Artificial Intelligence In Agriculture

Name: Artificial Intelligence In Agriculture
Rating: 3.4 (54 reviews)

Artificial intelligence in animal production, Artificial intelligence in field crop production, Smart agriculture etc.

Created byEric Yeboah

Last updated 5/2026

English

What you'll learn

Artificial intelligence and protected cultivation
Artificial intelligence in field crop production
Artificial intelligence soil and water management and irrigation
Artificial intelligence in animal production
Artificial intelligence in supply chain management of horticultural products
General applications of artificial intelligence
Artificial intelligence for smart agriculture
Challenges in adopting artificial intelligence agriculture solutions
Activities in the agriculture value chain
Ways AI technology is enhancing farming methods

Course content

10 sections • 38 lectures • 3h 2m total length

Introduction3:09
Discover how artificial intelligence transforms agriculture—from soil and water management to crop, animal production, and supply chains—through data-driven decisions and policy options for the agri-food sector.
What is artificial intelligence in agriculture3:15
Explore how artificial intelligence drives precision agriculture, including AI-powered food harvesting, weed and pest control, soil nutrient detection, and real-time data from IoT, alongside AI, ML, and IoT market growth.
Artificial intelligence examples in agriculture8:16
Benefits of using artificial intelligence in agriculture9:47
Challenges in adopting artificial intelligence in agriculture2:28
Smart agriculture1:31
Changes in data collection in agriculture4:19
Activities in the agriculture value chain3:58
Artificial intelligence for smart agriculture6:19

Water budgeting at local or regional level8:00
Explore how artificial intelligence links real-time sensors, weather forecasts, and crop models to optimize soil and water management for climate-adaptive irrigation and water budgeting at local and regional scales.
Management of aquafers and river catchments5:12
Challenges for AI in soil and water application4:14
Artificial intelligence in soil and water applications enables macro water management through an IoT sensor network and data assimilation, guiding irrigation and drainage to conserve resources and improve crop productivity.

Why are AI technology impacting animal production7:02
Explore how artificial intelligence transforms animal production by enhancing monitoring of animals, health, and welfare through sensor data, driving resource efficiency and sustainability in modern livestock farming.
Hardware of AI processing on livestock farms4:27
AI for improving animal productivity2:16
AI for improving animal welfare1:45
AI for improving animal health1:51
AI for improving breeding2:29
Challenges for AI solutions on livestock farms1:45

Al in online sorting and grading of fruit and vegetables6:46
All for linking post harvest quality to pre-harvest conditions3:27
Digital twins of horticulture supply chain3:24
Explore digital twins of the horticulture supply chain, linking sensors to real-time models of fruit and environment. Use mechanistic and AI approaches to optimize storage, shipping, and commercialization decisions.
Challenges in supply chain management of horticultural products1:58

Technical developments to reduce barriers for AI in agric-food4:37
Explore how artificial intelligence and connected sensors enable data driven decision making across agrifood. Leverage digital twins, autonomous tractors and robots, IoT connectivity, precision monitoring to boost yields and sustainability.
Challenges for models, data, and analytics4:21
Explore challenges for models, data, and analytics, focusing on high-quality, findable, interoperable data, dense sensor streams, and reliable labeling for deep learning and digital twin applications in agriculture.
Some concerns, expectations, and recommendation3:24
Explore concerns, expectations, and recommendations for adopting artificial intelligence in agriculture, focusing on user acceptance, trust, data quality and validity, model integration and safety, inclusivity, and policies.

Requirements

No special requirement
Desire to understand the operations of artificial intelligence in agriculture
Willingness to gain insight into agriculture technologies

Description

The world is experiencing a growth in population that is beyond our comprehension, in this situation food is urgently needed to aid in hunger. The application of agricultural technology such as artificial intelligence will aid in enhance efficient and effective farming, for farmers to gain more yields and reduce waste drastically. Artificial intelligence has being used in the applications to alleviate certain problems throughout industry and academia. Artificial intelligence like electricity and computers, is a general purpose technology that has a multitude of applications. It has being used in the fields of language translation, image recognition, credit scoring, e-commerce and other domains. Bringing the benefits of artificial intelligence and digital agriculture to all farmers requires accessibility to networks and affordable broadband internet access, not only in residence, but also in the fields. Farmers or small and medium-size enterprises must also make several complimentary investments, such as installing specialized infrastructure for collecting and transferring data.

Greenhouse production processes are already highly automated and controlled but, similar to what is occurring in many sectors, artificial intelligence systems are now taking control to unprecedented levels. Because of their potential ability to process large amount of data and make tiny continuous adjustments, Artificial intelligence systems are beginning to provide operators with myriads of production-related benefits. Crop health management involves detection and actuation. Detecting might be further enriched by prediction but the extreme complexity of weeds, disease and pest dynamics has not resulted in many wide spread commercial solutions yet. Technology has greatlly increase farm yields and has also contribute educing food wastage.

Who this course is for:

Farmers, governments, extension officers, agricultural ministries, students, food manufacturers, agriculture- consultants,

Artificial Intelligence In Agriculture

What you'll learn

Explore related topics

Course content

Introduction To Artificial Intelligence In Agriculture9 lectures • 43min

Artificial Intelligence And Protected Cultivation4 lectures • 28min

Artificial Intelligence In Field Crop Production4 lectures • 28min

Artificial Intelligence Soil And Water Management And Irrigation3 lectures • 17min

Artificial Intelligence In Animal Production7 lectures • 22min

Artificial Intelligence In Supply Chain Management Of Horticultural Products4 lectures • 16min

Barriers And Outlook for Artificial Intelligence In Agric-food3 lectures • 12min

Policy Options For The Use And simulation Of AI In Agric-Food Sector2 lectures • 7min

General Application Of Artificial Intelligence1 lecture • 3min

Ways AI Technology Is Enhancing Farming Methods1 lecture • 8min

Requirements

Description

Who this course is for: