Abstract
Due to rapid industrialization, arable land is decreasing. Hydroponic farming technique includes producing fruits, flowers and vegetables especially in the areas where gardening is challenging due to unsuitable soil. Hydroponic farming facilitates soil-less gardening. In large greenhouse operations, hydroponics is used to grow various exotic crops. The smart farm can be made fully automated, log multiple sources of data and capable of wireless control. This article suggest work-in-progress model for smart farming with hydroponic style by linking a smart sensing system and smart irrigation system through wireless communication technology. The system will real-time monitor the temperature , humidity changes, moisture content, nutrient content, pH of the water, fine flow required and efficient use of water resources that plays a vital role in farming activities. Remote sensing humidity for farm water will be measured on the basis of continuous, multi point and accurate moisture values. A Decision Support System implemented with this approach will facilitate the farmers with remote monitoring of farms.
Highlights
Rapid industrialization of the global economy and alarmingly increasing population compels countries like India to upgrade their agricultural techniques to meet the needs of the people
Soil less agricultural techniques like hydroponics [1] have gained a lot of importance over the years, one of the most popular soil less agricultural technique in which the crops are grown in nutrient solutions is gradually being employed for commercial agriculture
This paper presents an efficient hydroponic nutrient solution control system whose system parameters are optimized using genetic algorithm
Summary
Rapid industrialization of the global economy and alarmingly increasing population compels countries like India to upgrade their agricultural techniques to meet the needs of the people. Design of Efficient Hydroponic Nutrient Solution Control System using Soft Computing based Solution Grading was proposed [2] which discusses that as, the period of pH level started to change, the effects of pH adjuster solution to the water solution are determined. A development of an automatic microcontroller system for Deep Water Culture (DWC)," in Signal Processing and its Applications (CSPA) discuss a novel mamdani fuzzy inference system (FIS) that grades the quality of solution for a given set of control parameters has been used as its fitness function [4]. The designed algorithm demonstrated better convergence efficiency and resource utilization compared to conventional error function based nutrient solution control systems This technique supplies the nutrient needed by plant through the water solution [5]. Deep water culture (DWC) is one of the hydroponic system techniques that prepare the nutrient in water solution into the plant.
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