LEARNING
Use of a hardware-software complex for phytosanitary monitoring and chemical treatments of the Sosnowski hogweed
T. V. Kornilov, Anton Terentev, Valeriy Kekelidze
- Year
- 2020
- Citations
- 2
- Access
- Open access
Abstract
A new technology for the detection and chemical treatment of the Sosnowski hogweed using neural networks and ground and air robotic systems was tested. Confirmation is obtained of the possibility of detecting invasive weeds and their state using satellite imagery and UAVs. The features of the chemical treatment of dicotyledonous plants using UAVs are investigated. The effectiveness of the weed control by chemical pesticides sprayed with UAVs was confirmed by the example of the “Graund” herbicide.
Keywords
Phytosanitary certificationEnvironmental scienceSoftwareWeed controlChemical controlComputer scienceBiologyAgronomyHorticulture
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002