As AI technology is fully applied to the agricultural, livestock, and fisheries industries, experience-based management is shifting to data-driven management.
This book examines the characteristics of agriculture, livestock, and fisheries, as well as examples of AI utilization, and suggests directions for driving future changes in the agricultural, livestock, and fisheries industries.
It opens up new possibilities for those who dream of better food and a better future, even in the midst of uncertainty.

How is AI technology being used in open-field farming?
In the dictionary of agricultural terms, 'open field' is defined as land without a roof, or outside natural conditions.
It is a form of growing crops in the natural environment itself, and is greatly affected by external factors such as weather.
Recently, AI technology has been utilized to solve the difficulties of open-field farming.
Farming efficiency is being improved with technologies such as self-driving tractors for leveling the ground, drones for pesticide spraying, and automatic weeding for weed detection. AI is also being used to analyze soil conditions using satellite data and optimize fertilizer and water supplies.
--- From "01_AI and Agriculture"

The most important topic in the smartening of the fisheries industry is the diversity of fish species.
Each fish species has different environmental requirements and is consumed in different regions.
The fact that both physiological characteristics and growth conditions are different makes it difficult to predict the growth environment and hinders systematic data collection.
Therefore, it is necessary to develop environmental control technologies and aquaculture optimization technologies suitable for each fish species, and even develop logistics and distribution channels.
It is also necessary to re-optimize existing technologies to suit the characteristics of each fish species.
Fish farms handling a variety of fish species will be able to utilize AI technology to analyze environmental data and model growth conditions for each species, enabling more efficient operations.
--- From "03_AI and Fisheries"

AI and digital twin technologies are essential for conducting research on primary agriculture.
A 'digital twin' refers to a system that digitalizes the real-world environment and implements it identically in a virtual world within a computer.
It is called a digital 'twin' because it represents something in the real world in the digital world like a twin.
Because it is based on real-world data, simulations can be conducted in a virtual environment, and the information obtained here can be used to apply the optimal environment back to the real world.
Simply put, there is the real world and a virtual world that replicates it, and first, in the virtual world, you change the environmental conditions and experiment with various situations.

--- From "10_AI and Space Agriculture"