sector, 2. the abolisment of the quota system (and a little background) and 3. the reduced use of antibiotics.
Effect of sensor systems on production, health, reproduction and economic res...Henk Hogeveen
This study investigated the effects of sensor systems on Dutch dairy farms in terms of milk production, udder health, reproduction, and economics. Data was collected from 512 farms with and without sensors from 2003-2013. Farms with automatic milking systems (AMS) or cow management systems (CMS) that used sensors for mastitis and estrus detection were compared with farms without sensors. The results showed lower somatic cell counts on CMS farms after sensor investment, but higher counts on AMS farms. Sensor use did not improve reproduction performance. Capital costs increased for AMS farms after investment, but no effects on labor costs were observed. In conclusion, sensor investment was associated with improved udder health on CMS farms but not other measured outcomes.
Precision dairy farming: how to make it work on the farmHenk Hogeveen
Today I will give a wrap-up presentation at the 2nd North American Precision Dairy Farming Conference, held in Rochester MN, and excelently organized by the University of Minnesota (under leadership or Marcia Endres).
In this presentation I provide the factors that are crucial for a proper pick-up of precision dairy farming applications and I link them to examples of succesful and less successful attempts.
This is the second presentation I was invited to give at the CAVI conference held in Galway, Ireland on October 12. it deals with precision dairy farming. A field that is coming up and growing in importance in modern dairy farming
Precision livestock farming cattle identification based on biometric data tar...Aboul Ella Hassanien
This document proposes using biometric data from cattle muzzle prints for precision livestock farming and cattle identification. It discusses challenges with current identification methods like RFID tags and outlines the benefits of a non-invasive biometric approach. The proposed system would collect muzzle print images, extract features, reduce dimensions with LDA, and use machine learning to classify and identify individual cattle. Experimental results showed the algorithm achieved high accuracy rates for identification when using different numbers of training images. The conclusion states precision livestock farming with biometric identification could increase farming efficiency and sustainability through individual animal monitoring and traceability in the food chain.
Precision livestock farming cattle identification based on biometric data tar...Aboul Ella Hassanien
This document proposes using biometric data from cattle muzzle prints for precision livestock farming and cattle identification. It discusses challenges with current identification methods like RFID tags and outlines the benefits of a non-invasive biometric approach. The proposed system would collect muzzle print images, extract features, reduce dimensions with LDA, and use machine learning to classify and identify individual cattle. Experimental results showed the algorithm achieved high accuracy rates for identification when using different numbers of training images. The conclusion states precision livestock farming with biometric identification could increase farming efficiency and sustainability through individual animal monitoring and traceability in the food chain.
Precision livestock farming cattle identification based on biometric data tar...Aboul Ella Hassanien
This document proposes using biometric data from cattle muzzle prints for precision livestock farming and cattle identification. It discusses challenges with current identification methods like RFID tags and outlines the benefits of a non-invasive biometric approach. The proposed system would collect muzzle print images, extract features, reduce dimensions with LDA, and use machine learning to classify and identify individual cattle. Experimental results showed the algorithm achieved high accuracy rates for identification when using different numbers of training images. The conclusion states precision livestock farming with biometric identification could increase farming efficiency and sustainability through individual animal monitoring and traceability in the food chain.
Current status and future challenges in mastitis researchHenk Hogeveen
A couple of years ago, we gathered with 9 individual mastitis experts, to freely discuss issues around mastitis.
One of the results was an overview paper on the current status and future challenges of mastitis research. It was presented at the 50th anniversary Annual Meeting of the NMC (www.nmconline.org). These are the slides of this presentation, given by Joe Hogan and myself.
These are the slides of a presentation I was invited to give at the Cattle Association of Veterinary Ireland (CAVI) at their annual conference, held in Galway, Ireland. The presentation deals with economics of production diseases.
Want it more automatic, accurate and faster? For milking robots (also called AMS, VMS, robotic milking) or for laboratories?
Try Ekomilk-AMP which includes Ekomilk Horizon, AMP and AMPI Sample Feeder:
http://animalmonitoring.com/
With Wifi, Bluetooth, barcode reader and RFID support, USB, ...
Youtube intro video:
https://www.youtube.com/watch?v=zE3_XrkW7rI
--------------------------------------------------
Ekomilk Scan+ for milk producers and veterinarians provides accurate and quick somatic cell count (SCC) per quarter, per cow and for the dairy herd at only around 0.04$/test. With somatic cell measurement and monitoring (thanks to the included software), udder inflammation “mastitis” of milk cows can be detected at an early stage and udder health can be improved. In turn, milk production and quality (also important for dairy processing like cheese and yoghurt) can be improved at the dairy farm. Ekomilk Scan is a cost-effective and easy-to-use digital cell meter (counter) which also helps reducing laboratory costs. It is important to avoid a too high cell level in the milk tank.
Automation techniques have been increasingly used in livestock production to reduce labor needs. This includes automatic identification of animals using RFID tags, GPS tracking, or retinal/muzzle scanning. Other automated processes discussed are feeding, milking, estrus detection through activity/hormone monitoring, birth detection, online herd management, and barn cleaning/environment control. The document concludes that while automation increases production and efficiency, it also increases costs, so is best for large commercial farms.
The Role of Technology in Quantifying Mastitis Related DecisionsJeffrey Bewley
This document discusses the role of technology in quantifying decisions related to mastitis detection and management. Precision monitoring technologies like electrical conductivity, milk color, temperature, spectroscopy, biosensors and inline somatic cell count can help detect mastitis earlier than visual observation alone. However, challenges remain around meeting sensitivity and specificity goals, calibration over time, and determining appropriate actions in response to alerts. Further research is needed to quantify the economic benefits of early mastitis detection and determine optimal treatment protocols.
Precision Dairy Monitoring Opportunities and ChallengesJeffrey Bewley
This presentation provides an introduction to precision dairy monitoring. The wide range of opportunities for future dairy management are discussed. Then, the challenges of turning these dreams into reality are covered.
Tiensin- Current Status of TADs in ThailandPerez Eric
This document discusses transboundary animal diseases and capacity building of veterinary services. It begins by outlining Thailand's large and growing livestock exports industry and surveillance programs for diseases like HPAI. It then examines challenges like small-scale backyard farming and improving biosecurity. The document advocates for a multisectoral "One Health" approach between animal and public health. It evaluates gaps identified in veterinary services and progress made in addressing them. Finally, it promotes collaboration and sharing information between sectors through initiatives like joint rapid response teams.
Economics of animal health: A little theory and some applicationsHenk Hogeveen
At the moment I am in Kenya, at a site visit of Dr Esther Wafula, who is doing a PhD with us in Utrecht. Today I gave a presentation at KARI, the Kenyan Agricultural Research Institute. This is a huge institute, consisting of more than 3000 people. People responsible for animal health work both from KARI as well as the University of Nairobi were present.
The presentation has quite some overlap with the one I gave last year in Kupang. However, I added some new figures about the complexity of management as well as the first research results of Dr Wafula: costs of trypanosomosis.
20131129 FFF El proyecto Foodmanufuture_Christophe CotillonFIAB
This document summarizes a workshop on applying microsystems in the food industry. It discusses how microsystems can help address challenges in food safety, quality, authenticity and resource use. The FoodMicroSystems project developed 4 roadmaps covering technological needs, trends, and the level of integration/functionality for various sectors like dairy, chemicals detection and bio-chemical sensing. While microsystems offer opportunities, industry constraints, consumer perceptions, and ethical issues must be considered to move technologies from the lab to in-line measurements and ensure adoption. Continued funding, networking and roadmapping are needed to realize opportunities.
This document summarizes a presentation on using genetics to prevent mastitis in dairy cows. It discusses:
- 20 years of genetic selection in France to improve udder health, including the inclusion of somatic cell count and clinical mastitis in breeding indexes.
- Evidence that somatic cell count and clinical mastitis estimated breeding values are effective, with cows having better values showing lower SCC and mastitis rates.
- The benefits of genomics, which allow more precise selection at a younger age.
- The estimated economic gains per cow from improved somatic cell count and clinical mastitis breeding values.
- The need for good herd management practices in addition to genetics to minimize mastitis.
Danish farmers have significantly invested in automatic milking systems (AMS) in recent years, with 22% of herds and 27% of cows using AMS as of late 2009. Data from AMS provides a large data bank that can provide insights for genetic improvement goals. Denmark will analyze AMS data starting in 2010 to improve genetic evaluations for traits like milking speed and develop breeding values for cow suitability to AMS. This will help increase genetic gains for functional traits like health and fertility. A pilot project has collected AMS data, which will systematically be collected from April 2010 onwards to help breeding organizations.
Similar to Cows in the cloud, Down to earth, 8-9 September 2015 (20)
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
2. What can you expect
Claudia Kamphuis
Sensor technologies in dairy
Theory and Economic potential vs. reality
Performance of sensor technologies
Working with sensor technologies
Current work
4. 2004: Graduated, Preventive Animal Heath
and Welfare, Wageningen University
2006: PhD, Utrecht University
2010: Defended successfully
PhD, Utrecht University
2011: Scientist role at DairyNZ, New Zealand
2013: Post-Doc,
Business Economics
Wageningen University
5. What can you expect
Claudia Kamphuis
Sensor technologies in dairy
8. 6 main brands
1992 first farm in NL (Bottema, 1992)
>10,000 farms globally 2013 (Rodenburg, 2013)
3,615 (19.5%) Dutch farms (Stichting KOM, 2015)
Forced to replace human senses
Boosted by development of automatic milking systems in 1990s
9. And further pushed by increased animal welfare concerns
Increasing herds
Government
Society
10. Cheap technology
Low in maintenance costs
Udder or quarter level
Most used to detect abnormal milk or mastitis
Limited performance for mastitis detection
(Rutten et al., 2013)
Electrical Conductivity
handheldIn-line
11. Other (more sophisticated and expensive) sensor technologies
were introduced to monitor cow health and productivity
Udder Health
- Electrical Conductivity
- Milk yield
- Somatic Cell Count
- (Milk) Temperature
- Colour
12. Other (more sophisticated and expensive) sensor technologies
were introduced to monitor cow health and productivity
Udder Health
- Electrical Conductivity
- Milk yield
- Somatic Cell Count
- (Milk) Temperature
- Colour
Milk Composition
- Milk yield
- Fat and protein content
- Lactose content
- Somatic cell count
13. Other (more sophisticated and expensive) sensor technologies
were introduced to monitor cow health and productivity
Fertility
- Progesterone
- Activity
- Rumination
Cow ‘Composition’
- Weight
- Body Condition Score
14. Other (more sophisticated and expensive) sensor technologies
were introduced to monitor cow health and productivity
Metabolic disorders
- Activity
- Rumination
- Milk yield
- SCC
- pH
Cow Mobility
- Weight
- Activity
- Rumination
- Milk yield
16. With A LOT of benefits
Improve health, welfare
Increase productivity
Increase efficiency
Improve product quality
Objective monitoring
Improve social lifestyle
17. Use of sensor technologies in the Netherlands
(Steeneveld and Hogeveen, 2015)
Survey study
1,672 farmers approached via email
512 farmers replied (31%)
202 farmers (41%) replied to have sensor technologies
17
18. When did CMS farmers invest in sensors (n = 81)
(Steeneveld and Hogeveen, 2015)
0
5
10
15
20
25
30
35
40
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Mastitis Rumination Estrus
Year
Farmers(n)
19. When did AMS farmers invest in sensors (n = 121)
(Steeneveld and Hogeveen, 2015)
0
5
10
15
20
25
30
35
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Mastitis Rumination Estrus
Year
Farmers(n)
20. Use of sensor technologies (%) in the Netherlands
(Steeneveld and Hogeveen, 2015)
20
Sensor AMS
(n = 121)
CMS
(n = 81)
Colour 60 1
Electrical Conductivity 93 35
Milk temperature 50 6
Weighing platform 27 5
Fat and protein 20 0
Somatic cell count 17 1
Activity meters/pedometers dairy cows 41 70
Activity meters/pedometers young stock 12 28
Temperature 6 14
Rumination 9 12
Lactate dehydrogenase (LDH) 2 1
Progesterone 2 1
21. What can you expect
Claudia Kamphuis
Sensor technologies in dairy
Theory and Economic potential vs. reality
22. Reasons why AMS farmers invested in sensors
(Steeneveld and Hogeveen, 2015)
22
Investment reason EC
(n = 112)
Rumination
(n = 11)
Activity
(n = 50)
Reduce labor 1 9 6
Improve health /
reproduction
14 55 72
Insight in health 14 82 42
Not a conscious decision 97 54 48
Improve farm profitability 13 45 48
23. Automated mastitis detection: theory
Not a conscious decision (we have to?)
Managing bulk milk SCC levels
Mastitis detection
Dry-cow therapy decisions
23
32. General culling
Calving
Ovulation
Heat detection
P(1st ovulation)
P(heat)
P(heat detected)
P(culling)
P(culling)
P(culling)
Simulated cow
Parity, production level
Insemination
after voluntary waiting period
Culling due to fertility issues
- Max 6 inseminations
- Not pregnant in wk 35
Replacement heifer
Cow pregnant
P(pregnant)
P(early embryonic death)
Next parity
∆ Milk yield
∆ Number of inseminations
∆ Number of calves produced
∆ Feed intake
∆ Number of culled cows
∆ Number of false alerts from PLF
Output
cow place /year
Milk price
Labour costs
Cost for AI
Costs/revenues of calves
Costs feed
Costs for culling
Costs of false alerts PLF (labour or AI)
x €
At farm level
Probabilities are
adjusted for each
simulated week
Costs of PLF technology: investment, maintenance,
depreciation, replacement of faulty sensors
Cow Model
SN 50%
SP 100%
SN 80%
SP 95%
€108/cow
€3600/herd
10years
Checking each
alert visually
33. Automated oestrus detection: economics
Cash flow: 2,287 € / year
Cost-Benefit ratio: € 1.23
Discounted payback period: 8 years
Investment pays off
(Rutten et al., 2014)
SN 80%;SP 95%
€ 108/cow
€ 3600/herd
10years
Checking each alert visually
34. Automated oestrus detection: reality
(Steeneveld et al., 2015)
Farms AMS farms CMS farms
No sensors Before
sensors
After
sensors
Before
sensors
After
sensors
Number of cows
% growth in size
Milk production
(kg/cow/year)
85
3.5
8,342
86
2.8
8,473
102
5.3
8,632
104
4.0
8,245
131
6.1
8,177
35. Automated oestrus detection: reality
(Steeneveld et al., 2015)
70
80
90
100
110
120
130
No sensor system AMS farms before
investment
AMS farms after
investment
CMS farms before
investment
CMS farms after
investment
Daystofirstservice
36. Investment in sensor technologies: reality
(€/100 kg milk)
(Steeneveld et al., unpublished)
No sensor AMS CMS
Before After Before After
Capital costs 10.38 9.72a 13.97b 11.08c 11.35c
Labour costs 12.38 11.69a 11.30a 11.30c 10.43c
Variable costs 1945 18.66a 19.80a 18.28c 19.24c
Revenues 46.28 43.93a 46.38b 45.77c 47.18c
Profit 4.07 3.86a 1.31b 5.11c 6.16c
37. So, just a mid re-cap
1,672 farms approached
512 farmers replied
202 indicated to have sensors
(Steeneveld and Hogeveen, 2015)
Economic theory is not matching
reality
12%
38. What can you expect
Claudia Kamphuis
Sensor technologies in dairy
Theory and Economic potential vs. reality
Performance of sensor technologies
41. It’s all about monitoring parameters associated with events of
interest, but sensors
May not accurately or precisely monitor these parameters
42. It’s all about monitoring parameters associated with events of
interest, but sensors
May not accurately monitor these parameters
Monitor a proxy for these parameters
viscosity measurements;
Whyte et al., 2004
43. It’s all about monitoring parameters associated with events of
interest, but sensors
May not accurately monitor these parameters
Monitor a proxy for these parameters
Monitor parameters that are not unique for the event
44. It’s all about monitoring parameters associated with events of
interest, but sensors
May not accurately monitor these parameters
Monitor a proxy for these parameters
Monitor parameters that are not unique for the event
Monitor one single aspect of a complex event
45. Always a trade-of between
Sensitivity
How many events do you
detect (true positive alerts)
and how many do you
miss (false negative alerts)
Specificity
How many healthy cows do
not receive an alert
(true negative alert)
and how many do receive
an alert falsely
(false positive alert)
46. Trade-off dependants
Event being monitored
Dairying system in which sensor is implemented
Economic consequences of decision-making based on
inaccurate sensor information
Farmer’s preference (risk attitude)
47. Example automated mastitis detection
High SN
no additional labour for
checking alerts
Checking a few false
positives is always better
than checking 2,000 cows
High SP
nuisance of fetching cows
and checking alerts
Willing to accept mildly
infected cows remain
undetected
(Mollenhorst et al., 2012;
Hogeveen and Steeneveld, 2013)
48. Example of automated oestrus detection
Field evaluation of SCR systems in New Zealand:
75% SN and 99%SP
Visual observation using tail paint: 91% SN and 99.8% SP
48
49. Example automated oestrus detection with 75% sensitivity
Year-round calving might
be OK
But what about seasonal
calving?
6wks time to get all cows
pregnant
Economic losses in case
oestrus events are missed
51. Farmers’ attitude
Eager to understand and
learn the system
Not having the
time or skills
Innovators/ambassadors
Convenience seekers
/business optimisers
52. Sensors are not about ‘one size fits all’
Waiting for ‘improved’ systems
(Borchers and Bewley, 2015; Steeneveld and Hogeveen, 2015; Russell and Bewley, 2013)
52
53. What can you expect
Claudia Kamphuis
Sensor technologies in dairy
Theory and Economic potential vs. reality
Performance of sensor technologies
Working with sensor technologies
54. Reasons why AMS farmers invested in sensors
(Steeneveld and Hogeveen, 2015)
54
Investment reason EC
(n = 112)
Rumination
(n = 11)
Activity
(n = 50)
Reduce labor 1 9 6
Improve health /
reproduction
14 55 72
Insight in health 14 82 42
Not a conscious decision 97 54 48
Improve farm profitability 13 45 48
55. Use of sensor information is limited
Sensor AMS (%) CMS (%)
Never/
sometimes
Daily Never/
sometimes
Daily
Colour (n=72 / 1) 49 32 100 0
Fat and protein sensor (n = 24) 63 17
Electrical conductivity (n = 112 / 28) 5 77 25 21
Weighing platform (n = 33 / 4) 39 21 25 50
Activity meters/pedometers dairy
cows (n = 50 / 57)
6 74 6 74
56. Use of sensor information is limited
(Hogeveen et al., 2013)
5% of generated mastitis alerts are visually checked
57. Use of sensor information is limited
(Hogeveen et al., 2013)
5% of generated mastitis alert lists are visually checked
Reasons not to check alerts included:
No deviation in yield (19%)No flakes on filter (28%) Repeatedly on list (10%)
Too busy (10%)Malfunctioning (4%) No EC increase (5%)
58. Use of sensor information is limited
(Hogeveen et al., 2013)
5% of generated mastitis alert lists are visually checked
Reasons not to check alerts
Consequence: 75% of
detected mastitis is not
‘seen’
59. 190
195
200
205
210
215
220
225
230
235
240
No sensor system AMS farms before
investment
AMS farms after
investment
CMS farms before
investment
CMS farms after
investment
Somaticcellcount(x1,000cells/ml)Automated mastitis detection: reality
(Steeneveld et al., 2015)
60. Use of sensor information is limited
22% of farm owners indicated that expectations did not
match performance reality
24% of farm owners indicated
that learning support was not
as expected
(Eastwood et al., 2015)
61. Too much information without knowing
what to do with it (Russell and Bewley, 2013)
61
62. What can you expect
Claudia Kamphuis
Sensor technologies in dairy
Theory and Economic potential vs. reality
Performance of sensor technologies
Working with sensor technologies
Current work
63. 63
The cow central
Farmer rules
Real time models of
different parties
Sensors of
different
companies
Other data
sources
InfoBroker: Open
platform for sensor
data
Work
instructions
What’s currently being done?
64. What’s currently being done?
Develop a blueprint for
successful PLF technologies
Social impact
Economic viability
65. What’s currently being done?
Tools to estimate economic and social value
Value Creation Tool potential economic benefits of
sensor technology in different dairying situations
Break-even Tool how much change of a parameter is
required to break-even with the investment
Adaptive Conjoint Analysis assessing utilities of
costumers for economic or social aspects
66. What can you expect
What I would like you to remember
67. Sensors are exciting, high-tech and have potential
But we need their information combined with
To complement management decisions on animal health
68. Thank you for your attention
www.slideshare.net/claudiakamphuis ckamphuis