Open AccessResearch on Digital Image Processing and Recognition Technology of Weeds in Maize Seedling Stage Based on Artificial Intelligence
Author(s) -
Jiali Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/4/042058
Subject(s) - precision agriculture , agricultural engineering , agriculture , agricultural productivity , environmental pollution , weed control , production (economics) , computer science , productivity , artificial intelligence , engineering , agronomy , environmental science , environmental protection , geography , economics , biology , macroeconomics , archaeology
In today’s agricultural development, field weeds can be said to be a strong enemy of agricultural production. In the production of traditional agriculture, herbicides and other related pesticides are mainly used to ensure the normal production of crops, which will cost a lot of manpower, material resources, financial resources and a large number of herbicides, and also cause serious environmental pollution. The development prospect of modern agriculture is precision agriculture. How to realize the sustainable development of agriculture, reduce pollution and achieve the goal of precision weeding in the current era is the difficult problem of agricultural development. Therefore, in this paper, the corn seedling stage as a model, the artificial intelligence technology and other electronic technology are integrated into the agricultural management system, and the weeds in the corn seedling stage are identified by using the weed digital image processing and recognition technology, so as to accurately spray herbicides, so as to achieve the purpose of improving agricultural productivity. Through the analysis, it is found that the method proposed in this paper has important practical significance in the development of digital image processing and recognition technology of maize seedling Weeds Based on artificial intelligence technology.