ACHPA: A sensor based system for automatic environmental control in hydroponics

Abstract

The trend towards tunnel farming and hydroponic systems is increasing owing to the climatic changes as well as the need to increase crop yield. Hydroponic is a technique of growing plants without soil. Tunnel farming and hydroponic system requires controlled environmental parameters like temperature, humidity and soil moisture for better production of crops. This paper presents an effective method, named, ACHPA (Automatically Controlled Hydro-Ponic Agriculture) scheme that monitor and controls environmental parameters using sensors and controller. ACHPA provides better environmental control over traditional manual monitoring and controlling, thus yield high-quality crops. Sensor based monitoring and control system regulates the temperature and humidity of the tunnel to yield better. For the sake of saving water, an efficient method of drip irrigation is implemented which delivers water directly to the plants rather than being sprayed on as in conventional farming method. The proposed system here is tested for controlled environment and observations recorded for crop analysis purpose. This makes an effective solution to growing highly efficient, good quality and disease free crop production.

Scaling-up production of cost-effective and eco-friendly bio-fertilizer and its application on Barley green fodder via IoT hydroponic system

“…Furthermore, hydroponics is an effective method for conserving agricultural water, used pesticides, and fertilizers. So, there are many plants, including vegetables [ 25 , 42 , 43 ] such as onion, cucumbers, and lettuces, as well as different varieties of sorghum [ 44 ] that have been grown hydroponically with the manual management of human and/or computer. However, IoT is now being used to control hydroponic systems via mobile applications, eliminating the need for human or/and computer interaction [ 22 , 23 ].…”

“…However, IoT is now being used to control hydroponic systems via mobile applications, eliminating the need for human or/and computer interaction [ 22 , 23 ]. Because of the wireless sensors (such as humidity, water level, pH, and temperature) and monitoring tools that are connected to a web network, smart hydroponics may be remotely managed in real time to produce crops of desired quality and quantity [ 24 , 43 , 44 ]. Hydroponic green fodder is considered to be such an ideal way for planting seeds with high protein content and metabolic energy that is easily digestible by farm animals.…”

“…Barley is an important raw resource for the feed market, and it is widely used for farm animal nutrition in the form of dry grains as well as sprouts. However, because hydroponically sprouted barley stimulates enzymes that convert the grain’s starch, protein, and lipids into simpler forms, it was preferred over dried seeds in many countries [ 43 , 44 ].…”

Smart Hydroponic Greenhouse (Sensing, Monitoring and Control) Prototype Based on Arduino and IOT

“…Based on the sensing measurments from the monitoring system that transmitted via IOT to presented on firebase plateform, a validation and evaluation of data were done to create an full automated control system for hydroponic greenhouse in both NFT and DFT systems. [21,26,27] investigated the use of an electronic sensors, Internet-of-Tings (IoT), microcontroller boards implemented to monitor the microclimate, automatic environmental control and cultivation process for hydroponic. The sensor reading is collected into a database to use later for training machine learning models and the development of intelligence automated indoor micro-climate horticulture.…”

“…Sensors such as DHT 11 and DHT 22 have been used for measuring air temperature and relative humidity;LDR module and TSL 2561 for estimating light intensity; waterproof temperature for recording the water temperature; TDS and pH kit sensors for measuring EC and pH of solution respectively. IoT allows for machine to machine interaction and controlling the hydroponic system autonomously and intelligently employing deep neural networks [9][10][11][12][13][14][15][16][17][18][19][20][21].…”