Managing agricultural land can often be very challenging due to its size and scale. Manual inspections, therefore, become very labor and cost-intensive. Crop disease is one task that is typically ...

Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

Overview: AI-driven precision farming enables real-time crop monitoring using data from sensors, satellites, and drones to ...

AMES, Iowa – A gardener hoping for a crop of the juiciest summer tomatoes might tend to each and every plant in a plot. But a farmer working to feed the world? Researchers believe that may be possible ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

Learn how the LaserWeeder’s advanced computer vision system and AI deep learning models promote sustainable agricultural practices while differentiating weeds from crops in real-time. In this second ...

From automation to machine vision to GPUs to artificial intelligence (AI), advanced technologies and engineering collaboration are reshaping agriculture. In this webinar, panelists will provide ...

IoT-enabled Agricultural (IoTAg) monitoring is smart, connected agriculture's fastest-growing technology segment projected to reach $4.5 billion by 2025, according to PwC. Global spending on smart, ...

Nigeria faces rising pressure to increase food production, manage climate risks, and support farmers who still carry much of the workload through manual labor. Reports from the National Bureau of ...

One of the simplest ways to understand a machine vision system is to consider it the “eyes” of a machine. The system uses digital input that’s captured by a camera to determine action. Businesses use ...

We are living in an age of turbocharged commerce and next-level consumer expectations. Customers will not hesitate to return a product that has a scratch or a food item past its expiration date.