The document proposes developing a system called the Layer Bird Vaccination Monitoring & Disease Detection System. This system would help small-scale layer poultry farmers in Zimbabwe track vaccinations, monitor treatments, and detect diseases early using data visualization and machine learning models. The system aims to address challenges small-scale farmers face like a lack of record keeping, monitoring of bird health, and limited access to veterinary support. It would allow farmers to enter bird symptom data and get recommendations to prevent losses from diseases.
A study on real time plant disease diagonsis systemIJARIIT
We aim to develop a real time application to the farmers for managing crop diseases. However, disease detection requires
continuous monitoring of experts which might be prohibitively expensive in large farms area. Automatic detection of plant diseases
is an essential research topic as it may prove benefits in monitoring large fields of crops and thus automatically detect the symptoms
of diseases as soon as they appear on plant leaves. Regarding plant disease diagnosis methodologies to detect diseases on crops,
image processing in disease diagnosis and eAGROBOT was studied. This paper is aiming to all are collectively used and formed
semi real time system for a disease diagnosis which uses image processing and data mining concepts to give pesticide
recommendation and pesticide cost estimation system. Thus the android application makes a good foundation for following effective
characteristic parameters for the disease diagnoses and setting up recommender system. The system is to be designed and developed
using Android studio as front-end software and SQLite as back-end software. The pictures and remedial measures of the diseases
were stored in the database and can be retrieved whenever necessary. The challenge is to make the farmers listen to the crop disease
diagnosis system and to get the advice related to the crop diseases. The constraint here is to develop the expert in local languages so
that farmers can operate the ES by themselves and get expert advice from the system.
Livestock are farm animals who are raised to generate profit. They are used for the commodities such as meat, eggs, milk, fur, leather and wool. Livestock animals usually distribute in remote areas, with relatively poor condition of disease diagnosis. Generally, it is difficult to carry out disease diagnosis rapidly and accurately.
Livestock diseases often pose a risk to public health and even affects the economy at large extent as we are quite dependent on the essential commodities we procure from the livestock. It is necessary to detect the disease outcome in the livestock to take the precautionary measures in order to avoid spread amongst them. So, there is a need for a system which can help in predicting the diseases among livestock on the basis of symptoms and suggest the precautionary measures to be taken with respect to the disease predicted. Our proposed system will predict the livestock (Cow, Sheep and Goat) disease using SVC (Support Vector Classifier) multi-class classification algorithm based on the symptoms and also provide the precautionary measures on the basis of disease predicted. There are some diseases which can prove to be fatal. So, our system will also alert the livestock owner if the predicted disease may cause a sudden death.
ADAPTIVE LEARNING EXPERT SYSTEM FOR DIAGNOSIS AND MANAGEMENT OF VIRAL HEPATITISijaia
Viral hepatitis is the regularly found health problem throughout the world among other easily transmitted
diseases, such as tuberculosis, human immune virus, malaria and so on. Among all hepatitis viruses, the
uppermost numbers of deaths are result from the long-lasting hepatitis C infection or long-lasting hepatitis
B. In order to develop this system, the knowledge is acquired using both structured and semi-structured
interviews from internists of St.Paul Hospital. Once the knowledge is acquired, it is modeled and
represented using rule based reasoning techniques. Both forward and backward chaining is used to infer
the rules and provide appropriate advices in the developed expert system. For the purpose of developing
the prototype expert system SWI-prolog editor also used. The proposed system has the ability to adapt with
dynamic knowledge by generalizing rules and discover new rules through learning the newly arrived
knowledge from domain experts adaptively without any help from the knowledge engineer.
A study on real time plant disease diagonsis systemIJARIIT
We aim to develop a real time application to the farmers for managing crop diseases. However, disease detection requires
continuous monitoring of experts which might be prohibitively expensive in large farms area. Automatic detection of plant diseases
is an essential research topic as it may prove benefits in monitoring large fields of crops and thus automatically detect the symptoms
of diseases as soon as they appear on plant leaves. Regarding plant disease diagnosis methodologies to detect diseases on crops,
image processing in disease diagnosis and eAGROBOT was studied. This paper is aiming to all are collectively used and formed
semi real time system for a disease diagnosis which uses image processing and data mining concepts to give pesticide
recommendation and pesticide cost estimation system. Thus the android application makes a good foundation for following effective
characteristic parameters for the disease diagnoses and setting up recommender system. The system is to be designed and developed
using Android studio as front-end software and SQLite as back-end software. The pictures and remedial measures of the diseases
were stored in the database and can be retrieved whenever necessary. The challenge is to make the farmers listen to the crop disease
diagnosis system and to get the advice related to the crop diseases. The constraint here is to develop the expert in local languages so
that farmers can operate the ES by themselves and get expert advice from the system.
Livestock are farm animals who are raised to generate profit. They are used for the commodities such as meat, eggs, milk, fur, leather and wool. Livestock animals usually distribute in remote areas, with relatively poor condition of disease diagnosis. Generally, it is difficult to carry out disease diagnosis rapidly and accurately.
Livestock diseases often pose a risk to public health and even affects the economy at large extent as we are quite dependent on the essential commodities we procure from the livestock. It is necessary to detect the disease outcome in the livestock to take the precautionary measures in order to avoid spread amongst them. So, there is a need for a system which can help in predicting the diseases among livestock on the basis of symptoms and suggest the precautionary measures to be taken with respect to the disease predicted. Our proposed system will predict the livestock (Cow, Sheep and Goat) disease using SVC (Support Vector Classifier) multi-class classification algorithm based on the symptoms and also provide the precautionary measures on the basis of disease predicted. There are some diseases which can prove to be fatal. So, our system will also alert the livestock owner if the predicted disease may cause a sudden death.
ADAPTIVE LEARNING EXPERT SYSTEM FOR DIAGNOSIS AND MANAGEMENT OF VIRAL HEPATITISijaia
Viral hepatitis is the regularly found health problem throughout the world among other easily transmitted
diseases, such as tuberculosis, human immune virus, malaria and so on. Among all hepatitis viruses, the
uppermost numbers of deaths are result from the long-lasting hepatitis C infection or long-lasting hepatitis
B. In order to develop this system, the knowledge is acquired using both structured and semi-structured
interviews from internists of St.Paul Hospital. Once the knowledge is acquired, it is modeled and
represented using rule based reasoning techniques. Both forward and backward chaining is used to infer
the rules and provide appropriate advices in the developed expert system. For the purpose of developing
the prototype expert system SWI-prolog editor also used. The proposed system has the ability to adapt with
dynamic knowledge by generalizing rules and discover new rules through learning the newly arrived
knowledge from domain experts adaptively without any help from the knowledge engineer.
Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitisgerogepatton
Viral hepatitis is the regularly found health problem throughout the world among other easily transmitted diseases, such as tuberculosis, human immune virus, malaria and so on. Among all hepatitis viruses, the uppermost numbers of deaths are result from the long-lasting hepatitis C infection or long-lasting hepatitis B. In order to develop this system, the knowledge is acquired using both structured and semi-structured interviews from internists of St.Paul Hospital. Once the knowledge is acquired, it is modeled and represented using rule based reasoning techniques. Both forward and backward chaining is used to infer the rules and provide appropriate advices in the developed expert system. For the purpose of developing the prototype expert system SWI-prolog editor also used. The proposed system has the ability to adapt with dynamic knowledge by generalizing rules and discover new rules through learning the newly arrived knowledge from domain experts adaptively without any help from the knowledge engineer
@EARLI19 paper on Professional Learning in the health sector in developing countries by Koula Charitonos (Open University, UK) and Allison Littlejohn (University of Glasgow, UK)
Integration of Other Software Components with the Agricultural Expert Systems...IJARTES
Expert System is a rapidly growing technology in
the field of Artificial Intelligence. It is a computer program
which captures the knowledge of a human expert on a given
problem, and uses this knowledge to solve problems in a
fashion similar to the expert. The system can assist the expert
during problem-solving, or act in the place of the expert in
those situations where the expertise is lacking. Expert systems
have been developed in such diverse areas as agriculture,
science, engineering, business, and medicine. In these areas,
they have increased the quality, efficiency, and competitive
leverage of the organizations employing the technology. This
paper highlights the major characteristics of expert systems,
reviews several systems developed for application in the area
of agriculture and an overview about the integration of other
software components with the agricultural expert systems.
Role of expert systems in agriculture and its
applications in efficient crop production and
protection technologies has been reviewed and
discussed in this paper. Different domains of
agriculture are highlighted where expert systems can
play an important role for an expert in transferring
expert-driven knowledge instantly at the level of
farmer’s field. This paper explores structure of an
expert system, role of expert system in agriculture
along with details of expert system developed in the
different field of agriculture and also possibilities of
designing, developing and implementation of an
expert system for agriculture would motivate
scientists and extension workers to investigate
possible applications for the benefit of entire
agricultural community.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Design and Implementation of an Expert Diet Prescription SystemWaqas Tariq
Expert Diet Prescription System (EDPS) is proposed to identify an ailment by its name or symptoms, and return a result prescribing an appropriate diet corresponding to that ailment. The system has three access levels to the database, the; patient, doctor and an administrator. A database was created consisting of Seven known ailments, these ailments includes; Cancer, Diabetes, Measles, Cholera, Malaria, Goiter and Enlarged heart disease. The knowledge base for the database created was obtained from the experts. Wamp server, PHP and MYSQL and code charge studio was used to design the database, interface and graphics for the system. The introduction of expert diet system has become very necessary because of the long term devastating effect of drugs either as a result of drug abuse or its reaction on certain patient with exceptional cases. This will readdress the issue of adverse reaction of drugs, by the use of food/fruit as an alternative treatment to drugs.
Applications of information technology in agriculture ws ns for environmental...Aboul Ella Hassanien
This presentation due the workshop at faculty of agriculture - Suss Canal University organized by scientific research group in Egypt (SRGE) on Tuesday 8 April 214
BIOTECHNOLOGY
AND ITS APPLICATION TO VETERINARY SCIENCE
Carlos G. Borroto
Deputy Director, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba1
A questionnaire was sent to the 29 Member Countries of the OIE Regional Commission
for the Americas and information and comments were received from the Delegates of 21 Member
Countries. The questionnaire covered aspects relating to the application of biotechnology to
animal health, especially prevention-related issues, including: the development and production of
medicinal products and vaccines; the use of metabolic modifiers, probiotics and prebiotics;
advanced veterinary diagnostic methods; immunocastration and other applications. The
questionnaire also covered the aspects of regulations and public perceptions.
The report analyses the situation in the countries of the region in relation to the state of the art in
these technologies worldwide, revealing that modern biotechnology-based technologies offer huge
potential for the production of vaccines, medicinal products and other veterinary products.
The development and use of these technologies is concentrated in a few countries of the region,
while in others they are still not in widespread use. This creates the need to publicise and provide
training in these technologies, for which suitable development conditions exist in a number of
countries in the region. It is also necessary to foster the establishment of a comprehensive and
effective regulatory framework for the safe use of these technologies from the dual standpoint of
biosafety and of the regulations established in the veterinary register. All the countries of the
region consider that it is important for the OIE to issue additional standards for the production of
veterinary products using modern biotechnology.
Analysis and prediction of seed quality using machine learning IJECEIAES
The mainstay of the economy has always been agriculture, and the majority of tasks are still carried out without the use of modern technology. Currently, the ability of human intelligence to forecast seed quality is used. Because it lacks a validation method, the existing seed prediction analysis is ineffective. Here, we have tried to create a prediction model that uses machine learning algorithms to forecast seed quality, leading to high crop yield and high-quality harvests. For precise seed categorization, this model was created using convolutional neural networks and trained using the seed dataset. Using data that can be used to forecast the future, this model is used to learn about whether the seeds are of premium quality, standard quality, or regular quality. While testing data are employed in the algorithm’s predictive analytics, training data and validation data are used for categorization reasons. Thus, by examining the training accuracy of the convolution neural network (CNN) model and the prediction accuracy of the algorithm, the project’s primary goal is to develop the best method for the more accurate prediction of seed quality.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitisgerogepatton
Viral hepatitis is the regularly found health problem throughout the world among other easily transmitted diseases, such as tuberculosis, human immune virus, malaria and so on. Among all hepatitis viruses, the uppermost numbers of deaths are result from the long-lasting hepatitis C infection or long-lasting hepatitis B. In order to develop this system, the knowledge is acquired using both structured and semi-structured interviews from internists of St.Paul Hospital. Once the knowledge is acquired, it is modeled and represented using rule based reasoning techniques. Both forward and backward chaining is used to infer the rules and provide appropriate advices in the developed expert system. For the purpose of developing the prototype expert system SWI-prolog editor also used. The proposed system has the ability to adapt with dynamic knowledge by generalizing rules and discover new rules through learning the newly arrived knowledge from domain experts adaptively without any help from the knowledge engineer
@EARLI19 paper on Professional Learning in the health sector in developing countries by Koula Charitonos (Open University, UK) and Allison Littlejohn (University of Glasgow, UK)
Integration of Other Software Components with the Agricultural Expert Systems...IJARTES
Expert System is a rapidly growing technology in
the field of Artificial Intelligence. It is a computer program
which captures the knowledge of a human expert on a given
problem, and uses this knowledge to solve problems in a
fashion similar to the expert. The system can assist the expert
during problem-solving, or act in the place of the expert in
those situations where the expertise is lacking. Expert systems
have been developed in such diverse areas as agriculture,
science, engineering, business, and medicine. In these areas,
they have increased the quality, efficiency, and competitive
leverage of the organizations employing the technology. This
paper highlights the major characteristics of expert systems,
reviews several systems developed for application in the area
of agriculture and an overview about the integration of other
software components with the agricultural expert systems.
Role of expert systems in agriculture and its
applications in efficient crop production and
protection technologies has been reviewed and
discussed in this paper. Different domains of
agriculture are highlighted where expert systems can
play an important role for an expert in transferring
expert-driven knowledge instantly at the level of
farmer’s field. This paper explores structure of an
expert system, role of expert system in agriculture
along with details of expert system developed in the
different field of agriculture and also possibilities of
designing, developing and implementation of an
expert system for agriculture would motivate
scientists and extension workers to investigate
possible applications for the benefit of entire
agricultural community.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Research Inventy : International Journal of Engineering and Scienceresearchinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Design and Implementation of an Expert Diet Prescription SystemWaqas Tariq
Expert Diet Prescription System (EDPS) is proposed to identify an ailment by its name or symptoms, and return a result prescribing an appropriate diet corresponding to that ailment. The system has three access levels to the database, the; patient, doctor and an administrator. A database was created consisting of Seven known ailments, these ailments includes; Cancer, Diabetes, Measles, Cholera, Malaria, Goiter and Enlarged heart disease. The knowledge base for the database created was obtained from the experts. Wamp server, PHP and MYSQL and code charge studio was used to design the database, interface and graphics for the system. The introduction of expert diet system has become very necessary because of the long term devastating effect of drugs either as a result of drug abuse or its reaction on certain patient with exceptional cases. This will readdress the issue of adverse reaction of drugs, by the use of food/fruit as an alternative treatment to drugs.
Applications of information technology in agriculture ws ns for environmental...Aboul Ella Hassanien
This presentation due the workshop at faculty of agriculture - Suss Canal University organized by scientific research group in Egypt (SRGE) on Tuesday 8 April 214
BIOTECHNOLOGY
AND ITS APPLICATION TO VETERINARY SCIENCE
Carlos G. Borroto
Deputy Director, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba1
A questionnaire was sent to the 29 Member Countries of the OIE Regional Commission
for the Americas and information and comments were received from the Delegates of 21 Member
Countries. The questionnaire covered aspects relating to the application of biotechnology to
animal health, especially prevention-related issues, including: the development and production of
medicinal products and vaccines; the use of metabolic modifiers, probiotics and prebiotics;
advanced veterinary diagnostic methods; immunocastration and other applications. The
questionnaire also covered the aspects of regulations and public perceptions.
The report analyses the situation in the countries of the region in relation to the state of the art in
these technologies worldwide, revealing that modern biotechnology-based technologies offer huge
potential for the production of vaccines, medicinal products and other veterinary products.
The development and use of these technologies is concentrated in a few countries of the region,
while in others they are still not in widespread use. This creates the need to publicise and provide
training in these technologies, for which suitable development conditions exist in a number of
countries in the region. It is also necessary to foster the establishment of a comprehensive and
effective regulatory framework for the safe use of these technologies from the dual standpoint of
biosafety and of the regulations established in the veterinary register. All the countries of the
region consider that it is important for the OIE to issue additional standards for the production of
veterinary products using modern biotechnology.
Analysis and prediction of seed quality using machine learning IJECEIAES
The mainstay of the economy has always been agriculture, and the majority of tasks are still carried out without the use of modern technology. Currently, the ability of human intelligence to forecast seed quality is used. Because it lacks a validation method, the existing seed prediction analysis is ineffective. Here, we have tried to create a prediction model that uses machine learning algorithms to forecast seed quality, leading to high crop yield and high-quality harvests. For precise seed categorization, this model was created using convolutional neural networks and trained using the seed dataset. Using data that can be used to forecast the future, this model is used to learn about whether the seeds are of premium quality, standard quality, or regular quality. While testing data are employed in the algorithm’s predictive analytics, training data and validation data are used for categorization reasons. Thus, by examining the training accuracy of the convolution neural network (CNN) model and the prediction accuracy of the algorithm, the project’s primary goal is to develop the best method for the more accurate prediction of seed quality.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
1. LAYER BIRD VACCINATION MONITORING &
DISEASE DETECTION SYSTEM
Project Proposal
Submitted by
CHENAI MAKOKO
N0199598
Proposed Supervisor
Ms. C. Chivasa
A PROPOSAL SUBMITTED TO
The Department of Informatics at the National University of
Science and Technology in partial fulfillment of the requirements
for the degree of
BACHELOR OF SCIENCE (HONS) INFORMATICS
Faculty of Applied Sciences
[14 November 2022]
2. 1
CHAPTER 1 - Introduction
1.1 Introduction
Layer poultry farming means raising egg-laying poultry birds for commercial
egg production. Layer chickens are a particular species of hens, which need to
be raised from one day old. They start laying eggs commercially from 18-19
weeks of age. They remain to lay eggs continuously until they are 72-78 weeks.
They can produce about one kg of eggs by consuming about 2.25 kg of food
during their egg-laying period. Several highly egg-productive layer breeds are
available worldwide (https://www.facebook.com/growelagrovet, 2018).
Throughout the bird’s lifetime, it should reach all the target weights set. This
will ensure a healthy, well-developed, long-enduring bird. To produce quality
output farmers should follow vaccination and treatments religiously. Layers are
affected by different diseases which may be caused by viruses, bacteria, and
fungi. To avoid losses farmers should know when a bird needs treatment and
how? Should they fail, they can contact a vet.
Farmers need a dependable assistant to conduct their day-to-day work. Small-
scale farmers might not have enough labor at their disposal and are at a
disadvantage when it comes to record-keeping, monitoring, and keeping track
of vaccinations, treatments, and overall bird health. Many of them miss crucial
steps in the process because of work overload. Most available applications cater
to large commercial organizations with automated systems including poultry
machinery that feeds certain data into the system.
Layer birds’ management usually refers to the husbandry practices or
production techniques that help maximize production efficiency. Farmers can
have an application at hand that allows them to track progress and get warnings
or recommendations in this case disease prediction or detection, treatment, and
vaccination reminders. Sound management practices are very essential to
optimize production, and this includes detecting any diseases before things get
out of hand. Developing a System that is exclusively for the small-scale layer
3. 2
poultry farmer helps in not only record-keeping but also has a decision-making
tool or recommender. This software application covers certain aspects of Layer
Farms. A person with basic knowledge can easily use this software.
1.2 Background
Over the years, farming of layer birds has been on the rise in Zimbabwe. This
has especially proven the need to keep track of farming records and automate
systems so that decisions are made easily with a glance at the dashboard. The
need also dictates that recommendations be made to the farmer from the data
they provide. This study will focus on these aspects and how best they help the
layer farmer effectively.
Layer farmers face many challenges, devastating diseases being the major ones.
Poultry is highly infected with coccidiosis, salmonella, and Newcastle diseases
amongst others, which cause a high mortality rate of livestock. Some of the
disorders, for instance, Salmonella are zoonotic, meaning they can even spread
to humans hence affecting the health of the community. In addition to diseases,
farmers lack access to reliable sources of information on poultry due to several
extension officers, distant locations for consultations,s and a lack of awareness
and recommended animal husbandry practices (Lwoga et al., 2010). They
instead rely on word of mouth from friends and their ways and tradition.
Farmers need solutions to the problems to increase productivity; the use of
vaccines is the common countermeasure at hand though does not apply to all
diseases. The recent use of deep learning in disease detection motivates the need
to contribute to robust diagnostics (Albarqouniet al., 2016)
1.3 Problem Description
Coccidiosis, Salmonella, and Newcastle are some of the common poultry
diseases that curtail poultry production if they are not detected early. In most
third-world countries, these diseases are not detected early due to limited access
to agricultural support services by poultry farmers (Machuve et al., 2022).
A system is needed to run a small-scale layer farm adequately with the rising
demand for poultry. To avoid losses, farmers can always prevent the causes i.e.,
diseases. Small-scale farmers may not always have access to a vet at all times.
4. 3
Improved management and disease control can have a substantial impact on
household economies. Reduced losses will ensure that more birds could be
successfully reared and, assuming the extra birds can be properly fed, this will
allow more eggs to be collected and consumed or sold as a regular source of
income. Treatment of the sicknesses after late identification results in a high
mortality rate for the birds (Wong et al., 2017). Therefore, this study aims at
developing a model for the early detection of poultry diseases using deep
learning for early detection of the diseases.
1.4 Aim
To develop a model for early detection of layer bird diseases for layer poultry
farmers.
1.5 Objectives
● To develop a model for early diagnostics of layer bird diseases
● To allow farmers to enter symptoms of layer birds for detecting disease.
● To recommend steps to farmers upon disease identification.
1.6 Project justification
Several cases of layer disease, mainly in Zimbabwe, go undiagnosed due to poor
veterinary support in remote areas. In this context, a centralized system is
needed for effective monitoring and analysis of the layer birds. The farmers are
challenged with inadequate biosecurity measures and limited access to poultry
health services compared to the large-scale commercial poultry system
(Hemalatha et al., 2014). A web-based poultry disease diagnostic system is a
central platform to store the history and predict the possible disease based on
the current symptoms experienced by a bird to ensure a faster and more accurate
diagnosis. Early disease prediction can help the users determine the severity of
the disease and take quick action(Liakos et al. 2018). Improvement in layer
farming practices shall mitigate the effects caused by the diseases, as various
studies indicate that the most efficient way to manage poultry diseases is via
early detection and treatment (Yazdanbakhsh et al., 2017). The target group of
5. 4
this study is small-scale layer farmers who use deep litter or semi-commercial
production systems (Wong et al., 2017). Only a small proportion of the diseases
that affect layers can be controlled with vaccination and studies show that in
very few countries in Africa, 28% use models to solve different problems
(Brooks-Pollock et al., 2015). Therefore, there is a need for tools with efficient
and effective methods for diagnostics of diseases that will lead to better yield
and an increase in production.
1.7 Project Scope
The study will be useful to farmers, as the outcome is a tool for the early
detection of diseases affecting layers, contributing to robust diagnostic
measures. This tool will enable farmers to overcome the loss incurred due to
late diagnosis of the disorders affecting layer birds. In the scientific body of
knowledge, the study will contribute to developing a model based on a deep
learning approach that can be deployed on web platforms that will be easily used
by small-scale farmers, extension officers, and other stakeholders.
Rapid detection and diagnostic technologies allow for responses to be made
sooner when the disease is detected, decreasing further bird transmission and
associated costs. Additionally, systems of rapid disease detection produce data
that can be utilized in decision support systems that can predict when and where
the disease is likely to emerge in poultry. (Astill et al., 2018).
In this research, we will be focusing on tracking vaccinations, monitoring
treatments, and data visualization for easy decision-making. We will not be
focusing on other aspects of the whole layer farming process that includes
weighing or focusing on lighting or egg production. In layer farming processing,
several other aspects will not be our focus in this research. The above-mentioned
aspects of the process will be our focus so that we define how captured data will
be used and how the system will use it to the farmer’s advantage. The goals
specific to this project will be defined.
6. 5
1.8 Project Report overview
● Chapter 1 - Introduction
Introduction of the project and its concepts.
● Chapter 2 - Literature Review
Reviews of previous similar work done by other researchers.
● Chapter 3 - Methodology
An explanation of research and software design methodologies that were used
to come up with the solution is explained.
● Chapter 4 - System Analysis and Design
This chapter gives an analysis of the system. “what?”, “how?”, “who, when?”
and “how?” a detailed design of how the system will be achieved is given in the
form of a selected design technique.
● Chapter 5 - Implementation System
converting the design into a system and putting that system through various tests
before deployment.
● Chapter 6 - Conclusion
It concludes the work done by giving an analysis of the results. It also
recommends how the solution can be improved in the future.
7. 6
References
● Anon, (2022). 5 Best Poultry Management Apps for Android & iOS |
Free apps for Android and iOS. [online] Available at:
https://freeappsforme.com/poultry-management-apps/#layer-farm-
manager [Accessed 23 Sep. 2022].
● Astill, J., Dara, R.A., Fraser, E.D.G. and Sharif, S. (2018). Detecting and
Predicting Emerging Disease in Poultry with the Implementation of
New Technologies and Big Data: A Focus on Avian Influenza Virus.
Frontiers in Veterinary Science, 5. doi:10.3389/fvets.2018.00263.
● digit (2019). What Is Scrum Methodology? & Scrum Project
Management. [online] Digital. Available at:
https://www.digite.com/agile/scrum-methodology/
● https://www.facebook.com/growelagrovet (2018). Layer Poultry
Farming Guide for Beginners. – Growel Agrovet. [online] Growel
Agrovet. Available at: https://www.growelagrovet.com/layer-poultry-
farming/.
● Janardan (jana@poultry.care) (n.d.). Poultry Farm Management
System. [online] Poultry Care. Available at:
https://www.poultry.care/blog/poultry-farm-management-system
[Accessed 23 Sep. 2022]
● Lutkevich, B. (n.d.). What is the project scope? [online] SearchCIO.
Available at: https://www.techtarget.com/searchcio/definition/project-
scope
● Machuve, D., Nwankwo, E., Mduma, N. and Mbelwa, J. (2022). Poultry
disease diagnostics models using deep learning. Frontiers in Artificial
Intelligence, [online] five, p.733345. doi:10.3389/frai.2022.733345
8. 7
● Rajora, Harish & Punn, Narinder & Sonbhadra, Sanjay & Agarwal,
Sonali. (2021). Web-based disease prediction and recommender system
● SearchCIO. (n.d.). What is a decision support system (DSS)? [online]
Available at: https://www.techtarget.com/searchcio/definition/decision-
support-system
● Trapani, K. (2018). What is Agile/Scrum? [online] cPrime. Available at:
https://www.cprime.com/resources/what-is-agile-what-is-scrum/
● www.fao.org. (n.d.). Chapter 1 - Egg production. [online] Available at:
https://www.fao.org/3/y4628e/y4628e03.htm
● www.measureevaluation.org. (n.d.). Building a Web-Based Decision
Support System — MEASURE Evaluation. [online] Available at:
https://www.measureevaluation.org/resources/publications/wp-18-
216.html [Accessed 23 Sep. 2022]
● extension.msstate.edu. (n.d.). Poultry Disease Diagnosis | Mississippi
State University Extension Service. [online] Available at:
http://extension.msstate.edu/publications/publications/poultry-disease-
diagnosis
● Journals, B. (n.d.). DISEASE DIAGNOSIS SYSTEM.
www.academia.edu. [online] Available at:
https://www.academia.edu/8648954/DISEASE_DIAGNOSIS_SYSTE
M [Accessed 8 Nov. 2022].
● Ahmed, G., Malick, R.A.S., Akhunzada, A., Zahid, S., Sagri, M.R. and
Gani, A. (2021). An Approach towards IoT-Based Predictive Service for
Early Detection of Diseases in Poultry Chickens. Sustainability, 13(23),
p.13396. doi:10.3390/su132313396.
● Girma, D., Jimma, W. and Diriba, C. (2022). Developing a Knowledge-
Based System for Predominant Chicken Diseases Diagnosis,
9. 8
Prevention, and Management. [online] doi:10.21203/rs.3.rs-
1953185/v1.
● Liu, J. and Wang, X. (2021). Plant diseases and pests detection based on
deep learning: a review. Plant Methods, 17(1). doi:10.1186/s13007-021-
00722-9.
● Abu-Naser, S.S., Kashkash, K.A. and Fayyad, M. (2008). Developing
an Expert System for Plant Disease Diagnosis. Journal of Artificial
Intelligence, 1(2), pp.78–85. doi:10.3923/jai.2008.78.85.
● www.parlog.com. (n.d.). Certainty factors. [online] Available at:
http://www.parlog.com/shared/imhelp/hs40.htm [Accessed 10 Nov.
2022].
●
●