|
|
|
|
|
Shuhe Zheng, Yang Liu, Wuxiong Weng, Xuexin Jia, Shilong Yu and Zuoxun Wu
Recognition and localization of fruits are key components to achieve automated fruit picking. However, current neural-network-based fruit recognition algorithms have disadvantages such as high complexity. Traditional stereo matching algorithms also have ...
ver más
|
|
|
|
|
|
|
|
|
Victoria Kamenchuk, Boris Rumiantsev, Sofya Dzhatdoeva, Elchin Sadykhov and Azret Kochkarov
Urban vertical farming is an innovative solution to address the increasing demand for food in densely populated cities. With advanced technology and precise monitoring, closed urban vertical farms can optimize growing conditions for plants, resulting in ...
ver más
|
|
|
|
|
|
|
|
|
Andualem Aklilu Tesfaye, Berhan Gessesse Awoke, Tesfaye Shiferaw Sida and Daniel E. Osgood
Field-scale prediction methods that use remote sensing are significant in many global projects; however, the existing methods have several limitations. In particular, the characteristics of smallholder systems pose a unique challenge in the development o...
ver más
|
|
|
|
|
|
|
|
|
Yunus Egi, Mortaza Hajyzadeh and Engin Eyceyurt
The growth and development of generative organs of the tomato plant are essential for yield estimation and higher productivity. Since the time-consuming manual counting methods are inaccurate and costly in a challenging environment, including leaf and br...
ver más
|
|
|
|
|
|
|
|
|
Long He and James Schupp
Pruning is one of the most important tree fruit production activities, which is highly dependent on human labor. Skilled labor is in short supply, and the increasing cost of labor is becoming a big issue for the tree fruit industry. Meanwhile, worker saf...
ver más
|
|
|
|