Hunger and malnutrition statistics and data highlight the urgent need for aggressive and effective action.
FREMONT, CA: Food waste is one of the leading causes of malnutrition in today's world. As a result, governments and agricultural organizations should investigate using IoT and AI to reduce food waste to address hunger and save money.
Hunger and malnutrition statistics and data highlight the urgent need for aggressive and effective action.While technology has proven to be beneficial to a variety of businesses, it will also assist the government and other stakeholders in addressing food waste. IoT and AI are two such technologies that can be extremely useful in this situation. Consider a few specific areas where IoT and AI could have an impact on the food business.
Ways IoT can help to reduce food waste
Food is wasted significantly throughout its lifecycle, from the moment created until it gets consumed. Given the reality that millions of people are hungry, this issue requires immediate attention. And, to overcome these issues, the government and the food business must delve deeply into the IoT world.
IoT allows for collecting user data in real-time because of the widespread use of many sensors and cameras. Such priceless data, contained in real-time, can disclose insights that will assist stakeholders in making well-informed decisions.
Farmers may use these sensors to identify precisely where food is being wasted and take appropriate measures to reduce it.Both farmers and government officials can monitor food waste.
Perishable food has a higher possibility of decaying due to insufficient supervision. Furthermore, shelves must be handled and maintained appropriately at all times. These scenarios can benefit from IoT in retail. Smart shelves with many sensors can gather information on how food is stored and maintained.
Ways AI can help to reduce food waste
A retail store with a large selection of food goods must get restocked regularly. Pest assaults are more likely if the stock filled before the food items are still unsold. Inadequate food stock monitoring and forecasting is one of the numerous reasons behind this. Using AI instead of manual approaches can make this procedure much faster and more efficient.Retailers can order only the quantities of food they need if they have precise information.
Inadequate and inefficient food supply chain management is another common cause of food waste. Many times, food is packed and distributed to shops without being checked for quality. Retailers, unaware of the problem, stock their shelves with low-quality goods.There's a good chance that such food will go to waste. To avoid such waste, food manufacturers are experimenting with an AI-powered food inspection system that examines the quality of the food before it reaches the hands of consumers. Some technologies can monitor, analyze, and appraise food quality automatically.
Consumers waste a lot of food, from perishable food that spoils in the fridge to leftovers on a plate. People can cook their meals in the right portions using personalized AI-assisted cooking. Therefore, it can have a significant impact on reducing food waste to a greater extent.