Uploaded: 15-MAR-2024
Object Detection
YOLO
PyTorch
Our Archive
Uploaded: 09-MAR-2021
Object Detection
Deep Learning
Transfer Learning
Yolo V5
PyTorch
Arable crops are, undoubtedly, of great economic and social importance for the EU, as half of the total area is used for cereal cultivation. Interestingly, in 2017 the EU produced 309.9 million tonnes of cereals (which is almost 11.9 % of the global harvest) like wheat, maize, barley, rye, and oats, but also rice. However, […]
In any crop, the total production is definitely the most important criterion that shows the agricultural business’s success in revenue in relation to the expenses and simultaneously indicates if the producers achieved their targeted goals. Tree crops put some challenges in counting the fruits and as a consequence making a yield prediction or estimation. However, […]
One high-value crop that needs careful handling both throughout the growing season and during post-harvest care is broccoli. Broccoli heads are still plucked by hand since they are easily damaged. Moreover, to harvest broccoli plants when they are in their best condition, human scouting is also needed to initially locate the field segments where multiple […]
In agriculture, it is really difficult to precisely distinguish the diseases, the pests that have infected your crop, and also some nutrient deficiencies, because of the symptoms’ similarities, especially at the beginning of their emergence. This task, although it seems to be easy even for farmers and agronomists, has the possibility to cause serious problems […]
Yield estimation and mapping in orchards are important for growers as it facilitates efficient utilization of resources and improves returns per unit area and time. With accurate knowledge of yield distribution and quantity, a grower can efficiently manage processes such as use of chemicals, fertilization, and thinning. Yield estimation also allows the grower to plan […]
