Application of AI & IoT in Smart farming

IoT and AI solutions can unite into autonomous tractors to help gather real-time data about soil health, including water levels, temperature, and PH.

FREMONT, CA: Smart farming means using various technologies, including UAVs, Artificial Intelligence, machine learning, robotics, and IoT, to monitor farming operations, reduce human labor and boost the quality and quantity of farm produce.

Application of AI & IoT in Smart farming:

AI systems can support farmers in identifying the amount of light obtained by their crop’s foliage. If some plants are not receiving sufficient sunlight, they can change crop spacing to create enough space for sunlight penetration. However, manual observation of the foliage gap is pricey and time-consuming.

Visual-enabled AI systems can also follow and analyze the changes of plants daily to decide their growth rate. Such systems can use data from infrared sensors, satellite imagery, and thermal cameras.

When farmers use fertilizers and pesticides, the system can record and measure the response of the crops. Growers can utilize the data to distinguish underperforming crops and take the necessary steps to address the reason for the problem.

IoT and AI solutions can unite into autonomous tractors to help gather real-time data about soil health, including water levels, temperature, and PH. Farmers can also use drone cameras, satellite-captured images, and other sensors to track crop health. When analyzed, the outcomes can help growers identify nutrient deficits in the soil and crop pests & diseases.

AI-powered cameras can be fitted to drones and deployed on large-scale farms. The cameras will help growers detect crop issues, count fruits, and even forecast crop yield.

AI also automates other farming activities, like harvesting, seeding, weeding, and crop sorting. Farmers can use powerful and efficient AI platforms to manage all the data. The power of data can help diminish the cost of labor, increase yield production, and reduce the environmental footprint of farming.

The final goal of smart agriculture is to raise crop yield while decreasing the cost of production. It also supports the efficient application of resources, ranging from human labor to fertilizer and energy to water consumption.

AI & Smart farming is the future of the agriculture industry. They will enhance farming by supporting to detection of crop pests and diseases while increasing product quality. In addition, accurate crop yield prediction via AI will help countries achieve food security.