Wireless Irrigation System for Agricultural Field

2017 ◽  
pp. 293-304
Author(s):  
Rajesh Singh ◽  
Anita Gehlot ◽  
Bhupendra Singh ◽  
Sushabhan Choudhury
Keyword(s):  
Irrigation System ◽  
Agricultural Field

scholarly journals Embedded Linux based agricultural field monitoring and automation using IoT

2018 ◽  
Vol 7 (2.7) ◽  
pp. 774
Author(s):  
Bhrugumalla L V S Aditya ◽  
K Subrahmanyam
Keyword(s):  
Liquid Crystal ◽  
Real Time ◽  
Irrigation System ◽  
Liquid Crystal Display ◽  
Main Idea ◽  
Embedded Linux ◽  
Field Monitoring ◽  
Agricultural Field ◽  
Manual Operation

The main idea of this venture is to have an irrigation system which is self-controlled .it is also observed that the setup is available for a low price. Wi-Fi technology is used to design this setup. It also aims to reduce manual operation in the agricultural field. The changes taking place are noted. The results obtained are further used to develop the field. As the whole setup is online the readings and values are obtained in real-time a Liquid crystal display is used to know the readings of the conditions.  

scholarly journals Automated Smart Irrigation System Based on IoT

2020 ◽  
Author(s):  
Bhavani G ◽  
Malathi S
Keyword(s):  
Water Level ◽  
Water Flow ◽  
Irrigation System ◽  
Water Usage ◽  
Agricultural Field ◽  
Excess Water ◽  
Crop Field ◽  
Single Field ◽  
Water Scarce ◽  
Exact Amount

India is an agricultural country with variety of crops. Water flow to the crop field is found important with accurate level. Multiple crops can be grown in single field with accurate water level. Water level need to be controlled due to water scarcity. Exact amount of water can be made to flow in the field through IoT techniques. Inorder to bring efficient crop growth and to avoid excess water flow, automation in agriculture can be done. Automation in agriculture can reduce excess water usage in water scarce and dry area. Automation is done with sensors and various IoT techniques to improve water level in agricultural field.

scholarly journals Start-up of a microalgae-based treatment system within the biorefinery concept: from wastewater to bioproducts

2018 ◽  
Vol 78 (1) ◽  
pp. 114-124 ◽  
Author(s):  
Enrica Uggetti ◽  
Joan García ◽  
Juan Antonio Álvarez ◽  
María Jesús García-Galán
Keyword(s):  
Irrigation System ◽  
Wastewater Reuse ◽  
Agricultural Runoff ◽  
Treatment System ◽  
Added Value ◽  
Wastewater Management ◽  
Experimental Plant ◽  
Agricultural Field ◽  
Absorption Column ◽  
Start Up

Abstract Within the European project INCOVER, an experimental microalgae-based treatment system has been built for wastewater reuse and added-value products generation. This article describes this new experimental plant and the start-up stage, starting from the new design of three semi-closed horizontal photobioreactors with low energy requirements for microalgae cultivation (30 m3 total), using agricultural runoff and urban wastewater as feedstock. The inflow nutrients concentration is adjusted to select cyanobacteria, microalgae able to accumulate polyhydroxybutyrates, which can be used for bioplastics production. Part of the harvested biomass is used as substrate for anaerobic co-digestion (AcoD) with secondary sludge to obtain biogas. This biogas is then cleaned in an absorption column to reach methane concentration up to 99%. The digestate from the AcoD is further processed in sludge wetlands for stabilization and biofertilizer production. On the other hand, treated water undergoes ultrafiltration and disinfection through a solar-driven process, then it is pumped through absorption materials to recover nutrients, and eventually applied in an agricultural field to grow energy crops by means of a smart irrigation system. This plant presents a sustainable approach for wastewater management, which can be seen as a resource recovery process more than a waste treatment.

scholarly journals A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

Water ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 38 ◽  
Author(s):  
Juan Ramírez-Cuesta ◽  
José Mirás-Avalos ◽  
José Rubio-Asensio ◽  
Diego Intrigliolo
Keyword(s):  
Information And Communication Technologies ◽  
Mean Squared Error ◽  
Irrigation System ◽  
Crop Coefficient ◽  
Irrigation Scheduling ◽  
Irrigation Season ◽  
Agricultural Field ◽  
Crop Water ◽  
Water Demands ◽  
Crop Coefficients

Advances in information and communication technologies facilitate the application of complex models for optimizing agricultural water management. This paper presents an easy-to-use tool for determining crop water demands using the dual crop coefficient approach and remote sensing imagery. The model was developed using Python as a programming language and integrated into an ArcGIS (geographic information system) toolbox. Inputs consist of images from satellites Landsat 7 and 8, and Sentinel 2A, along with data for defining crop, weather, soil type, and irrigation system. The tool produces a spatial distribution map of the crop evapotranspiration estimates, assuming no water stress, which allows quantifying the water demand and its variability within an agricultural field with a spatial resolution of either 10 m (for Sentinel) or 30 m (for Landsat). The model was validated by comparing the estimated basal crop coefficients (Kcb) of lettuce and peach during an irrigation season with those tabulated as a reference for these crops. Good agreements between Kcb derived from both methods were obtained with a root mean squared error ranging from 0.01 to 0.02 for both crops, although certain underestimations were observed resulting from the uneven crop development in the field (percent bias of −4.74% and −1.80% for lettuce and peach, respectively). The developed tool can be incorporated into commercial decision support systems for irrigation scheduling and other applications that account for the water balance in agro-ecosystems. This tool is freely available upon request to the corresponding author.

scholarly journals Smart Irrigation System with Monitoring and Controlling using Iot

2020 ◽  
Vol 9 (4) ◽  
pp. 1373-1376
Keyword(s):  
Water Management ◽  
Mobile Application ◽  
Irrigation System ◽  
Wireless Sensor ◽  
Management Systems ◽  
Variable Rate ◽  
Agricultural Field ◽  
The Status ◽  
Communication Module ◽  
Micro Controller Unit

Water management systems to be efficient is a major concern in many agricultural field. This paper deals with the control of an irrigation system by designing the variable rate irrigation with the help of a wireless sensor network, and software for real-time in-field sensing are implemented . This irrigation system is made of two various sensors and a micro-controller unit with an embedded cloud communication module. The communication among the sensors, microcontroller, and farmer is established by their respective Login ID using Internet of Things (IoT). In this paper the farmer can communicate to this irrigation system through android mobile application. The farmer can check the status of their land at any time using the app or webpage.

Automatic irrigation system with rain fall detection in agricultural field

Measurement ◽  
2020 ◽  
Vol 156 ◽  
pp. 107552
Author(s):  
S.R. Barkunan ◽  
V. Bhanumathi ◽  
V. Balakrishnan
Keyword(s):  
Irrigation System ◽  
Fall Detection ◽  
Agricultural Field ◽  
Rain Fall

Smart Irrigation System in Agricultural Field with Blynk APP

2020 ◽  
pp. 145-154
Author(s):  
Anita Gehlot ◽  
Rajesh Singh ◽  
Praveen Kumar Malik ◽  
Lovi Raj Gupta ◽  
Bhupendra Singh
Keyword(s):  
Irrigation System ◽  
Agricultural Field

scholarly journals Ring Irrigation System (RIS) design through customer preference representation

2018 ◽  
Vol 154 ◽  
pp. 01116
Author(s):  
Infandra I.Z. Ridwan ◽  
Suchada Rianmora ◽  
Siwat Werawatganon
Keyword(s):  
Root Zone ◽  
Climatic Factors ◽  
Irrigation System ◽  
Soil Conditions ◽  
Agricultural Field ◽  
Factors Affecting ◽  
Water Permeation ◽  
Preference Representation ◽  
Before And After ◽  
Micro Irrigation

In agricultural field, irrigation is one of the most interesting considerations affecting the rate of plant growth and development. Micro-irrigation as the dripping or sprinkle method is one of the irrigation types that applies the small amount of water for fulfilling the humidity requirement. The most important factors affecting the demand of water for plants are soil conditions and effect of climatic factors. With less human labour required, to improve the irrigation method from the recent days, analyzing water used or water permeation automatically through the soil moisture has been raised as the interesting topic. Proposed in this research is the ring irrigation system (RIS) which is introduced as an alternative channel for emitters that drip water directly onto the soil at the plant’s root zone where the soil conditions before and after watering can be quickly detected by the sensors. This RIS can be used for the potted plant, green house, or other small farm fields. Product design and development (PDD) is applied in this research for assisting the designer to understand and create the RIS prototype properly according to the customer’s requirements where the suggested functions obtained will be added and tested.

scholarly journals Applicability of precision weed detection technologies

2013 ◽  
pp. 163-168
Author(s):  
Péter Riczu ◽  
János Tamás
Keyword(s):  
Crop Production ◽  
Plant Protection ◽  
Irrigation System ◽  
Structural Parameters ◽  
Apple Orchard ◽  
Cultivated Plants ◽  
Environmental Damage ◽  
Agricultural Field ◽  
Software Environment ◽  
Weed Detection

In an agricultural field or horticultural plantation, weeds compete with cultivated plants for water and nutrients. The transpirated water by the weeds is needed to be replaced, which saddles surplus costs on the farmer, which could reduce the profitability of crop production. The aim of the precision plant protection system is to protect cultivated plants by applying site-specific technologies and optimized herbicides combination and methods, without environmental damage. The first step of precision weed control is the scouting for weeds. Traditional and modern (passive and active remote sensing) weed surveying technologies are available to detect weeds. The examination was carried out in an intensive apple orchard with drip irrigation system, protected by hail net of the Study and Regional Research Farm of the University of Debrecen near Pallag. The spectral-based weed detection was worked out by the Tetracam ADC broadband multispectral camera and the GreenSeeker 505 vegetation indexmeter. A strong correlation observed between vegetation indices and weed coverage. Based on the collected data, weed maps are created in appropriate software environment, thus the spatial distributions of the weeds are determined. The species level discrimination and the recognition of weed structural parameters were executed based on the 3D point cloud data by Leica ScanStation C10 laser scanner.

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