|
|
|
Xiangpeng Fan and Zhibin Guan
The automatic recognition of crop diseases based on visual perception algorithms is one of the important research directions in the current prevention and control of crop diseases. However, there are two issues to be addressed in corn disease identificat...
ver más
|
|
|
|
|
|
Jorge Eduardo F. Cunha, George Deroco Martins, Eusímio Felisbino Fraga Júnior, Silvana P. Camboim and João Vitor M. Bravo
Understanding a crop?s productive potential is crucial for optimizing resource use in agriculture, encouraging sustainable practices, and effectively planning planting and preservation efforts. Achieving precise and tailored management strategies is equa...
ver más
|
|
|
|
|
|
Kexiao Xie, Dongkai Lin, Weihan Zhu, Yongqiang Ma, Jiaxiong Qiu, Youcheng Chen and Zhidan Chen
Tea is a global economic crop. In the traditional sales model, the quality of tea is difficult to judge via external clues, and it basically relies on consumers to taste and experience it firsthand. However, currently, most e-commerce platforms can only ...
ver más
|
|
|
|
|
|
Islombek Mirpulatov, Mikhail Gasanov and Sergey Matveev
Crop simulation models are an important tool for assessing agroecosystem performance and the impact of agrotechnologies on soil cover condition. However, the high uncertainty and labor intensiveness of long-term weather forecasting limits the applicabili...
ver más
|
|
|
|
|
|
Hugo Moreno, José Bengochea-Guevara, Angela Ribeiro and Dionisio Andújar
In the field of computer vision, 3D reconstruction of crops plays a crucially important role in agriculture. On-ground assessment of geometrical features of vineyards is of vital importance to generate valuable information that enables producers to take ...
ver más
|
|
|