محاضرة بكلية زراعة بنها مشتهر

1. Digital agriculture and smart
digital farmer
The need for comprehensive digital
innovations
‫الدكتور‬ ‫األستاذ‬/‫حسنين‬ ‫عطيفى‬ ‫ابوالعال‬
‫المصرية‬ ‫البحثية‬ ‫العلمية‬ ‫المدرسة‬ ‫ورئيس‬ ‫مؤسس‬–‫مجلس‬ ‫مقرر‬
‫المعلومات‬ ‫وتكنولوجيا‬ ‫االتصاالت‬–‫العلمى‬ ‫البحث‬ ‫اكاديمية‬-‫وا‬‫ألستاذ‬
‫والمعلومات‬ ‫الحاسبات‬ ‫بكلية‬–‫القاهرة‬ ‫جامعة‬-‫وسام‬ ‫على‬ ‫الحاصل‬
‫االولى‬ ‫الطبقة‬ ‫من‬ ‫والفنون‬ ‫للعلوم‬ ‫الدولة‬
‫الذكى‬ ‫الرقمى‬ ‫والفالح‬ ‫الرقمية‬ ‫الزراعة‬
‫شاملة‬ ‫ذكية‬ ‫رقمية‬ ‫إبتكارات‬ ‫الى‬ ‫الحاجة‬
‫الزراعة‬ ‫كلية‬–‫بنها‬ ‫جامعه‬17‫أبريل‬2019

2. ‫على‬ ‫تعرف‬‫تاون‬ ‫كيب‬ ‫القاهرة‬ ‫طريق‬‫المشروعات‬ ‫أكبر‬ ‫أحد‬ ،
‫األفريقية‬ ‫الدول‬ ‫بين‬ ‫التجارة‬ ‫حركة‬ ‫تنشيط‬ ‫تسهم‬ ‫التي‬‫يمتدد‬ ‫الذي‬ ،
‫طريق‬ ‫أطول‬ ‫المشروع‬ ‫يعد‬ ‫كما‬ ،‫متر‬ ‫كيلو‬ ‫آالف‬ ‫عشرة‬ ‫بطول‬
‫تع‬ ‫في‬ ‫ويسهم‬ ،‫وجنوبها‬ ‫إفريقيا‬ ‫شمال‬ ‫بين‬ ‫تربط‬ ‫برية‬‫التبادل‬ ‫زيز‬
‫منه‬ ‫المستفيدة‬ ‫الدول‬ ،‫السمراء‬ ‫القارة‬ ‫أبناء‬ ‫بين‬ ‫التجاري‬‫مصر‬ ،
‫وزيمبابو‬ ‫وزامبيا‬ ‫وتنزانيا‬ ‫وكينيا‬ ‫وأثيوبيا‬ ‫والسودان‬‫والجابون‬ ‫ي‬
‫إفريقيا‬ ‫وجنوب‬.
‫م‬ ‫ربط‬ ‫إلى‬ ‫يهدف‬ ‫حيث‬ ،‫وأفريقيا‬ ‫مصر‬ ‫بين‬ ‫الحياة‬ ‫يعيد‬‫صر‬
‫ا‬ ‫القارة‬ ‫دول‬ ‫مع‬ ‫التجارة‬ ‫حركة‬ ‫وزيادة‬ ،‫األفريقية‬ ‫بالبلدان‬‫لسمراء‬
‫جنوب‬ ‫عاصمة‬ ‫قلب‬ ‫إلى‬ ‫بري‬ ‫بطريق‬ ‫الوصول‬ ‫خالل‬ ‫من‬
‫إفريقيا‬.
‫بجنوب‬ ‫تاون‬ ‫كيب‬ ‫القاهرة‬ ‫طريق‬
‫أفريقيا‬
‫التجارة‬ ‫حركة‬ ‫تنشيط‬
‫جديدة‬ ‫عمرانية‬ ‫مجتمعات‬ ‫خلق‬

3. ‫الصينى‬ ‫الحرير‬ ‫طريق‬
”‫والطريق‬ ‫الحزام‬“
‫أخري‬ ‫مرحلة‬ ‫تدشن‬ ‫لكي‬ ‫الصين‬ ‫قطعتها‬ ‫طويلة‬ ‫رحلة‬
‫األض‬ ‫بمشروعها‬ ‫كله‬ ‫للعالم‬ ‫بل‬ ‫وحدها‬ ‫للصين‬ ‫ليست‬‫في‬ ‫خم‬
‫مشروع‬ ‫وهو‬ ،‫البشرية‬ ‫تاريخ‬«‫والطريق‬ ‫الحزام‬»‫الذي‬
‫فكرة‬ ‫تحديث‬ ‫علي‬ ‫يقوم‬«‫الحرير‬ ‫طريق‬»‫الذ‬ ‫القديم‬‫كان‬ ‫ي‬
‫والبهار‬ ‫الحرير‬ ‫لتبادل‬ ‫أوروبا‬ ‫إلي‬ ‫الصين‬ ‫من‬ ‫يمتد‬‫من‬ ‫ات‬
،‫المتوسط‬ ‫البحر‬ ‫وحوض‬ ‫أوروبا‬ ‫من‬ ‫بمنتجات‬ ‫الشرق‬‫لكن‬
‫مشروع‬«‫والطريق‬ ‫الحزام‬»،‫وضخامة‬ ‫عصرية‬ ‫أكثر‬
،‫طريقين‬ ‫بشق‬ ‫العالم‬ ‫خريطة‬ ‫ويغير‬‫بري‬ ‫أحدهما‬‫وي‬‫متد‬
‫المتوسط‬ ‫البحر‬ ‫حتي‬ ‫الوسطي‬ ‫آسيا‬ ‫إلي‬ ‫الصين‬ ‫من‬
‫والثاني‬ ،‫وأوروبا‬‫تجاري‬ ‫بمجمعات‬ ‫تمر‬ ‫بحرية‬ ‫خطوط‬‫ة‬
‫حرة‬ ‫ومناطق‬ ‫وصناعية‬‫معظم‬ ‫يخدم‬ ‫الصين‬ ‫وتراه‬ ،
‫و‬ ،‫المناطق‬ ‫من‬ ‫كبير‬ ‫عدد‬ ‫تنمية‬ ‫علي‬ ‫ويقوم‬ ‫البشرية‬‫ال‬
‫علي‬ ‫يقتصر‬68‫البحرية‬ ‫والخطوط‬ ‫الطرق‬ ‫بها‬ ‫تمر‬ ‫دولة‬
‫النمو‬ ‫معدالت‬ ‫ويرفع‬ ‫العالمية‬ ‫التجارة‬ ‫سينعش‬ ‫وإنما‬

4. ‫م‬ ‫وجبة‬ ‫أطفالهم‬ ‫ليمنحوا‬ ‫العالم‬ ‫أنحاء‬ ‫جميع‬ ‫في‬ ‫يومي‬ ‫بشكل‬ ‫والنساء‬ ‫الرجال‬ ‫من‬ ‫كبير‬ ‫عدد‬ ‫يكافح‬‫غذية‬.‫وفي‬
‫هناك‬ ،‫الجميع‬ ‫إلطعام‬ ‫الغذاء‬ ‫من‬ ‫يكفي‬ ‫ما‬ ‫فيه‬ ‫ننتج‬ ‫عالم‬815‫شخص‬ ‫مليون‬-‫تسعة‬ ‫كل‬ ‫بين‬ ‫من‬ ‫واحد‬
‫أشخاص‬-‫خاوية‬ ‫بمعدة‬ ‫ليلة‬ ‫كل‬ ‫ينامون‬ ‫يزالون‬ ‫ال‬.‫أشخ‬ ‫ثالثة‬ ‫كل‬ ‫بين‬ ‫من‬ ً‫ا‬‫واحد‬ ‫أن‬ ‫ذلك‬ ‫من‬ ‫واألدهى‬‫اص‬
‫التغذية‬ ‫سوء‬ ‫أشكال‬ ‫أحد‬ ‫من‬ ‫يعاني‬.

5. Sensors in the cow
In the world of IoT, even the
cows will be connected and
monitored. Sensors are
implanted in the ears of cattle.
This allows farmers to monitor
cows’ health and track their
movements, ensuring a
healthier, more plentiful supply
of milk.
On average, each cow
generates about 200 MB of
information per year.
This information allows the farmer to
enhance milk production, reduce birth
risks or monitor cow health status, thus
avoiding trips to the facility in the small
hours and, therefore, saving precious
time.

6. INDUSTRY 4.0 OR THE DIGITAL
TRANSFORMATION OF THE
INDUSTRY
Aim: make the factory more
intelligent and better-
connected.
Robotics have revamped the activities of
workers by allowing them to avoid
repetitive tasks without added value,
3D printing can be used to created
complex and personalized parts for each
client
Connected devices bring the
connectivity that machines were lacking,
Big Data allows us to organize and
analyze all collected data in order to
optimize preventative maintenance and
move toward predictive maintenance,
Artificial intelligence has added
value to all these technologies, allowing
them to move further and faster.

7. Artificial
Intelligence in
Movies
In movies, robots are
able to talk, think,
have emotions, and
make decisions just
like humans
Artificial Intelligence in Biomedical Engineering and
Informatics: Review and Open Problems, Faculty of Eng.
CU, 9 March 2019

8. What is Artificial
Intelligence?
Artificial Intelligence is the theory and
development of computer systems that are
able to perform tasks that would required
human intelligence.
Examples of these tasks are visual
perception, speech recognition, decision-
making and translation between languages
“The science and engineering of making intelligent machines,
especially intelligent computer programs”. – According to the
father of Artificial Intelligence, John McCarthy

9. What is the internet
of things?
IoT is about connections – devices
(‘things’) that are connected to the
internet and/or to each other.
These connected or ‘smart’ devices
contain components that have the
ability to collect and exchange data.
A huge quantity of data can be
generated by their activities and
these data if monitored and
analyzed correctly can be very
useful.
There are many examples of
connected devices, ranging from a
smart lighting system installed in a
home that can be activated by voice
controls, a smart car that can
connect to a mobile phone, through
to sensors monitoring a
manufacturing process, and heart
monitoring implants.

10. Big Data in the
context of Agriculture
According to the National Science Foundation,
big data are large, diverse, complex,
longitudinal and/or distributed data sets
generated from instruments, sensors, internet
transactions, email, video, click streams and/or
all other digital means.
What is the value of Big Data if
we do not produce actionable
information

11. Applications of Artificial Intelligence in
Agriculture (IoT-based solutions)
Precision
Farming
Variable Rate
Technology
(VRT)
Smart
Irrigation
Agriculture
Drones
Smart
Greenhouse
Yield
Monitoring
Farm
Management
Systems
(FMSs)
Precision
Livestock
Farming

12. Internet of Things
The Agritech sector is considered as
one of the areas with bigger growth
potential within the Internet of Things
(IoT) industry. Deploying IoT devices in
farmlands capable of remotely sending
data related with the crops opens a
whole new world of possibilities.
These devices may include a number
of sensors that measure several
parameters affecting the evolution of
the crops, such as the soil moisture,
the temperature or the electrical
conductivity of the ground. All this
data allow a real time monitoring of
the status of the crops as well as,
through statistical models, predicting
when watering or fertilizing on certain
areas are going to be needed.

14. Artificial Intelligence is becoming ubiquitous intelligence with the
ability to see, hear, speak, smell, feel, understand gestures, interface
with your brain, and dream

15. Some Sectors
Impacted by AI
Agriculture Energy Educations Manufacturing Transportation Health Care
Machine learning and analysis of
electricity-consumption patterns
are helping to make informed, real-
time decisions about maximizing
energy efficiency. Utilities can
predict and meet constantly
changing energy needs by analyzing
data across electrical grids.
Machine learning algorithms can
forecast the occurrence of solar
flares, which can disrupt power
grids and satellites
Artificial intelligence has the
potential to help people manage
their own health care and maintain
health through a healthier lifestyle.
For example, the Smart belt has a
built-in magnetic sensor that tracks
waist size and tension to determine
when users may have overeaten
and, if so, offers an alert
Artificial intelligence has
spurred GPS-enabled smart
cars and enabled the adoption
of Smartphone technology that
provides real-time sensing and
prediction of traffic, route
calculations and ride-sharing
Amazon, a company known for
manning its warehouses with
robots, is now using machines to
make critical inventory decisions,
rather than tasking employees
with decisions that can be
automated.55 Future applications
of artificial intelligence in factories
have the potential to create new
manufacturing markets, improve
workplace safety and more
accurately project market demand
Intelligent tutoring
systems and online
learning will allow
teachers to instruct
students in different
languages or drastically
increase class size to
reach more students
efficiently. Artificial
intelligence may be
useful in filling the gaps
in subject areas in which
a teacher does not have
a particular expertise
The increasing availability of data is
paving the way for robots to
harvest firm fruits, for algorithms
capable of accurately detecting and
classifying plant pests and disease
and other technologies that can
predict crop yield. In the future,
artificial intelligence may be applied
to biotechnology and plant
breeding to improve the efficiency
of crop production.51
AI

16. AI in
Agriculture
In this process an installed application
guides farmers through the process of
growing, sowing, harvesting and sale
of produce. Artificial Intelligence is a
program that can adapt itself to
execute tasks in real time situations
using cognitive processing as the
human mind.

17. Smart Farming
Following the plant breeding and
genetics revolutions, this Third
Green Revolution is taking over
the agricultural world based upon
the combined application of ICT
solutions such as precision
equipment, the Internet of Things
(IoT), sensors and actuators, geo-
positioning systems, Big Data,
Unmanned Aerial Vehicles (UAVs,
drones), robotics, etc.
The Internet of Things (IoT), sensors and actuators, geo-positioning systems, Big Data,
Unmanned Aerial Vehicles (UAVs, drones), robotics, etc.

18. What is
E-agriculture?
E-agriculture involves designing,
developing and applying
innovative ways to use
information and communication
technologies (ICTs), including
digital technologies - in the rural
domain, with a primary focus on
agriculture, including fisheries,
forestry and livestock. ‫ذلك‬ ‫في‬ ‫بما‬
‫الحيوانية‬ ‫والثروة‬ ‫والغابات‬ ‫األسماك‬ ‫مصايد‬.

19. Plant Disease
Detection
Multi-classifier problem (machine
learning or deep Learning
solution)
Alternaria
Common
Scab

20. Plant-Beat service
to farms
‫استشعار‬ ‫بأجهزة‬ ‫المحاصيل‬ ‫تزود‬
‫المت‬ ‫البيئة‬ ‫حول‬ ‫المعلومات‬ ‫تسجل‬‫نامية‬.
‫ال‬ ‫المياه‬ ‫كمية‬ ‫بتتبع‬ ‫النظام‬ ‫يقوم‬‫تي‬
‫رطو‬ ‫ومدى‬ ، ‫النباتات‬ ‫عليها‬ ‫تحصل‬‫بة‬
، ‫التربة‬ ‫حرارة‬ ‫ودرجة‬ ، ‫التربة‬
‫البيانات‬ ‫من‬ ‫وغيرها‬.‫تقوم‬
‫إ‬ ‫المعلومات‬ ‫بتحميل‬ ‫المستشعرات‬‫لى‬
‫ون‬ ‫تحليلها‬ ‫يتم‬ ‫حيث‬ ، ‫سحابة‬ ‫خادم‬‫قلها‬
‫جوال‬ ‫تطبيق‬ ‫إلى‬
‫المستشعرات‬ ‫تتضمن‬‫ال‬ ‫بطاريات‬‫ليثيوم‬
‫البسيطة‬-‫ل‬ ‫تستمر‬ ‫أن‬ ‫يمكن‬ ‫التي‬‫مدة‬
‫عام‬ ‫إلى‬ ‫تصل‬-‫بتحميل‬ ‫ويقومون‬
‫باستخد‬ ‫مشفرة‬ ‫بطريقة‬ ‫البيانات‬‫ام‬
‫المحمولة‬ ‫الهواتف‬ ‫شبكات‬
Plant world to get Israeli Internet of Things tech
‫حوالي‬ ‫يستخدم‬60‫و‬ ‫الطماطم‬ ‫مزارعي‬ ‫من‬ ٪40‫إسرائيل‬ ‫في‬ ‫القطن‬ ‫مزارعي‬ ‫من‬ ٪
‫بالفعل‬ ‫النظام‬.

21. Smart
agriculture
Smart agriculture is a revolution
in the agriculture industry that
helps to guide actions required to
modify and reorient agricultural
systems to effectively support the
development and guarantee food
security during an ever-changing
climate.
‫الزراعة‬‫الذكية‬‫هي‬‫ثورة‬‫في‬
‫الصناعة‬‫الزراعية‬‫تساعد‬‫على‬
‫توجيه‬‫اإلجراءات‬‫الالزمة‬‫لتعديل‬
‫النظم‬‫الزراعية‬‫وإعادة‬‫توجيهها‬
‫لدعم‬‫التنمية‬‫بفعالية‬‫وضمان‬‫ا‬‫ألمن‬
‫الغذائي‬‫في‬‫مناخ‬‫دائم‬‫التغير‬.
The main focus of approaching smart agriculture is to
increase agricultural productivity and incomes.
Climate-smart agriculture helps to reduce or remove
greenhouse gas (GHG) emissions.
3rd Green revolution

23. Agriculture Industry
4.0 is changing the
food industry
Industry 4.0, also known as the
Industrial Internet of Things or
IIoT, incorporates technology to
create a completely connected
industry.
It collects information about
processes, equipment
performance, supplies and
orders, and big data aggregates
information from suppliers,
manufacturers and customers.
The food and beverage industry faces multiple challenges
from recalls to serving customer demands. Industry 4.0
will turn manufacturers into predictors instead of reactors.
This will save time and money for those who invest in the
technology.

24. Agricultural drone
An agricultural drone is an
unmanned aerial vehicle applied
to farming in order to help
increase crop production and
monitor crop growth. Sensors and
digital imaging capabilities can
give farmers a richer picture of
their fields. ... Thus, these views
can assist in assessing crop
growth and production.

25. Drones-based
sensor platforms

26. The business of
drones
The use of drones in agriculture is
extending at a brisk pace in crop
production, early warning
systems, disaster risk reduction,
forestry, fisheries, as well as in
wildlife conservation, for
example.

27. Use of sustainable information and communication technology in agriculture in not an
option. It is a necessity.
Climate change is having a major impact on
food security. More than 815 million people
are chronically hungry and 64 percent of the
chronically hungry are in Asia. The world needs
to increase food production by almost 50
percent by 2050 to feed a population of nine
billion, yet resources such as land and water
are becoming more and scarcer.
‫الغذا‬ ‫األمن‬ ‫على‬ ‫كبير‬ ‫تأثير‬ ‫له‬ ‫المناخ‬ ‫تغير‬‫ئي‬.‫أكثر‬
‫من‬815‫المزمن‬ ‫الجوع‬ ‫من‬ ‫يعانون‬ ‫شخص‬ ‫مليون‬
‫و‬64‫آسيا‬ ‫في‬ ‫المزمن‬ ‫الجياع‬ ‫من‬ ‫المئة‬ ‫في‬.
‫تق‬ ‫بنسبة‬ ‫الغذاء‬ ‫إنتاج‬ ‫لزيادة‬ ‫العالم‬ ‫يحتاج‬‫ارب‬50
‫عام‬ ‫بحلول‬ ‫المائة‬ ‫في‬2050‫البالغ‬ ‫السكان‬ ‫إلطعام‬
‫مث‬ ‫الموارد‬ ‫أصبحت‬ ‫ذلك‬ ‫ومع‬ ،‫مليار‬ ‫تسعة‬ ‫عددهم‬‫ل‬
‫ندرة‬ ‫أكثر‬ ‫والمياه‬ ‫األرض‬.

28. Blockchain
MUST!
The large number of products
flowing through the supply chain
Multiple parties involved in the
manufacture, processing and
transportation
Fluctuating temperature
conditions in a truck and delayed
shipments
Excessive time spent in
warehouses that may cause
spoilage to sensitive products and
in the event that a product (like a
batch of lettuce) has been
contaminated, how can other
shipments in transit be identified
and recalled?
‫ا‬ ‫سلسلة‬ ‫عبر‬ ‫تتدفق‬ ‫التي‬ ‫المنتجات‬ ‫من‬ ‫الكبير‬ ‫العدد‬‫لتوريد‬
‫والنقل‬ ‫والتجهيز‬ ‫التصنيع‬ ‫في‬ ‫تشارك‬ ‫متعددة‬ ‫أطراف‬
‫الشحنات‬ ‫وتأخر‬ ‫الشاحنة‬ ‫في‬ ‫الحرارة‬ ‫درجات‬ ‫تقلب‬
‫ت‬ ‫قد‬ ‫التي‬ ‫المستودعات‬ ‫في‬ ‫تقضيه‬ ‫الذي‬ ‫المفرط‬ ‫الوقت‬‫تسبب‬
‫الحساسة‬ ‫المنتجات‬ ‫تلف‬ ‫في‬

30. Smart Agriculture
Market

31. Need for Water
Conservation
Climate
change
Emphasis on
Enhancing
Efficiency
Climate change will significantly impact
agricultural production, These severe
weather conditions will stimulate the
deployment of IoT-based solutions in
agriculture to increase yield and improve
efficiency.
Agriculture consumes nearly 70% of
fresh water. Since water scarcity is
becoming an increasingly significant
problem across the globe, the
efficient utilization of water for
agricultural activities requires more
attention.
Proper technologies can help
reduce water consumption by 10%.
Applications such as smart
irrigation systems will help
to save water in agricultural
applications. Leveraging
IoT for water conservation will be a
major trend in the
future of agriculture.
Emphasis on Enhancing Efficiency – Smart
agriculture enables farmers to minimize costs and
the efforts associated with agricultural activities.
Smart agricultural technologies help to optimize
various agricultural resources such as seeds,
fertilizers, and pesticides along with human labor. .

32. Total addressable market
size by application
By 2020, the total addressable market
for telecom operators in agriculture is
as large as USD 12.9 billion from the
vertical integration, partnership and
marketing, and value added services
perspectives.

33. Robots are changing agriculture beyond
recognition, from cobot-assisted milking to cow-
herding drones!
Nursery Planting
Crop Seeding
Crop Monitoring
and Analysis
Fertilizing and Irrigation
Crop Weeding and Spraying
Autonomous Tractors
Picking and Harvesting
Shepherding and Herding
Milking
Robot
Smart Digital Farmer
Thinning and Pruning: Thinning involves
reducing the density of plants so that
each has a better chance of growing.
Pruning involves cutting back parts of
plants to improve their growth.

34. AI in food industry
(A) Sorting Food
It can be quite time-
consuming to sort fresh
produce in order to prepare it
for the manufacturing of
canned and bagged goods.
For example, sorting the size
of potatoes can help
manufacturers make
decisions regarding which
ones should be made into
French fries, potato chips, or
hash browns.
TOMRA Sorting Food, which uses sensor-based optical
sorting solutions with machine learning functionalities.
https://www.tomra.com/en/sorting/food

35. AI in food industry
AI helps with supply chain
management, as food safety
regulations have become more
strict and companies need to be
more transparent about their
operations. The technology helps
companies test and monitor food
safety products at every step of
the supply chain. It helps in
creating more accurate forecasts
to help manage pricing and
inventory, while it also tracks
products from farm to consumer
to offer transparency.
Food safety monitoring and testing product at every step of the
supply chain
More accurate forecasting to manage pricing and inventory
Tracking products from farm to consumer to provide transparency
(B) Improving the
Supply Chain

36. Food safety is an important issue
and it is required that the food
and beverage products must be
untouched by humans during
their processing in order to avoid
transmission of germs and
bacteria Food robots for: Pick and Place task,
Decorating cakes , and Pizza making
(C) Hygiene
AI in food industry

37. AI in food industry
(E) Cleaning Processing
Equipment
AI’s role in the food industry
is becoming increasingly
important due to its ability
to help save food that may
go bad, improve food
workers’ hygiene and clean
processing equipment more
quickly.
The technology ultimately
has the potential to create a
healthier and more
affordable food industry for
workers and consumers
alike.
It’s called Self-Optimising-Clean-In-Place, or SOCIP, and it uses ultrasonic
sensing and optical fluorescence imaging to measure food residue, as well
as microbial debris in a piece of equipment. This is followed by an
optimization of the cleaning process itself.
‫الص‬ ‫فوق‬ ‫بالموجات‬ ‫االستشعار‬ ‫ويستخدم‬ ‫المكان‬ ‫في‬ ‫الذاتي‬ ‫التنظيف‬ ‫يسمى‬ ‫إنه‬‫وتية‬
‫ف‬ ‫الميكروبي‬ ‫الحطام‬ ‫وكذلك‬ ، ‫الطعام‬ ‫بقايا‬ ‫لقياس‬ ‫البصري‬ ‫الفلوري‬ ‫والتصوير‬‫من‬ ‫قطعة‬ ‫ي‬
‫المعدات‬.‫نفسها‬ ‫التنظيف‬ ‫عملية‬ ‫تحسين‬ ‫ذلك‬ ‫ويتبع‬.

38. (D) Ensuring
Personal Hygiene
AI in food industry
AI is also helping to
improve personal
hygiene in a food
plant, which is just as
important as hygiene
in a kitchen, and
helps to ensure that a
facility is compliant
with regulations.
The system, which can also be used in restaurants, uses cameras to
monitor workers, and it uses facial-recognition and object-recognition
software to determine if workers are wearing hats and masks as
required by food safety laws. If it discovers a violation, the software
extracts screen images for review.

39. ‫الغذاء‬ ‫هدر‬ ‫من‬ ‫الحد‬
‫بين‬ ‫من‬4‫المواد‬ ‫من‬ ‫متري‬ ‫طن‬ ‫مليار‬
ً‫ا‬‫سنوي‬ ‫إنتاجها‬ ‫يتم‬ ‫التي‬ ‫الغذائية‬‫يتم‬ ،
‫االقتصاد‬ ‫يكلف‬ ‫ما‬ ‫وهو‬ ،‫الثلث‬ ‫إهدار‬
‫قرابة‬ ‫العالمي‬750‫دوالر‬ ‫مليار‬
ً‫ا‬‫سنوي‬.‫ا‬ ‫مخلفات‬ ‫تأتي‬ ‫ما‬ ً‫ا‬‫غالب‬‫لطعام‬
‫الم‬ ‫البلدان‬ ‫في‬ ‫لالستهالك‬ ‫نتيجة‬،‫تقدمة‬
‫ال‬ ‫البلدان‬ ‫في‬ ‫الفاقد‬ ‫يكون‬ ‫بينما‬‫نامية‬
‫استهالك‬ ‫يتم‬ ‫ال‬ ‫حيث‬ ‫اإلنتاج‬ ‫أثناء‬
‫بسب‬ ‫معالجتها‬ ‫تتم‬ ‫ال‬ ‫أو‬ ‫المحاصيل‬‫ب‬
‫قدر‬ ‫عدم‬ ‫بسبب‬ ‫أو‬ ‫التخزين‬ ‫ضعف‬‫ة‬
‫إلى‬ ‫بضائعهم‬ ‫نقل‬ ‫على‬ ‫المزارعين‬
‫األسواق‬.
https://ar1.wfp.org/zero-hunger

40. ‫مجموعة‬ ‫زراعة‬ ‫تشجيع‬
‫المحاصيل‬ ‫من‬ ‫مستدامة‬
‫محاصيل‬ ‫أربعة‬ ً‫ا‬‫حالي‬ ‫تمثل‬(‫األرز‬ ‫وهي‬
‫والصويا‬ ‫والذرة‬ ‫والقمح‬)60‫من‬ ‫المائة‬ ‫في‬
‫العال‬ ‫في‬ ‫المستهلكة‬ ‫الحرارية‬ ‫السعرات‬‫م‬.
‫تغير‬ ‫تحديات‬ ‫من‬ ‫لكل‬ ‫التصدي‬ ‫يتطلب‬
‫الغ‬ ‫إلى‬ ‫والوصول‬ ،‫الغذاء‬ ‫وتوافر‬ ،‫المناخ‬‫ذاء‬
‫وتحدي‬ ‫استكشاف‬ ‫على‬ ‫المزارعين‬ ‫مساعدة‬‫د‬
‫المحاصيل‬ ‫من‬ ً‫ا‬‫تنوع‬ ‫أكثر‬ ‫مجموعة‬.
‫مع‬ ‫العمل‬ ‫علينا‬ ‫يجب‬ ،‫ذلك‬ ‫إلى‬ ‫للوصول‬
‫األدوات‬ ‫على‬ ‫حصولهم‬ ‫لضمان‬ ‫المزارعين‬
‫على‬ ‫يقوم‬ ‫سوق‬ ‫وبناء‬ ،‫الالزمة‬ ‫والمهارات‬
‫لتن‬ ‫الغذائية‬ ‫باألهمية‬ ‫المجتمعات‬ ‫توعية‬‫اول‬
‫األطعمة‬ ‫من‬ ‫متنوعة‬ ‫مجموعة‬.

41. Developing new
products
Gastrograph AI support to help
food companies do exactly that.
Their technology uses machine
learning and predictive
algorithms to model consumer
flavor preferences and predict
how well they will respond to
new tastes.
The data can be segmented into
demographic groups to help
companies develop new products
that match the preferences of
their target audience.
https://www.gastrograph.com/

42. A roadmap for e-
agriculture in Egypt
Developing a national e-agriculture
action plan enables a government to
draw up a roadmap for its strategy
on the use of ICTs for agriculture.
This means identifying all activities
and how they should be managed,
funded and coordinated, and
pinpointing key actors for the design
and implementation of the e-
agriculture strategy.
Recommendation

43. Agriculture 4.0:
The future of framing
technology
It answers the question
of what the future state
of agriculture
envisioned by the
country will be and how
e-agriculture will help in
getting there.
Vision
‫عل‬ ‫سيكون‬ ‫ما‬ ‫حول‬ ‫سؤال‬ ‫على‬ ‫يجيب‬ ‫إنه‬‫يه‬
‫تتخي‬ ‫الذي‬ ‫للزراعة‬ ‫المستقبلي‬ ‫الوضع‬‫له‬
‫اإللكترو‬ ‫الزراعة‬ ‫ستساعد‬ ‫وكيف‬ ‫الدولة‬‫نية‬
‫إليها‬ ‫الوصول‬ ‫في‬.

44. Thanks