Artificial Intelligence In Agriculture

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

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

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.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is artificial intelligence in agriculture

Lecture 3 Artificial intelligence examples in agriculture

Lecture 4 Benefits of using artificial intelligence in agriculture

Lecture 5 Challenges in adopting artificial intelligence in agriculture

Lecture 6 Smart agriculture

Lecture 7 Changes in data collection in agriculture

Lecture 8 Activities in the agriculture value chain

Lecture 9 Artificial intelligence for smart agriculture

Section 2: Artificial Intelligence And Protected Cultivation

Lecture 10 Plant phenotype of horticulture crops and the use of crop sensors

Lecture 11 Autonomous growing and protection

Lecture 12 Digital twins an decision support for market-oriented production

Lecture 13 Challenges for artificial intelligence in protected cultivation

Section 3: Artificial Intelligence In Field Crop Production

Lecture 14 Vehicle automation and smart field operation

Lecture 15 Expert system and decision support application

Lecture 16 Intelligence crop planning

Lecture 17 Challenges of artificial intelligence in field crop production

Section 4: Artificial Intelligence Soil And Water Management And Irrigation

Lecture 18 Water budgeting at local or regional level

Lecture 19 Management of aquafers and river catchments

Lecture 20 Challenges for AI in soil and water application

Section 5: Artificial Intelligence In Animal Production

Lecture 21 Why are AI technology impacting animal production

Lecture 22 Hardware of AI processing on livestock farms

Lecture 23 AI for improving animal productivity

Lecture 24 AI for improving animal welfare

Lecture 25 AI for improving animal health

Lecture 26 AI for improving breeding

Lecture 27 Challenges for AI solutions on livestock farms

Section 6: Artificial Intelligence In Supply Chain Management Of Horticultural Products

Lecture 28 Al in online sorting and grading of fruit and vegetables

Lecture 29 All for linking post harvest quality to pre-harvest conditions

Lecture 30 Digital twins of horticulture supply chain

Lecture 31 Challenges in supply chain management of horticultural products

Section 7: Barriers And Outlook for Artificial Intelligence In Agric-food

Lecture 32 Technical developments to reduce barriers for AI in agric-food

Lecture 33 Challenges for models, data, and analytics

Lecture 34 Some concerns, expectations, and recommendation

Section 8: Policy Options For The Use And simulation Of AI In Agric-Food Sector

Lecture 35 Issues in the application of AI in the agric-food sector

Lecture 36 Actions and regulations

Section 9: General Application Of Artificial Intelligence

Lecture 37 General applications of artificial intelligence

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