智慧农业,智慧农业的未来

S. Vs, Anandhu Raj, YP II, -, Field assistant -
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引用次数: 0

摘要

通过采用系统的耕作方法来驯化动物和种植植物,以及几十年前化学肥料的发明和杂交品种的引入带来的绿色革命,只是农业中发生的革命中的一小部分。现在是农业革命4.0的阶段,这是由农业中信息通信技术的使用呈指数增长引发的。在信息通信技术的帮助下,智能农业可以为农业部门面临的挑战提供可能的解决方案,包括缺乏资源、气候变化等。本研究的目的是比较智能耕作方式和农民种植甘薯(Ipomoea batatas)的产量和养分需要量(NPK),作为田间试验,在Thiruvananthapuram地区Nedumangad地块进行。在智能农业实践中,每隔十天通过短信向农民提供种植作物的农业咨询。该报告是根据田地的实时天气参数、作物阶段和初始土壤分析生成的。结果显示,智能耕作地块在施用较少养分的情况下取得了较高的产量。这项技术可以在包括水稻在内的任何作物上复制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Farming for Smart Future of Agriculture
The domestication of animals and plant cultivation through the adoption of systematic farming practices, as well as the green revolution brought on by the invention of chemical fertilizers and the introduction of hybrid varieties a few decades ago, are just a few of the revolutions that have occurred in agriculture. Now it is the phase of agriculture revolution 4.0 triggered by the exponentially increased use of ICT in agriculture. The smart farming with the help of ICT technologies could bring out possible solution to the challenges faced in agriculture sector that includes lack of resources, climate change etc. The objective of the present investigation was to compare the yield and nutrient requirement (NPK) for cultivating sweet potato (Ipomoea batatas) under smart farming and farmer’s practice as a field trial in a farmer’s plot at Nedumangad block of Thiruvananthapuram district. Under smart farming practice, the agro advisory for cultivating the crop was given through SMS to the farmers in every ten days’ interval. The advisory was generated based on the field’s real-time weather parameters, crop stage, and initial soil analysis. Results revealed that smart farming plots recorded higher yields with lower nutrient application. This technology can be replicated in any crop including rice.
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