Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

We are in a race against time to combat climate change and increase food production by
70% to feed the ever‐growing world population, which is expected to double by 2050 …

This study aims to enhance the detection accuracy and efficiency of cotton bolls in complex
natural environments. Addressing the limitations of traditional methods, we developed an …

We are in the race against time to find new solutions amidst the threat of climate change, to
increase food production by 70% to feed the ever-growing world population which is …

For the development of such smart systems based on the computer vision as, for example,
unmanned aerial vehicles, driverless cars, etc. efficient image processing algorithms are …

Cellulose is one of the most widely used natural polymers developed in eco-friendly
methods, which has been used in various industrial processes and products since ancient …

Cotton Harvesting has always been a labor-intensive and time-consuming task which
involved significant challenges. Manual harvesting resulted in inconsistencies in yield and …

Cotton fungal diseases include rust, alternarialeaf spot, fusariumwilt, grew mildew, and root
rots. Identification of these diseases requires design of efficient fungi segmentation, feature …

Assessment of the cotton boll health is essential for field oversight and maturity rating.
Typical methods for agricultural image acquiring are unsuitable for cotton boll images due to …