Artificial Intelligence seems like a far-off concept reserved for science fiction. In truth, AI is present in modern life and the advancements in this technology are being used to combat global poverty. Most prominently, computer scientists and engineers are improving the ways that AI increases food security globally. The need for utilizing technology in food security is essential to protect more than 800 million people suffering from hunger worldwide.
Predicting Threats to Food Security
A vital step to protect food security is looking ahead and responding proactively to potential problems. The Nutrition Early Warning System (NEWS) works by gathering massive amounts of data from vast sources to forecast developing situations affecting food supply. NEWS is a perfect example of how AI increases food security with constant improvements in its system to enhance response times to price changes, poor weather conditions for food development and other global crop issues.
The effectiveness of machine learning far surpasses human data collection and these types of technology have already seen success. Through the algorithms created by AI technology, a forecasted drought prevented many Colombian farmers from planting crops that would not have been fruitful. This prediction saved the farmers millions of dollars by avoiding crop loss during the dry spell. Preserving large amounts of money to spend during opportune times is another way AI increases food security and stabilizes supply.
AI Optimizes Agricultural Procedures and Production
People living in rural areas that work in farming communities are usually the most susceptible to extreme poverty. AI can improve working conditions and modernize agriculture to protect vulnerable populations and provide them with upward economic mobility through technology education and increased crop production.
AI robotics is revolutionizing agriculture and crop harvesting robots as well as AI-enhanced drones are increasing production and keeping workers safe. Robotic weed control allows for the proper and safe distribution of herbicides that can be harmful to humans. This also prevents herbicide resistance. In Argentina, drones inspect wheat crops for harmful infections and pests. AI increases food security by diagnosing soil conditions as well. This technology allows workers to implement the necessary strategies for correcting nutrient deficiencies.
The most important aspect of these technologies is that they provide benefits but will not reduce the need for actual workers. Though education in these fields can be expensive, the skills learned will add value and mobilize people out of extreme poverty.
The FAO AI Systems Used for Food Security
The Food and Agriculture Organization (FAO) has implemented two programs in which AI increases food security and improves agriculture sustainability; the FAO’s WaPOR portal and the Agriculture Stress Index System (ASIS). Both systems monitor water usage in agriculture in different ways.
- The FAO’s WaPOR portal monitors water in the Near East and African regions. It does this through open-source technology that gathers massive amounts of data. Simultaneously, the AI analyzes the data to determine the best water use for different crops and regions and uploads the information in real-time.
- ASIS works similarly to NEWS. It is a satellite system that works as an early detection system for droughts or other water shortages. ASIS breaks down the information from a global standpoint to each country and region. Doing this allows people to be proactive in their preparation for impending droughts by improving water usage and shoring up logistics of moving aid to an area troubled by food shortages, thereby preventing hunger.
The Future of Food Security
As time progresses, AI will improve and become more common, eventually becoming cheaper and more accessible worldwide. With the rapid advancement in this technology and what is already in place to sustain food security using AI, a hunger-free world is a closer reality.
– Zachary Kunze