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Digital Agricultural Technologies (DATs) are innovations that enable farmers and agribusiness entrepreneurs to leapfrog to increase their productivity, efficiency, and competitiveness, facilitate access to markets, improve nutritional outcomes and enhance resilience to climate change. These technologies range from mobile apps to digital identities for farmers to solar applications for agriculture to portable agriculture devices. DATs are increasingly becoming indispensable in the global food and agriculture sector, from fast and convenient information delivery to providing virtual marketplaces. Considering the fact that digital technologies can accelerate agro-food outcomes is juxtaposed with low adoption rates of the same, the World Bank’s operations are increasingly incorporating digital agriculture as a critical element in its operations. Thus, it is important to study digital agriculture technologies in further detail.

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Digital Agricultural Technologies (DATs) are innovations that enable farmers and agribusiness entrepreneurs to leapfrog to increase their productivity, efficiency, and competitiveness, facilitate access to markets, improve nutritional outcomes and enhance resilience to climate change. These technologies range from mobile apps to digital identities for farmers to solar applications for agriculture to portable agriculture devices. DATs are increasingly becoming indispensable in the global food and agriculture sector, from fast and convenient information delivery to providing virtual marketplaces. Considering the fact that digital technologies can accelerate agro-food outcomes is juxtaposed with low adoption rates of the same, the World Bank’s operations are increasingly incorporating digital agriculture as a critical element in its operations. Thus, it is important to study digital agriculture technologies in further detail.

This five-week course will provide a high-level overview of DAT concepts, potential impact, range of technologies available, used cases as well as forward-looking technologies. The course will introduce the participants to different agriculture data platforms already available and will encourage them to discover the scope and utility of the open data platforms for analytics and intelligence in agriculture. Participants will be required to engage in discussion forums with their peers and complete quizzes throughout the course.

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What's inside

Learning objectives

  • Gain a solid understanding of core concepts of dat and ict in agriculture, with a focus on used cases and potential impact.
  • Learn about digital tools enhancing on-farm productivity.
  • Understand how to empower smallholder farmers through ict/digital tools in market access and financial services.
  • Gain awareness of the forward-looking technologies and their scope in agriculture – artificial intelligence, remote sensing, crowdsourcing, and big data analytics.

Syllabus

This course runs for 5 weeks.
Week 1: Overview of Digital Agriculture
The first module of this course outlines what ICTs and digital technologies are being used in agriculture and how. It will explore the key drivers of ICT-enabled services in agriculture as well as the lessons learned so far. The module also introduces the Principles of Digital Development established in 2017 to capture the shifting role of technologies in global development. The second section of the module spotlights the impact of mobile phones and mobile technologies on agriculture and rural development.
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Week 2: ICT and Digital Tools for Enhancing Productivity on the Farm
In the modules, they are two sections; first section focuses on their impact on on-farm productivity; the second section focuses on improving farming practices through extension and advisory services.
Section 1: How can farmers and governments use ICT and digital tools to increase agricultural productivity? At the local level, farmers can use ICT to match cropping practices to climatic trends, use inputs and resources environmentally and sustainably, and cope with productivity threats. At the national level, public officials can adjust policies to reflect the data collected with ICT and digital tools, predict food supplies, target social programs, or promote yield technologies.
Section 2: ICT and digital tools have the potential to transform extension and advisory services in several ways—including changing the way in which extension agents do their work, but also changing the ways extension institutions are organized and staffed. The emergence of public and private innovators and start-ups with business models built around ICT-enabled advisory services signals the types of transformations that are likely to come.
Week 3: Empowering Smallholder Farmers through ICT/Digital Tools in Financial Services
New channels for delivering financial services (facilitated by ICT), new players, and greater competition enable service providers to offer a larger suite of financial products and services and acquire better financial information, some of which is useful for government regulation and policy development. A number of non-bank institutions have developed innovative approaches to financing agriculture, enabled by or integrated with ICT, including mobile financial services, branchless banking, ATMs, and smartcards.
While the digital revolution is reaching rural areas in many developing countries, the rural-urban digital divide remains, and rural women face a triple divide: digital, rural, and gender. This module looks at the benefits of ICT when placed in the hands of men and women working in agriculture and rural areas. It examines the challenges that must be overcome and provides recommendations for rural communities to take full and equal advantage of ICT.
Week 4: Strengthening Agricultural Market Access with ICT and Digital Tools
Farmers use mobile phones to build a network of contacts and draw on this wider expertise to obtain critical information more rapidly. The mobile phone, its special applications, and the Internet are essentially becoming management tools for farmers, especially in relation to market intelligence. Greater access to information helps farmers make better decisions about transportation and logistics, price and location, supply and demand, diversification of their product base, and access to inputs.
ICT also facilitates market research, increasingly using live information. This market information strengthens farmers’ position in their day-to-day trading. Over time, market intelligence enables them to focus on satisfying consumers’ and buyers’ demands and on developing relationships with stakeholders in the next stage of the value chain. The key development challenge lies in assembling and disseminating this information in a timely manner, not just to traders or larger-scale farmers but also to smallholders.
Week 5: Using ICT for Remote Sensing, Crowdsourcing, and Big Data
This module consists of three sections. (1) Remote sensing, (2) Crowdsourcing and crowd mapping, and (3) Big data for analytics:
The first section , “Remote Sensing for Sustainable Agriculture,” focuses on the different types of geographical solutions that producers and others in agricultural value chains can use to increase efficiency, reduce waste, and ultimately bring about more sustainable agricultural practices.
The second section on “Crowdsourcing and Crowd mapping: The Power of Volunteers,” focuses on how advances in social networking and data collection are enabling individuals to share hyperlocalized data in ways that have the potential to benefit society more broadly.
The last section, “Big Data for Analytics,” focuses on how all of these agriculture-related data collected globally can be mined and analyzed in ways that lead to meaningful insights about how agriculture can be made more sustainable and productive.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops foundational expertise in applying digital agricultural technologies (DATs) to farming practices
Covers the use of mobile apps, digital identities, solar applications, and portable agriculture devices in agriculture
Introduces different agriculture data platforms and encourages the discovery of their scope and utility for analytics and intelligence in agriculture
Taught by the World Bank Group, a recognized authority in agriculture and development
Provides a comprehensive overview of DATs, including their potential impact, range of technologies, and forward-looking advancements

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Reviews summary

Agriculture course uses ict

Learners say this e-Learning course leverages ICT to share information on farming methods to promote sustainable agriculture and ensure food security.
This course uses ICT to teach farming methods that promote sustainability.
"This course offers variaties of information pertaining to agriculture."
"It will help people to gain knowledge on how to improve on farming methods by incorporating ICT and this will promote sustainable agriculture..."
"ensure food security in countries ."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in e-Learning on Digital Agriculture with these activities:
Find a mentor who works in digital agriculture
Finding a mentor can help you to connect with experienced professionals in the field of digital agriculture.
Browse courses on Mentoring
Show steps
  • Identify potential mentors.
  • Reach out to potential mentors.
  • Build a relationship with your mentor.
Practice using a mobile app for farmers
Practice using a mobile app to improve your understanding of how farmers can use these technologies.
Browse courses on Mobile Apps
Show steps
  • Download a mobile app for farmers.
  • Explore the app's features.
  • Practice using the app to perform tasks related to agriculture.
Review 'The Fourth Industrial Revolution' by Klaus Schwab
Review an important book on the topic of digital agriculture technologies.
Show steps
  • Read the book and take notes.
  • Summarize the main points of the book.
  • Discuss the book with other students.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Take an online course on Python
Learn Python programming to enhance your understanding of digital agriculture technologies.
Browse courses on Python
Show steps
  • Enroll in an online Python course.
  • Complete the course modules.
  • Practice writing Python code.
Attend a workshop on digital agriculture technologies
Attending a workshop can help to learn about the latest advances in digital agriculture technologies.
Show steps
  • Find a workshop on digital agriculture technologies.
  • Register for the workshop.
  • Attend the workshop.
Volunteer with a local organization that promotes digital agriculture
Volunteering can help you to gain practical experience in digital agriculture and give back to your community.
Browse courses on Volunteering
Show steps
  • Find a local organization that promotes digital agriculture.
  • Contact the organization and inquire about volunteer opportunities.
  • Volunteer your time and skills.
  • Reflect on your experience.
Develop a data visualization tool for agricultural data
Develop a tool that can help farmers and other stakeholders visualize and understand agricultural data.
Browse courses on Data Visualization
Show steps
  • Gather data from various sources.
  • Clean and process the data.
  • Develop a data visualization tool.
  • Test and refine the tool.
Write a blog post about digital agriculture technologies
Writing a blog post can help to share your knowledge about digital agriculture technologies with others.
Show steps
  • Choose a topic for your blog post.
  • Research your topic.
  • Write your blog post.
  • Publish your blog post.

Career center

Learners who complete e-Learning on Digital Agriculture will develop knowledge and skills that may be useful to these careers:
Meteorologist
Meteorologists study the atmosphere and its weather patterns. This course may be helpful because it provides an understanding of how digital technologies can be used to predict weather and climate patterns.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course may be useful because it covers topics such as big data analytics, which can help data analysts to develop new insights from agricultural data.
Water Resources Engineer
Water Resources Engineers design and manage systems to control and distribute water. This course may be helpful because it provides an understanding of how digital technologies can be used to improve water management practices.
Hydrologist
Hydrologists study the movement and distribution of water on the Earth's surface and in the atmosphere. This course may be helpful because it provides an understanding of how digital technologies can be used to monitor and manage water resources.
Soil Scientist
Soil Scientists study the physical, chemical, and biological properties of soil. This course may be helpful because it provides an understanding of how digital technologies can be used to improve soil health and productivity.
Geographer
Geographers study the Earth's surface and its human and natural features. This course may be helpful because it provides an understanding of how digital technologies can be used to map and analyze the Earth's surface.
Environmental Scientist
Environmental Scientists study the environment and its interactions with humans and other organisms. This course may be helpful because it provides an understanding of how digital technologies can be used to monitor and protect the environment.
Food Scientist
Food Scientists study the composition, safety, and quality of food. This course may be helpful because it provides an understanding of how digital technologies can be used to improve the safety and quality of food.
Agricultural Economist
Agricultural Economists apply economic principles and quantitative methods to study production and distribution of agricultural products. They develop forecasts and make recommendations on agricultural policy. This course may be helpful because it provides a solid understanding of core concepts of Digital Agricultural Technologies (DAT) and ICT in agriculture, with a focus on used cases and potential impact. It also provides an understanding of how digital tools can enhance on-farm productivity and empower smallholder farmers through ICT/Digital Tools in market access and financial services.
Farm Manager
Farm Managers oversee the day-to-day operations of a farm. This course may be helpful because it provides an understanding of how digital tools can enhance on-farm productivity and empower smallholder farmers through ICT/Digital Tools in market access and financial services.
Agricultural Scientist
Agricultural Scientists conduct research to improve agricultural practices and develop new technologies. This course may be helpful because it provides a solid understanding of core concepts of Digital Agricultural Technologies (DAT) and ICT in agriculture, with a focus on used cases and potential impact. It also provides an understanding of how digital tools can enhance on-farm productivity and empower smallholder farmers through ICT/Digital Tools in market access and financial services.
Agricultural Engineer
Agricultural Engineers apply engineering principles to agriculture, including design, construction, and operation of agricultural machinery and structures. This course may be helpful because it provides an understanding of how digital tools can enhance on-farm productivity and empower smallholder farmers through ICT/Digital Tools in market access and financial services.
Crop Scientist
Crop Scientists study the genetics, physiology, and management of crops. This course may be helpful because it provides an understanding of how digital tools can enhance on-farm productivity.
Agronomist
Agronomists study soil and crop management practices to improve crop production. This course may be helpful because it provides an understanding of how digital tools can enhance on-farm productivity.
Animal Scientist
Animal Scientists study the breeding, nutrition, and management of livestock. This course may be helpful because it provides an understanding of how digital tools can enhance on-farm productivity.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in e-Learning on Digital Agriculture.
Provides a comprehensive guide to the use of ICT in agriculture. It covers topics such as the use of mobile phones, sensors, and data analytics to improve agricultural productivity and sustainability.
Provides a comprehensive overview of the use of digital technologies for agricultural and rural development. It covers topics such as the use of mobile phones, sensors, and data analytics to improve agricultural productivity, sustainability, and market access.
This handbook from the FAO provides a comprehensive overview of the use of ICTs in agricultural extension and advisory services. It covers a wide range of topics, including the use of ICTs to deliver agricultural information, provide training, and facilitate farmer-to-farmer extension.
Provides a collection of essays on the applications and implications of digital agriculture. It covers topics such as the use of digital agriculture to improve food security, reduce environmental impact, and empower farmers.
Provides an overview of the use of ICT in agriculture. It covers topics such as the use of ICT to improve agricultural productivity, sustainability, and market access.
This report from the ITU provides an overview of the use of mobile phones in emerging economies. It discusses the opportunities and challenges of using mobile phones for development, including in the agricultural sector.
Provides a report on the state of digital agriculture in the European Union. It covers topics such as the use of ICT to improve agricultural productivity, sustainability, and market access.
Provides a look at the future of food in the context of digital technology. It covers topics such as the use of AI, robotics, and 3D printing to create new and innovative foods.
Provides a primer on the Fourth Industrial Revolution in agriculture. It covers topics such as the use of ICT, AI, and robotics to create a more sustainable and efficient agricultural system.
This primer from the World Bank provides an introduction to big data for development. It discusses the potential and challenges of using big data for development, and provides guidance on how to use big data effectively.
This report from the FAO provides an overview of the use of artificial intelligence in agriculture. It discusses the opportunities and challenges of using AI to improve agricultural productivity, sustainability, and resilience.

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