Applications of ANN for Agriculture Using Remote Sensed Data

G. M., A. Karegowda, N. Rudrappa, D. G.
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Abstract

Ever since the advent of modern geo information systems, tracking environmental changes due to natural and/or manmade causes with the aid of remote sensing applications has been an indispensable tool in numerous fields of geography, most of the earth science disciplines, defense, intelligence, commerce, economics, and administrative planning. Remote sensing is used in science and technology, and through it, an object can be identified, measured, and analyzed without physical presence for interpretation. In India remote sensing has been using since 1970s. One among these applications is the crop classification and yield estimation. Using remote sensing in agriculture for crop mapping, and yield estimation provides efficient information, which is mainly used in many government organizations and the private sector. The pivotal sector for ensuring food security is a major concern of interest in these days. In time, availability of information on agricultural crops is vital for making well-versed decisions on food security issues.
人工神经网络在农业遥感数据中的应用
自现代地理信息系统出现以来,借助遥感应用跟踪自然和/或人为原因引起的环境变化已成为地理、大多数地球科学学科、国防、情报、商业、经济和行政规划等众多领域不可或缺的工具。遥感用于科学技术,通过它,可以在没有物理存在的情况下识别、测量和分析物体。印度自20世纪70年代以来一直使用遥感技术。其中一个应用是作物分类和产量估计。在农业中使用遥感进行作物测绘和产量估计提供了有效的信息,这些信息主要用于许多政府组织和私营部门。确保粮食安全的关键部门是目前关注的主要问题。及时获得有关农作物的信息对于就粮食安全问题作出明智的决定至关重要。
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