Strategic Short Note: Application of Smart Machine Vision in Agriculture, Forestry, Fishery, and Animal Husbandry
Journal
IoT and AI in Agriculture
Series/Report No.
IoT and AI in Agriculture: Self-sufficiency in Food Production to Achieve Society 5.0 and SDG’s Globally
Part Of
IoT and AI in Agriculture: Self-sufficiency in Food Production to Achieve Society 5.0 and SDG’s Globally
Start Page
125
End Page
131
ISBN (of the container)
9789811981135
9789811981128
DOI (of the container)
10.1007/978-981-19-8113-5
Date Issued
2023
Author(s)
Abstract
Food production is an increasingly important topic worldwide due to factors such as population increase and workforce aging. In conventional agriculture, which consists of forestry, fishery, and agriculture, and animal husbandry, manual observation is the main method used by farmers to monitor field and animal conditions. However, the younger generation is reluctant to engage in farming due to the high labor requirements and low wages. To solve this problem, smart machine vision, which is the combination of deep learning and machine vision, is applied for managing farms and increasing production. In this section, the architectures of smart machine vision applications are highlighted. Several examples of the applications are shown.
Subjects
Artificial intelligence
Convolutional neural networks
Deep learning
Food security
Machine learning
Recurrent neural networks
Publisher
Springer Nature Singapore
Type
book part