Given that agriculture is a global multi-trillion-dollar industry that’s growing rapidly to keep pace with a rising population, the use of AI in this field has far-reaching implications. Here we explore some of the ways in which it can contribute.
Agriculture Analysis
AI can help farmers monitor soil and country wise email marketing list plants to optimize. Factors such as nutrition, moisture, and health. Knowing the state of plants before being able to recognize it through direct observation can help farmers adjust soil amendments, water, and lighting in indoor operations. It can also help them reduce pesticide use.
Also, AI-driven applications can identify the best place to plant certain crops based on factors like temperature, erosion, and soil quality to optimize production. This ability is just one more example of AI helping farmers to make better decisions.
Indoor Farming
With a burgeoning indoor farming trend, farmers as anyone paying attention to tech development have even more control over some of the factors mentioned above, especially weather and lighting. AI can be used to create specialized “crop recipes” that can speed up growth cycles and increase the number of harvests. AI-driven indoor farming has been shown to produce more food per acre and uses considerably less water than traditional (outdoor) farming.
Additionally, food grown indoors can help address issues like food deserts in urban areas. Food deserts are places with low access to healthy food, especially fresh produce. Such conditions can reduce life expectancy for citizens there.
Once identified, these locations are ideal places for indoor growing facilities, which can include vertical farms that spread up rather than out. These operations can make fresh produce available in food deserts and other locations throughout the year. The following video is a news story about how vertical farming works:
New Food Development
Researchers are using AI to increase singapore lead the health of the soil and the nutritional value of food. For example, the same food crop grown in the same location year after year reduces the soil’s health and resilience. Additionally, species of food chosen for faster growth may yield lower nutritional content. AI systems can be used to identify ways to improve these factors. It can also find previously unknown nutritional benefits in plants.