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.
Shelter management for cattle and buffaloes under different climatic conditionsJayashree Gogoi
Physical modification of the every environment is based on two concepts.
One is to protect the cows from the factors contributing to heat stress and other is by enhancing evaporative heat loss by the heat abatement system such as shades, fans, for misters and sprinklers are use to alleviate heat stress of high producing animals
Record keeping in dairy farm management.pdfHari Om Pandey
Presentation tries to explain role of record keeping in sound planning of breeding, feeding and heeding and health management of dairy farm
in order to efficiently and effectively manage growth, production and reproduction. It assists in livestock management decisions and evaluates overall activities of the dairy farm.
Shelter management for cattle and buffaloes under different climatic conditionsJayashree Gogoi
Physical modification of the every environment is based on two concepts.
One is to protect the cows from the factors contributing to heat stress and other is by enhancing evaporative heat loss by the heat abatement system such as shades, fans, for misters and sprinklers are use to alleviate heat stress of high producing animals
Record keeping in dairy farm management.pdfHari Om Pandey
Presentation tries to explain role of record keeping in sound planning of breeding, feeding and heeding and health management of dairy farm
in order to efficiently and effectively manage growth, production and reproduction. It assists in livestock management decisions and evaluates overall activities of the dairy farm.
Sheep and goat research and development of EthiopiaILRI
Presented by Ayele Abebe, Debre Berhan Agricultural Research Center, at the SmaRT Ethiopia workshop and field day on Small Ruminant Community Based Breeding Program (CBBP), Hosaena, Ethiopia, 27–28 March 2018
Sheep and goats housing management It is a system in which sheep goats are continuously kept under housing in confinement with limited access in which they are stall-fed. It implies a system where goats are not left to fend for themselves with only minimum care.
scientific housing system of farm animal for better productivityDrSapunii Hanah
Animal need shelter for better productivity, however, many a time farmers forgot the basic structure or point that would provide comfortable zone to their animals. in this slide we discus in length about the basic point require for the animal.
Record keeping is a necessary element of good dairy management.
With no written records, farmers have to depend on their memory while making decisions regarding their farm practices.
Record keeping starts from Birth till death .
Automatic Estrus Detection System for Dairy Animalsidescitation
This paper deals with the new aid for detection of
Estrus (Heat) in dairy animals. As dairy Technology is
developing day by day, therefore reproductive performance of
dairy animals is major concern in dairy industry. This
Reproductive performance of dairy animals requires accurate
and regular Estrus detection. Estrus is nothing but a
behavioural symptom in mammals which indicate that female
is mated close to the ovulation. That’s why Timely detection
of estrus is the only solution to increase the fertility rate in
dairy animals. Failure to detect animal in estrus and breeding
animals which are not in estrus result in economic loss for
the owner because of extended calving interval and additional
semen expenses. Accurate Estrus detection gives idea about
proper timing of Artificial Insemination. So Estrus detection
is the key solution for effective growth in dairy technology.
During estrus period animal shows mounting behaviour,
increased physical activity and vaginal temperature of animal
is increased. So, in proposed technology, for the very first
time all these three signs are sensed by three sensors. The
signal from the sensors are given to the micro-controller, then
micro-controller process the data, display the data on LCD
screen as well as transfer all the data wirelessly to the Personal
computer (PC). PC runs a software module which display all
the data i.e. Animal name, number of mounting, physical
activity and vaginal temperature.
Sheep and goat research and development of EthiopiaILRI
Presented by Ayele Abebe, Debre Berhan Agricultural Research Center, at the SmaRT Ethiopia workshop and field day on Small Ruminant Community Based Breeding Program (CBBP), Hosaena, Ethiopia, 27–28 March 2018
Sheep and goats housing management It is a system in which sheep goats are continuously kept under housing in confinement with limited access in which they are stall-fed. It implies a system where goats are not left to fend for themselves with only minimum care.
scientific housing system of farm animal for better productivityDrSapunii Hanah
Animal need shelter for better productivity, however, many a time farmers forgot the basic structure or point that would provide comfortable zone to their animals. in this slide we discus in length about the basic point require for the animal.
Record keeping is a necessary element of good dairy management.
With no written records, farmers have to depend on their memory while making decisions regarding their farm practices.
Record keeping starts from Birth till death .
Automatic Estrus Detection System for Dairy Animalsidescitation
This paper deals with the new aid for detection of
Estrus (Heat) in dairy animals. As dairy Technology is
developing day by day, therefore reproductive performance of
dairy animals is major concern in dairy industry. This
Reproductive performance of dairy animals requires accurate
and regular Estrus detection. Estrus is nothing but a
behavioural symptom in mammals which indicate that female
is mated close to the ovulation. That’s why Timely detection
of estrus is the only solution to increase the fertility rate in
dairy animals. Failure to detect animal in estrus and breeding
animals which are not in estrus result in economic loss for
the owner because of extended calving interval and additional
semen expenses. Accurate Estrus detection gives idea about
proper timing of Artificial Insemination. So Estrus detection
is the key solution for effective growth in dairy technology.
During estrus period animal shows mounting behaviour,
increased physical activity and vaginal temperature of animal
is increased. So, in proposed technology, for the very first
time all these three signs are sensed by three sensors. The
signal from the sensors are given to the micro-controller, then
micro-controller process the data, display the data on LCD
screen as well as transfer all the data wirelessly to the Personal
computer (PC). PC runs a software module which display all
the data i.e. Animal name, number of mounting, physical
activity and vaginal temperature.
We propose a remote monitoring device for measuring behavioral indicators like posture, gait, vocalization, and external temperature which can help in evaluating the health and welfare of pigs. The multiparameter electronic sensor board was tested in a laboratory and on animals. Machine learning algorithms and decision support tools can be used to detect lameness, lethargy, pain, injury, and distress. The roadmap for technology adoption, potential benefits, and further challenges are discussed. This technology could help in efficient management of farm animals, providing targeted attention to sick animals, saving medical costs, and reducing the use of antibiotics.
"Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors,
Machine Intelligence, and Technology Adoption Roadmap",
Animals 2021, 11, 2665.
https://doi.org/10.3390/ani11092665
In a pig farm, it is challenging for the farm caretaker to monitor the health and well-being status of all animals in a continuous manner throughout the day. Automated tools are needed to remotely monitor all the pigs on the farm and provide early alerts to the farm caretaker for situations that need immediate attention. With this goal, we developed a sensor board that can be mounted on the ears of individual pigs to generate data on the animal’s activity, vocalization, and temperature. The generated data will be used to develop machine learning models to classify the behavioral traits associated with each animal over a testing period. A number of factors influencing the technology adoption by farm caretakers are also discussed.
Deep learning-based classification of cattle behavior using accelerometer sen...IAESIJAI
The increasing demand for food has led to the adoption of precision livestock, which relies on information and communication technology to promote the best practices in meat production. By automating various aspects of the industry, precision livestock allows for increased productivity, more effective management strategies, and decision-making. The paper proposes a methodology that uses deep learning techniques to automatically classify cattle behavior using accelerometer sensors embedded in collars. The work aims to enhance the efficiency and productivity of the industry by improving the classification of cattle behaviors, which is essential for farmers and barn managers to make informed decisions. We tested three different classification techniques to classify rumination, movement, resting, feeding, salting and other cattle behaviors and we achieved promising results that can contribute to a better understanding and management of cattle behavior in the livestock industry.
Cows in the cloud, Down to earth, 8-9 September 2015Claudia Kamphuis
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.
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
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.
Livestock farm Data Acquisition-Processing and management ..pdfHari Om Pandey
Livestock data acquisition essentially used in Smart Farming where a large amount of connected technologies produces a huge amount of data in order to maximize productions by reducing: human efforts, environment impact and wasting natural resources. It helps in improving livestock production, animals’ welfare, and farming processes, allowing to ease monitoring operations that can help farmers.
The Promise of Next-Generation Animal Management SystemsCognizant
Pharmaceuticals, biotech and device companies are searching for more robust next-gen animal management systems to help them enhance efficiencies, reduce costs and adhere to regulatory principles for humane animal care. This is an overview of existing systems, and the benefits, challenges, trends and technologies driving them.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
1. New techniques for the mechanization and
automation of livestock production system
Prepared by: Ahmad Shah Rasooli
MSc Animal husbandry student
Roll No: 0091
ANASTU University
Animal Science Faculty Kandahar,
Afghanistan
2. Topics
1. Introduction
2. Identification of livestock
3. Automatic feeding
4. Automatic milking
5. Automated estrus detection
6. Automatic detection of birth
7. Online herd management
8. Other farm operations
9. Summary and conclusion
10. References
3. Introduction
Automation is the use of mechanical and electronic equipment to
reduce the need for human labour. It has been used for carrying
out various farm operations like automatic identification,
feeding, milking, estrus and birth detection, egg collection,
exercising, barn cleaning, animal cooling, environmentally
controlled housing, and the livestock farms and grazing lands
management.
Automation saves time, requires less labour, improves product
quality and FCR, increases production, efficiency, accuracy and
safety. However, automation demands high installation and
repair costs; hence is more suitable for commercial &
institutional farms. With the automation of farms livestock
management is shifting from being an art to an app.
4. Identification of livestock
Identification of livestock is an important activity for farm management, identification of diseased animal,
claiming on animal ownership and detecting of an animal in special condition like: estrus or pregnancy.
Historically farmers and farm owners used different manual technics for identification of animals e.g. tagging,
branding, painting and the latest technic is electronic identification which is very beneficial and effective than
all previous technics.
The electronic identification and monitoring of animals is mostly carried out by:
a. Radio Frequency Identification system
b. Global Positioning System
c. Retinal Imaging & Muzzle Printometry
5. Radio Frequency Identification (RFID)
Radio frequency identification (RFID) is one of the advanced and efficient identification technologies in
recent years and is widely adopted by various dairy industries.
RFID can improve the automatic data collection.
A tag which is enable to connect with central data collection system is worn by the animal that is activated
by the electromagnetic signals broadcasts from the antenna and transmits a code in reply.
Transponder/Responder/Tag Transponder is implanted inside the body.
Collar: This is most commonly used. The responder is embedded in a plastic tag that is strapped to the
animal’s neck.
Electronic collars are similar to that of neck chains, except they have an attached tag with an electronic
number that can be read by a scanner.
The position of the collar allows for easy and reliable identification of the animals.
6. Continue….
Cuff: It is attached to the animal’s leg, and it can be equipped with a sensor and internal memory for recording data
that is transmitted together with the code at the time of identification. In this case, the devices are called
pedometers.
7. Continue….
Global Positioning System (GPS): It is a space-based satellite navigation system that
provides location and time information in all weather conditions, anywhere on the Earth,
The GPS technologies based on the latitude, longitude and altitude triangulation of
radio signals transmitted by a system of 24 satellites geo-orbiting.
Each GPS satellite transmits data that indicates its location and the current time.
The signals, moving at the speed of light, arrive at a GPS receiver at slightly different
times because some satellites are farther away than others.
8. Continue…..
Retinal Imaging & Muzzle Printometry: Retinal imaging is a non-invasive method in which a digital
camera takes a photo of the retinal vascular pattern. The vascular pattern is shown to be unique between
animals, twins, clones and even between eyes.
Muzzle Printometry: It is the method taking of the nose-prints of the animals and analyzing the imprints
for the match.
One man can easily take the print, when the animal is in a stanchion, by holding its head under one arm
and taking the print with the free hand.
It is necessary to wipe the nose dry before taking the picture.
9. Automatic feeding
An increasing number of farms are relying on automatic feeding to ease their workload, save time and
achieve flexibility.
Manual feeding accounts for approximately 25% of the total working time of farm worker.
At present rail-guided feed wagons are the best established in practice, but conveyer belts and self
propelled feeders are also used.
Automatic feeding system can be installed not only on farms with a big herd or a high milk yield but also
on small ones.
Many farmers have stated that their animals were significantly less stressed due to automatic feeding
(Grothmann et al., 2012).
10. Automatic milking
Automatic milking refers to the extraction of milk from dairy animals without human labour.
Milk extraction is only one of many areas in dairy farming that can be automated.
Automatic Milking Systems (AMS) are designed to make dairy farms more efficient and profitable
without the hard work.
AMS have been enable dairy farmers to significantly reduce the amount of manual labour required in the
milking process.
In addition to lowering staffing costs, AMS gives farmers more time to focus on farm management issues
such as feeding, breeding, health and hygiene.
11. Automated estrus detection
Automated estrus detection includes activity monitoring systems ,pedometer, mount detectors in which
pressure-sensors are placed on the cow’s tail head and that are stimulated each time the cow is mounted
(Rorie et al., 2002).
changes in temperature ,vaginal mucus resistance and changes in hormones such as milk progesterone,
lying behavior and rumination time (Brehme et al., 2008).
Combinations of these measures in the formulation of oestrus detection algorithms have been used to
increase detection rates and reduce the number of false positive alerts (De Mol et al., 1997).
In general the two main approaches are activity monitoring systems and a camera-based system that
automates the inspection of heat patches (Hempstalk et al., 2010).
12. Automatic detection of birth
The calving assistance and the calving prediction should be considered as the elements that allow operator
to get an action to reduce possible injures to the calf.
Calving monitoring is particularly important for cows suffering from poor health along with primary labour
insufficiencies as well as for cows with very valuable offspring.
Recently an electronic system for calving monitoring in dairy cows has been introduced on the market (C6
birth control®, Sisteck s.r.l., Italy) .
13. Online herd management
Herd can be managed from anywhere now with the help of the online herd management system.
Connected online with in-shed hardware it works as a single system to transfer data between the in-shed
modules and online databases to provide the manager with real time data capture and management.
The system is accessible wherever there is an internet connection giving a secure, 24/7 access to herd
reporting and task management.
14. Other farm operations that we can change to automation includes automatic barn cleaning,
mist cooling or sprinkling, automatic egg collection systems, automatic exercisers/walkers,
etc
15. Summary and conclusion
Automation is the use of mechanical and electronic equipment to reduce the need for human labour.
Automation saves time, requires less labour, improves product quality and FCR, increases production,
efficiency, accuracy and safety.
Negative points include high installation and repair costs; hence more suitable for commercial & institutional
farms.
16. References
1. Bijl, R., Kooistra, S. R. and Hogeveen, H. (2010): The Profitability of Automatic Milking on Dutch Dairy
Farms. J. Dairy Sci. 90(1): 239-248.
2. Blomeke, C.R., Rusk, C. P., Balschweid, M. A. and Elliott, S. J. (2004): Animal Identification By Retinal
Imaging and Applications For Biosecurity. Biometric Standards, Performance, and Assurance Laboratory.
Department of Industrial Technology Purdue University. West Lafayette.
3. Brehme, U., Stollberg, U., Holz, R., and Schleusener, T. (2008): ALT pedometer– New sensor-aided
measurement system for improvement in oestrus detection. Comput. Electron. Agric. 62:73-80.
4. Caja, G., Conill, C., Nehring, R., and Ribo O. (1999): Development of a ceramic bolus for the permanent
electronic identification of sheep, goat and cattle. Comput. Electron. Agric. 24(2): 45-63.
5. Caria, M., Tangorra, F. M., Leonardi, S., Bronzo, V., Murgia, L. and Pazzona, A. (2014): Evaluation of the
performance of the first automatic milking system for buffaloes. J. Dairy Sci.
http://dx.doi.org/10.3168/jds.2013-7385
6. Castro, A., Pereira, J. M., Amiama, C. and Bueno, J. (2012): Estimating Efficiency in Automatic Milking
Systems. J. Dairy Sci. 95(2): 929-936.