Artificial intelligence has the potential to propel businesses across industries. And agriculture is not an exception as the technology is poised to revolutionize the sector at large. Owing to great learning, understanding, and retorting capability to different circumstances, cognitive computing, in particular, holds the promise to become the most disruptive technology in agriculture services.

Today, the agriculture industry is undergoing a major digital revolution to meet the growing food demands of the world’s mounting population. In order to address the requirements, there are several companies along with major countries taking this into charge fulfilling the demands by introducing innovative policies and products.

In this regard, Spacenus, a Deep Learning technologies-based company, offers AI-driven platforms that leverage smartphone cameras and satellite imagery for precision farming. Besides providing tailored AI-enabled solutions, the company builds and provides two products to the agricultural industry – Field boundary identification and Plant nutrient detection (PND). As Field-Boundary identification comproves automatically all the geometric data for agriculture fields as a service that are the basis for field-level digital farming, PND uses a deep learning algorithm to quantify the nutrient status in plant leaves just from a smartphone photo.

Leveraging AI-enabled solutions can provide several benefits to agriculture.

Monitoring Health of Crops

Remote sensing solutions along with hyperspectral imaging and 3D laser scanning are indispensable to develop crop metrics across thousands of acres. The technique has the potential to bring in a revolutionary change in terms of how farmlands are monitored by farmers both from time and effort perspective. This technology will also be leveraged to monitor crops along their entire lifecycle including report generation in case of anomalies.

Thwarting Crop Devouring Insects

Destructive insects and pests have always irked farmers. However, the invention of agriculture in the future, locusts, grasshoppers, and other such crop devouring insects will still eat profits and damage grains that would otherwise feed human beings. However, leveraging AI here provides growers a weapon against cereal-hungry bugs. With AI-driven solutions, farmers can get alert on their smartphone that can help monitor their farm and protect their agricultural land from such insects.

Image-based Insights

In the modern agriculture landscape, precision farming is one of the most discussed areas. In this, drone-based images can assist in in-depth field analysis, crop monitoring, scanning of fields, among others. Combining computer vision technology, IoT and drone data can be useful to ensure rapid actions by farmers. And that drone image data can generate alerts in real-time to speed up precision farming.