Technology based Streamlined Agro-Farming Techniques

A. Gupta, Debangsi Satapathy, Sanjeev Thakur
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Abstract

Farming, all around the world is considered as one of the largest agro-sector which is set as a leading production to economic development for a country. Every person irrespective of occupation they seek, are dependent on food consumption for their survival. Scientists and researchers are trying to turn up the agricultural sector into a field that is cost-efficient, with enhanced equipment’s keeping in mind the optimum utilization of resources. Thus, technologies like Smart Farming and Internet of Things, makes it quite easy to handle and monitor with added up concepts like Machine Learning algorithms and Sensors which allow analyzing the processes to work in ease. The paper focuses on a technology based solution to be proposed for cultivation of specific (Tomato) plant using the above mentioned techniques to enhance the yielding properties by following three different approaches (as explained in Section VI).
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基于技术的流线型农业耕作技术
农业在世界范围内被认为是最大的农业部门之一,是一个国家经济发展的主导生产。每个人,无论从事什么职业,都要依靠粮食消费来生存。科学家和研究人员正在努力将农业部门转变为一个具有成本效益的领域,同时考虑到资源的最佳利用。因此,智能农业和物联网等技术使得处理和监控变得非常容易,加上机器学习算法和传感器等概念,可以轻松分析过程。本文的重点是提出一种基于技术的解决方案,利用上述技术通过以下三种不同的方法(如第六节所述)来提高特定(番茄)植物的产量特性。
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