we can tell the sex of an unhatched egg as well as predict its future performance as a broiler. our new method eliminates the need for cendelling to find out if the egg is fertile,
Industry executives need a 'real time real data' tool for: monitor standard production , food safety traceability, worker performance and smart alarms in real time. This can be found in new expensive barns yet to have this on an old farming operation with low tech barns like in 80% of the market, is almost impossible without extensive expenses and complex installations of several control boxes.
Farmers and field professionals on the other hand resist any monitoring technology, as it provides a real picture of what is really going on in the barn at any moment and the real cause of many of the performance gap's – it will reflect bad on any mistake they daily make and show any alarm miss treated. Executives can look back in time on reports looking and analyzing data as well as real time managing from office HQ to farm and animals.
Reports today are manual and late, as is managing of the growing environment – farmer can adjust files and business owner can only trust his farmers to perform by protocol – this is not happening as to human character and farm logistics.
No plan today - connecting farming sites to fast free internet for live data to barns.
80% of the growing time is going with no problems using todays standard off the shelf products - Problems caused at 20% of the time are responsible for 80% of the economic damage to the industry that is in old barns.
smart management of Chicken farms agriculture can support poultry growing management and insure performance.
Our system can today go into: broiler \ egg \ turkey \ mother flock farms and needs only 1 SIM for a full farm with many barns – sending only SMS from this SIM to a local number.
A 1 box system to manage and control the:
growing environment by showing temp to farmer and manager, manage feeding and drinking quality via sensors, as well as animal welfare- via feeding patterns for every minute and workers performance as well as electric power down to barn.
What will the client get in the MR Box?
Controlled environment – Temp&humidity- in &out of the barn to better ventilate by men operating the fan as requested . On cloud and in barn.
Feed weight –no load cells needed – via smart motor time – very accurate – on cloud and in barn.
Water drinking monitor – amount and water quality sensor. On cloud and in barn.
Intelligent feeding – will take FCR down in compere to any other feeding controller – in barn.
Informative alarms will allow farmer and manager to have real time data on web and SMS – to avoid performance gap's done by late reaction to malfunction of one of the growing parameters on site.
Welfare monitoring – allowing close watch over flocks feeding patterns that can alarm of a sick flock – allowing vaccination on time to save the production value or early marketing to save FCR. On cloud UI.
Worker monitoring – the workers environment becomes visible and time to fix an alarm is measurable. On clo
this presentation was prepared for a minisymposium on the occasion of PhD defence of Niels Rutten June 14 2017 at Wageningen University, with the thesis entitled “The utility of sensor technology to support reproductive management on dairy farms”. The public defence of his thesis was a good reason to share knowledge about current sensor research in the dairy farming industry
Jeff Bradshaw is the founder of Adaptris and Group CTO of Adaptris/F4F/DBT within Reed Business Information. He has spent his career integrating data wherever it resides and in-flight across a number of industries including Agriculture, Airlines, Telecommunications, Healthcare, Government and Finance.
Jeff has worked with and contributed to a number of international standards bodies and continues to work with large enterprises to help them extract value from their data silos and share data seamlessly with their trading partners to achieve business benefit. For the last few years Jeff has been focusing on Big Data and how to gather that across a wide range of sources to help gain insight into the agri-food supply chain.
Abstract Summary:
Precision agriculture – Predicting outcomes for farmers using machine learning to help feed the world:
Agricultural data is vast, often unstructured and includes many challenges when working with legacy farm systems on premise in rural areas. For instance, traditional farm equipment such as tractors, sprayers, and combines aren’t often from the same vendor, and it’s complex moving data between them. This is further complicated with the vast array of other systems used by our farmers. Furthermore, the number of sensors in agriculture is astonishing, whether it is sensors that measure the gait of the cow walking into the dairy parlor, or chickens that are pecking. All this data needs to turn into usable information on a global scale to improve the yields farmers get and provide greater visibility into what’s going on both in and out of the farm. In this session, a case study will be shared on how data was collected, normalized and analyzed leveraging the open source HPCC Systems platform from remote Farm Management Systems (used by farmers to manage their farms), and when merged with weather data, soil data and actual machinery data, the analyzed predictions is used to feed Agronomists and Crop Protection/Seed Manufacturers to get recommendations back. The goal is to deliver a precision agriculture solution, helping farmers increase their yield, which then helps feed the growing population of the world.
Industry executives need a 'real time real data' tool for: monitor standard production , food safety traceability, worker performance and smart alarms in real time. This can be found in new expensive barns yet to have this on an old farming operation with low tech barns like in 80% of the market, is almost impossible without extensive expenses and complex installations of several control boxes.
Farmers and field professionals on the other hand resist any monitoring technology, as it provides a real picture of what is really going on in the barn at any moment and the real cause of many of the performance gap's – it will reflect bad on any mistake they daily make and show any alarm miss treated. Executives can look back in time on reports looking and analyzing data as well as real time managing from office HQ to farm and animals.
Reports today are manual and late, as is managing of the growing environment – farmer can adjust files and business owner can only trust his farmers to perform by protocol – this is not happening as to human character and farm logistics.
No plan today - connecting farming sites to fast free internet for live data to barns.
80% of the growing time is going with no problems using todays standard off the shelf products - Problems caused at 20% of the time are responsible for 80% of the economic damage to the industry that is in old barns.
smart management of Chicken farms agriculture can support poultry growing management and insure performance.
Our system can today go into: broiler \ egg \ turkey \ mother flock farms and needs only 1 SIM for a full farm with many barns – sending only SMS from this SIM to a local number.
A 1 box system to manage and control the:
growing environment by showing temp to farmer and manager, manage feeding and drinking quality via sensors, as well as animal welfare- via feeding patterns for every minute and workers performance as well as electric power down to barn.
What will the client get in the MR Box?
Controlled environment – Temp&humidity- in &out of the barn to better ventilate by men operating the fan as requested . On cloud and in barn.
Feed weight –no load cells needed – via smart motor time – very accurate – on cloud and in barn.
Water drinking monitor – amount and water quality sensor. On cloud and in barn.
Intelligent feeding – will take FCR down in compere to any other feeding controller – in barn.
Informative alarms will allow farmer and manager to have real time data on web and SMS – to avoid performance gap's done by late reaction to malfunction of one of the growing parameters on site.
Welfare monitoring – allowing close watch over flocks feeding patterns that can alarm of a sick flock – allowing vaccination on time to save the production value or early marketing to save FCR. On cloud UI.
Worker monitoring – the workers environment becomes visible and time to fix an alarm is measurable. On clo
this presentation was prepared for a minisymposium on the occasion of PhD defence of Niels Rutten June 14 2017 at Wageningen University, with the thesis entitled “The utility of sensor technology to support reproductive management on dairy farms”. The public defence of his thesis was a good reason to share knowledge about current sensor research in the dairy farming industry
Jeff Bradshaw is the founder of Adaptris and Group CTO of Adaptris/F4F/DBT within Reed Business Information. He has spent his career integrating data wherever it resides and in-flight across a number of industries including Agriculture, Airlines, Telecommunications, Healthcare, Government and Finance.
Jeff has worked with and contributed to a number of international standards bodies and continues to work with large enterprises to help them extract value from their data silos and share data seamlessly with their trading partners to achieve business benefit. For the last few years Jeff has been focusing on Big Data and how to gather that across a wide range of sources to help gain insight into the agri-food supply chain.
Abstract Summary:
Precision agriculture – Predicting outcomes for farmers using machine learning to help feed the world:
Agricultural data is vast, often unstructured and includes many challenges when working with legacy farm systems on premise in rural areas. For instance, traditional farm equipment such as tractors, sprayers, and combines aren’t often from the same vendor, and it’s complex moving data between them. This is further complicated with the vast array of other systems used by our farmers. Furthermore, the number of sensors in agriculture is astonishing, whether it is sensors that measure the gait of the cow walking into the dairy parlor, or chickens that are pecking. All this data needs to turn into usable information on a global scale to improve the yields farmers get and provide greater visibility into what’s going on both in and out of the farm. In this session, a case study will be shared on how data was collected, normalized and analyzed leveraging the open source HPCC Systems platform from remote Farm Management Systems (used by farmers to manage their farms), and when merged with weather data, soil data and actual machinery data, the analyzed predictions is used to feed Agronomists and Crop Protection/Seed Manufacturers to get recommendations back. The goal is to deliver a precision agriculture solution, helping farmers increase their yield, which then helps feed the growing population of the world.
Livestock, human welfare, and sustainability: The challenge of harmonizing fa...ILRI
Presented by James Hammond, Léo Gorman, Simon Fraval, Mark van Wijk at the 9th Multi-Stakeholder Partnership Meeting of the Global Agenda for Sustainable Livestock, Manhattan, Kansas, 9-13 September 2019
Dr. Jeff Ondrak - Trichomoniasis Overview – The Disease, History, & ManagementJohn Blue
Trichomoniasis Overview – The Disease, History, & Management - Dr. Jeff Ondrak, University of Nebraska, Lincoln, from the 2014 NIAA Annual Conference titled 'The Precautionary Principle: How Agriculture Will Thrive', March 31 - April 2, 2014, Omaha, NE, USA.
More presentations at http://www.trufflemedia.com/agmedia/conference/2014_niaa_how_animal_agriculture_will_thrive
Presented by Mark van Wijk, Romain Frelat, Randall Ritzema and Sabine Douxchamps at the ILRI@40 Livestock and Environment workshop, Addis Ababa, 7 November 2014
SCR Heat detection
Uniquely combines rumination, movement and movement intensity measurement, recognizing behavior patterns.
SCR activity score is much less prone to walking and eating behavior, therefore suitable also for grazing herds (as proven in NZ and Ireland)
Real-time heat detection reports for optimized insemination timing.
Rumination application: Nutrition
Rumination time: proportional to the amount of long fiber the cow has eaten (eNDF, or “Scratch Factor”). About 140 min rumination to 1 Kg long fiber.
Daily rumination time less than 400 min indicate a major risk factor for rumen acidosis.
Rumen acidosis seriously impairs cow’s health and welfare and farmer income.
On December 15th, 2015, Dr. Alison Van Eenennaam presented this information for DAIReXNET. To view the full recording, visit our archived webinar page at http://articles.extension.org/pages/15830/archived-dairy-cattle-webinars
Improving breeding&reproductive performance of dairy animalsArab Khan
I gave presentation on this topic. Actually, this topic was difficult to search and to concise but have lot of knowledge that's why I selected it for my presentation.
Dr. Mark Allen - Present & Future: Bovine Genetic & Reproductive TechnologiesJohn Blue
Present & Future: Bovine Genetic & Reproductive Technologies - Dr. Mark Allan, Director Marketing and Genomics, Trans Ova Genetics, from the 2014 NIAA Annual Conference titled 'The Precautionary Principle: How Agriculture Will Thrive', March 31 - April 2, 2014, Omaha, NE, USA.
More presentations at http://www.trufflemedia.com/agmedia/conference/2014_niaa_how_animal_agriculture_will_thrive
A platform for testing, delivering, and continuously improving tropically-ada...ILRI
Presented by Tadelle Dessie at the Technology for African Agricultural Transformation (TAAT) Small Ruminants Value Chain Inception Meeting, ILRI, Addis Ababa, 22 June 2018
Livestock, human welfare, and sustainability: The challenge of harmonizing fa...ILRI
Presented by James Hammond, Léo Gorman, Simon Fraval, Mark van Wijk at the 9th Multi-Stakeholder Partnership Meeting of the Global Agenda for Sustainable Livestock, Manhattan, Kansas, 9-13 September 2019
Dr. Jeff Ondrak - Trichomoniasis Overview – The Disease, History, & ManagementJohn Blue
Trichomoniasis Overview – The Disease, History, & Management - Dr. Jeff Ondrak, University of Nebraska, Lincoln, from the 2014 NIAA Annual Conference titled 'The Precautionary Principle: How Agriculture Will Thrive', March 31 - April 2, 2014, Omaha, NE, USA.
More presentations at http://www.trufflemedia.com/agmedia/conference/2014_niaa_how_animal_agriculture_will_thrive
Presented by Mark van Wijk, Romain Frelat, Randall Ritzema and Sabine Douxchamps at the ILRI@40 Livestock and Environment workshop, Addis Ababa, 7 November 2014
SCR Heat detection
Uniquely combines rumination, movement and movement intensity measurement, recognizing behavior patterns.
SCR activity score is much less prone to walking and eating behavior, therefore suitable also for grazing herds (as proven in NZ and Ireland)
Real-time heat detection reports for optimized insemination timing.
Rumination application: Nutrition
Rumination time: proportional to the amount of long fiber the cow has eaten (eNDF, or “Scratch Factor”). About 140 min rumination to 1 Kg long fiber.
Daily rumination time less than 400 min indicate a major risk factor for rumen acidosis.
Rumen acidosis seriously impairs cow’s health and welfare and farmer income.
On December 15th, 2015, Dr. Alison Van Eenennaam presented this information for DAIReXNET. To view the full recording, visit our archived webinar page at http://articles.extension.org/pages/15830/archived-dairy-cattle-webinars
Improving breeding&reproductive performance of dairy animalsArab Khan
I gave presentation on this topic. Actually, this topic was difficult to search and to concise but have lot of knowledge that's why I selected it for my presentation.
Dr. Mark Allen - Present & Future: Bovine Genetic & Reproductive TechnologiesJohn Blue
Present & Future: Bovine Genetic & Reproductive Technologies - Dr. Mark Allan, Director Marketing and Genomics, Trans Ova Genetics, from the 2014 NIAA Annual Conference titled 'The Precautionary Principle: How Agriculture Will Thrive', March 31 - April 2, 2014, Omaha, NE, USA.
More presentations at http://www.trufflemedia.com/agmedia/conference/2014_niaa_how_animal_agriculture_will_thrive
A platform for testing, delivering, and continuously improving tropically-ada...ILRI
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Cows, missing milk markets and nutrition in rural Ethiopiaessp2
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Artificial Insemination Present Scenerio and Future Prospects by Dr J S Rajor...Jeetendra Singh Rajoriya
The first scientific research in artificial insemination of animals was performed on
dogs in 1780 by the Italian scientist, Lazzaro spallanzani.
In 1907 Ivanov reported the successful results of a series of artificial inseminations
in mares.
In india A.I. was introduced as early as 1939 by P Sampath Kumaran in mysore state at palace dairy farm.
First buffalo calf achieved by A.I. in india August 1943 at agriculture institute Allahabad.
Systemic work on A.I. was undertaken in 1944 at IVRI, izatnagar under the guidance of Dr. P. Bhattacharya.
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Presented by John P. Gibson, Ed Rege, Okeyo Mwai, Julie Ojango at the Dairy Genetics East Africa (DGEA) Project 2013 Grand Challenges Meeting, Rio de Janeiro, Brazil, 28-30 October 2013
Rbc farm Using Hydroponics to Improve food Securitypaulotush
A model Farm carrying out intensive and high turnover production, off a small area using Hydroponics Technology.
The fodder is grown in a containerized system that controls the light, temperature and water that the seed has exposure to.
A system of growing sprouted grain to provide green high quality livestock feeds in 6 Days.
This technology provides fodder solution to farmers all year round without depending on climatic condition and can be fed to all types of livestock.
Dr. Craig Rowles - Back to the Future: Producing Food in a Changing Consumer ...John Blue
Back to the Future: Producing Food in a Changing Consumer Environment - Dr. Craig Rowles, Chief Operating Officer, Biova LLC, from the 2016 Boehringer Ingelheim Vetmedica, Inc. Swine Health Seminar, February 26, New Orleans, LA, USA.
More presentations at http://www.swinecast.com/2016-boehringer-ingelheim-aasv
Asian Chicken Genetic Gains (AsCGG): A platform for exploring, testing and ...ILRI
Presented by Tadelle Dessie at the International Livestock Research Institute (ILRI), at launch meeting of the Asian Chicken Genetic Gains project, 24-25 May 2021.
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Importance of Artificial Insemination in Dairy AnimalsTiasha Biswas
This slide is on IMPORTANCE OF ARTIFICIAL INSEMINATION IN DAIRY ANIMALS which I have prepared during my 1st semester of B.Tech Dairy Technology course. Hope this helps you :'")
Piccola Cucina is regarded as the best restaurant in Brooklyn and as the best Italian restaurant in NYC. We offer authentic Italian cuisine with a Sicilian touch that elevates the entire fine dining experience. We’re the first result when someone searches for where to eat in Brooklyn or the best restaurant near me.
At Taste Of Middle East, we believe that food is not just about satisfying hunger, it's about experiencing different cultures and traditions. Our restaurant concept is based on selecting famous dishes from Iran, Turkey, Afghanistan, and other Arabic countries to give our customers an authentic taste of the Middle East
Key Features of The Italian Restaurants.pdfmenafilo317
Filomena, a renowned Italian restaurant, is renowned for its authentic cuisine, warm environment, and exceptional service. Recognized for its homemade pasta, traditional dishes, and extensive wine selection, we provide a true taste of Italy. Its commitment to quality ingredients and classic recipes has made it a adored dining destination for Italian food enthusiasts.
Roti Bank Hyderabad: A Beacon of Hope and NourishmentRoti Bank
One of the top cities of India, Hyderabad is the capital of Telangana and home to some of the biggest companies. But the other aspect of the city is a huge chunk of population that is even deprived of the food and shelter. There are many people in Hyderabad that are not having access to
Ang Chong Yi Navigating Singaporean Flavors: A Journey from Cultural Heritage...Ang Chong Yi
In the heart of Singapore, where tradition meets modernity, He embarks on a culinary adventure that transcends borders. His mission? Ang Chong Yi Exploring the Cultural Heritage and Identity in Singaporean Cuisine. To explore the rich tapestry of flavours that define Singaporean cuisine while embracing innovative plant-based approaches. Join us as we follow his footsteps through bustling markets, hidden hawker stalls, and vibrant street corners.
2. Opportunity
• Millions of eggs are being manually sorted to male and female each day
• The cost of this action globally can reach 500m$ each year. Since each
year 950 million broilers are raised as well as There are 6.6 billion laying
hens worldwide, producing over 1 trillion eggs each year.
• The manual work is slow, hard and highly professional.
• https://www.statista.com/statistics/237597/leading-10-countries-
worldwide-in-poultry-meat-production-in-2007/
• https://www.ciwf.org.uk/media/5235021/Statistics-Laying-hens.pdf
3. Company vision
• Increasing the profits on each 1 day old chick sold to farmers
• Building and selling an automatic sorting machine with two novel activities
a. sorting eggs to male or female before they hatch
b. providing a biological profile for each chick to predict its performance
• Allowing farmers to raise more uniformed flocks – a current problem
• Preventing the killing of male chicks after hatching day
• Traceability on each bird from incubation for food safety
4. A Novel System, Method & Algorithm
• Can suggest the sex of an unhatched egg
• Can point out future biological efficiency factors – feed conversion rate.
• How does it work;
• A bio sensing device will sense the eggs non invasively on arrival to incubation
Our solution
5. 1 Probability test was done with the leaders
Pas Reform is an international company,
which has specialized in the development
of innovative hatchery technologies for
the poultry sector since 1919. Today, the
company is the world’s only single-source
supplier of fully integrated hatchery
solutions.
Probroed & Sloot is an independent broiler
hatchery operating in the poultry chain with
sites in the Netherlands, Germany and
Belgium. We supply chickens that stand out
for their good health and high yields for the
broiler farmer. We are innovative, focusing
on working closely with our chain partners.
2018
6. Test Results are conclusive
• Findings show two different groups of eggs in the malefemale analysis
• In the test population the novel non invasive technique found two new
groups: with 94% accuracy
• Findings also show a consistent pattern offering feed conversion
profiling from before hatching. This can help send uniformed strong
flocks of 1 day old chicks to the farmers.
7. Competitors
• A non invasive method to determine the sex of an egg is a trophy many
startups are after.
• Yet the common approach is finding the answer for day 1 of incubation
• Our approach is delivering this information on day 17 from a financial
point of view of our future clients – the incubation systems
manufacturers.
They do not want to clear room inside the incubators during incubation.
8. Market
•Poultry is the largest protein industry and the
fastest growing agricultural sector with expected
growth of 50% in the next 5 years!
9. Team
• Ziv Dubinsky: an experienced inventor &
product developer, Awarded the Israeli Prime
Minister’s Prize for Entrepreneurship and
Innovation. Developed a state-of-the-art
system to optimize poultry house feed
distribution. 10 years as a poultry and insect
industry specialist developing innovative
systems and building them to last.
• Eran Ararat: 25 years expert in animals
poultry and fish, graduate of the agricultural
faculty in the Hebrew University.
The team members have additional joined R&D
projects in the poultry industry, additional team
members will join as we start the project.