Rice, a major food crop, is cultivated on nearly 162 million hectares of land worldwide. One of the most commonly used methods to quantify rice production is rice plant counting. This technique is used to estimate yield, diagnose growth, and assess losses in paddy fields. Most rice counting processes across the world are still carried out manually. However, this is extremely tedious, laborious, and time-consuming, indicating the need for faster and more efficient machine-based solutions.
Click here for original story, Drones and deep learning: Researchers develop a new technique to quantify rice production
Source: Phys.org