Applications of Pattern Recognition Algorithms in Agriculture: A Review
Applications of Pattern Recognition Algorithms in Agriculture: A Review
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发表时间：
2015
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通讯作者：
M. Raj;P. R. Swaminarayan;J. R. Saini;D. K. Parmar
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作者：
M. Raj;P. R. Swaminarayan;J. R. Saini;D. K. Parmar
- -模式识别起源于人工智能，是机器学习的一个分支，专注于模式识别和数据挖掘。数据可以是图像、文本、视频或任何其他格式。在一般情况下，模式识别是通过对问题进行形式化描述、解释和可视化来实现的。与模式匹配相比，模式识别算法通常通过考虑统计变化为所有可能的输入提供公平的结果。几十年来，概率分类器一直支持农业统计推断。该技术在农业中的潜在应用有很多，如卫星图像的模式识别，从叶片图像识别疾病类型，杂草检测等。本文探讨了模式识别在农业领域中的应用。
--------------------------------------------------------------------ABSTRACT------------------------------------------------------------- Pattern recognition has its roots in artificial intelligence and is a branch of machine learning that focuses on the recognition of patterns and regularities in data. Data can be in the form of image, text, video or any other format. Under normal scenario, pattern recognition is implemented by first formalizing a problem, explain and at last visualize the pattern. In contrast to pattern matching, pattern recognition algorithms generally provide a fair result for all possible inputs by considering statistical variations. Probabilistic classifiers have supported Agricultural statistical inference for decades. Potential applications of this technique in agriculture are numerous like pattern recognition from satellite imagery, identifying the type of disease from leaf image, weed detectionetc. This paper explores employment of pattern recognition in an agricultural domain.