Artificial Intelligence In Agriculture (2023)

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.

Who this course is for
Farmers, governments, extension officers, agricultural ministries, students, food manufacturers, agriculture- consultants,