The agricultural sector is set to benefit significantly from the spread of AI. In fact, it is estimated that investments in AI applications in agriculture will increase almost tenfold over the next decade, highlighting the key direction of innovation in this field.
One of its key applications is crop yield prediction, where it uses data and predictive models to provide farmers with valuable information on future crop production.
In addition, AI can contribute to resource conservation by helping farmers to efficiently allocate resources such as water, fertilizers and pesticides to maximize yields and minimize waste.
Soil analysis is another area where AI contributes, as it can assess soil health and composition, guiding farmers on optimal planting and cropping practices.
If you want to learn more, check the AI4Agri Results Analysis in the Results section of our website!
Comments