However, innovation in agriculture is already commonplace. In addition to IoT sensors, artificial intelligence and machine learning systems, big data and blockchain are used. The number of mobile applications for the agricultural sector is growing. There are several examples of how such technologies can help agricultural production , not in the distant future, but today.
Increase Rice Yield with the Internet of Things
In Central Java, Indonesia, Atilze has managed to increase rice yields by 30-50% and save up to 50% water thanks to precision agriculture. This is the name of the approach in which modern technologies help manage soil productivity : special lead global positioning, yield estimation, remote sensing, Internet of Things and others.
Atilze has installed smart agricultural sensors that measure soil moisture and acidity, resolving the story out of order as well as ambient air temperature and humidity. This data enables better conditions for growing rice, which is actually grown in standing water. Farmers are now harvesting higher crop yields without increasing the area of the fields.
Control sauce production and supply with blockchain
Barilla is the world’s largest pasta producer, colombia business directory with 45% of the Italian market and 35% of the US market. The company has joined forces with IBM to better control the production and delivery cycles of pasta and pesto. Pesto has a special QR code that allows the Italian producer to track every detail. From cultivation, harvesting in the field, to transportation, storage, quality control, production and delivery directly to customers.
Identify weeds with AI and machine learning
Today it is a major concern of many divisions, including producers of crop protection and pest control products.
A subsidiary of Bayer Digital Farming has developed an app that uses machine learning and artificial intelligence to identify weeds. Farmers upload a photo of a weed to the app on their smartphone, and it compares the image to a cloud-based database of nearly 100,000 images. Farmers understand exactly what type of weed they are dealing with and can choose the most effective tools to control it. This helps protect crops and increase yields .