Review on AI-based Smart Farming of Leafy Vegetables using Hydroponics System

Roopa R Kulkarni, Niranjan S Benakatti, N. N, R. M, S. R.
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Abstract

Agriculture plays a very important role in the development of a nation. By 2050, the human population is predicted to achieve eight.9 billion associate degrees an increased population needs adequate offer of contemporary turnout. This downside is often resolved by sensible agriculture and fashionable implementation exploitation net of Things (IoT) technologies. Hydroponics may be a soil-less cultivation that uses minerals from nutrient resolution. The parameters to be thought-about for hydroponic systems embrace pH scale level, electrical conduction (EC), dissolved atomic number 8 (DO), water temperature, water rate of flow, and water level of nutrient resolution. There are half-dozen varieties of the hydroponic system: nutrient film technique (NFT), drip system, water culture, ebb, and flow system, geophonic and wick.
基于人工智能的叶菜水培智能农业研究进展
农业在一个国家的发展中起着非常重要的作用。到2050年,世界人口预计将达到8。90亿副学士学位,不断增长的人口需要提供足够的当代参与率。这一缺点通常可以通过明智的农业和流行的物联网(IoT)技术来解决。水培法可能是一种无土栽培,利用养分分解产生的矿物质。水培系统需要考虑的参数包括pH刻度水平、电导率(EC)、溶解原子序数8 (DO)、水温、水流速率和营养物分辨率的水位。水培系统有六个品种:营养膜技术(NFT)、滴灌系统、水培系统、潮汐系统、土生系统和灯芯系统。
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