36 SEPTEMBER • WORLD AQUACULTURE • WWW.WAS.ORG The human brain’s complexity is evolving, thereby influencing the boundless potential of human intellect. One of the most significant innovations arising from this improvement is artificial intelligence (AI). With the world still evolving into an even more developed technological age, AI development is progressing at an unprecedented rate, transforming many sectors, particularly agriculture (Russell and Norvig 2021). At the same time, the world’s population is growing very quickly, and that puts more demand on food. The world’s population is expected to be about 10 billion by 2050 (United Nations 2019). That growth is putting pressure on food production systems both in the way these systems are managed and the way food security is being achieved. States’ conventional agricultural practices, as successful as they were in the past, are now increasingly inadequate due to challenges such as environmental degradation, depletion of resources, and high carbon emissions. To overcome these challenges, the use of artificial intelligence and automation in agriculture is an alternate option (Foley et al. 2011). Farmers can handle plenty of data and make knowledgeable choices about crop management, pest control, and the usage of resources (Shamshiri et al. 2018). Artificial intelligence helps in predicting the weather, improving irrigation, and fertilizing the soil. This leads to high yields and minimizes waste (Liakos et al. 2018). Additionally, the use of robots and precision farming equipment is also vital in rendering farm activities more efficient. Their use is expected to add efficiency to tasks that involve much labor, reduce the need for humans to work, and, overall, increase efficiency (Rejeb et al. 2022). Artificial intelligence and automation are major stepping stones toward sustainable food production. This makes agriculture more resilient to climate change and resource shortages (Zhang et al. 2020). With these technologies, we can aim to grow enough food for more individuals without hurting the environment. What is AI? Artificial Intelligence is defined as the ability of a machine to identify, learn, and execute complex analyses done by human intelligence. It may also be defined as the ability of a machine to make decisions and possess the ability of cognition. Reactive AI, limited memory AI, theory of mind AI, and self-aware AI are all types of AI that are widely utilized. Reactive AI, as defined by Marr (2021), is incapable of memory storage or long-term knowledge improvement. Conversely, AI with limited memory can use its experiences to generate predictions and carry out challenging tasks. The most advanced type, self-aware AI, has its own emotions and desires. AI can also be categorized based on its functionality and applications, including exponential language models, generative adversarial networks, diffusion models, and neural networks, among others. Neural networks are particularly interesting because they can store data as memory and are capable of performing intricate tasks. ZiD-AI: A Mobile-based AI Tool for the Automatic Morphometric and Behavioral Analysis of Adult Zebrafish (Danio rerio) Madhav Karthikeyan FIGURE 1. Process flow diagram of developing YOLO model. FIGURE 2. Results of the YOLO model training for 75 epochs, where the X-axis is training epochs and the Y-axis is respective metrics or loss value shown in each subplot. FIGURE 3. Measurement of the length of a zebrafish by using Digital photography (TpsDigs) on the left vs. Identification and measurement of the length of zebrafish by using Zid-AI along with detection of ArUco marker on the right.
RkJQdWJsaXNoZXIy MjExNDY=