Proposal for Architecture for Precision Agriculture Supported in IoT for an Efficient Automatic Irrigation System

2021 ◽  
pp. 27-38
Author(s):  
Edwar Velarde Allazo ◽  
Edgar Acuña Melo ◽  
José Aranibar Pumacota
Keyword(s):  
Precision Agriculture ◽  
Irrigation System

scholarly journals Relationship between Spatial Variability Pattern of Wheat Yield and Soil Properties

2018 ◽  
pp. 1-14
Author(s):  
Alidad Karami ◽  
Sadegh Afzalinia
Keyword(s):  
Spatial Structure ◽  
Soil Properties ◽  
Soil Ph ◽  
Precision Agriculture ◽  
Interpolation Method ◽  
Irrigation System ◽  
Wheat Yield ◽  
Gaussian Model ◽  
Variogram Model ◽  
Clay Percentage

Aims: Determining effects of spatial variation of some soil properties on wheat quantity and quality variation in order that proper soil and inputs management can be applied for sustainable wheat production. Study Design: Analyzing data of a field with center pivot irrigation system and uniform management using the geostatistical method. Place and Duration of Study: Soil and Water Research Department, Fars Agricultural and Natural Resources Research and Education Center, Darab, Iran, from September 2013 to February 2014. Methodology: Wheat yield data harvested by class lexion 510 combine from 25 m2 plots (11340 locations) with the corresponding geographical location were used. Besides, soil properties and wheat yield were measured at 36 randomly selected points on the field. Interpolation of parameters was predicted with the best semi-variogram model using kriging, inverse distance weighted (IDW), and cokriging methods. Results: Results showed that wheat yield varied from 2 to 10.08 tons per hectare. Cokriging with cofactor of kernel weight interpolator had more accuracy compared to the combine default interpolator (kriging). A logical, linear correlation was found between different parameters. The best variogram model for pH, OC, and ρb was exponential, for EC, TNV, SP, soil silt and clay percentage was spherical, and for soil, percentage sand was Gaussian model. Data of soil sand, silt, and clay percentage, EC, TNV, and SP had strong spatial structure, and soil pH, OC, and ρb had moderate spatial structure. The best interpolation method for soil pH, EC, sand and silt percentage was kriging method; while, for TNV, SP, OC, ρb, and clay percentage was IDW. Conclusion: There was a close relationship between wheat yield variation and changes in the soil properties. Soil properties and wheat yield distribution maps provided valuable information which could be used for wheat yield improvement in precision agriculture.

scholarly journals Practical Design of a WSN to Monitor the Crop and its Irrigation System

2019 ◽  
Vol 10 (4) ◽  
pp. 35 ◽  
Author(s):  
Laura García ◽  
Lorena Parra ◽  
Jose M. Jimenez ◽  
Jaime Lloret ◽  
Pascal Lorenz
Keyword(s):  
Precision Agriculture ◽  
Wireless Mesh Network ◽  
Irrigation System ◽  
Mesh Network ◽  
Sensors And Actuators ◽  
Wireless Network Design ◽  
Wireless Mesh ◽  
Practical Design ◽  
Smart Agriculture ◽  
Iot Devices

Due to environmental problems, such as the lack of water for irrigation, each day it becomes more necessary to control crops. Therefore, the use of precision agriculture becomes more evident. When it comes to making decisions on crops, it is evident the need to apply the concept of Smart Agriculture, that focuses on utilizing different sensors and actuators. As the number of IoT devices used in agriculture grows exponentially, it is necessary to design the implemented network so that the data is transmitted without problems. The present work shows a wireless network design, in which we use the information collected by the sensors of a Wireless Sensor Network (WSN), and a Wireless Mesh Network (WMN) formed by Access Points (AP) to transmit the data to a network that monitors agriculture for smart irrigation. In addition, through simulations we have presented a proposal of the maximum number of nodes that must be connected to an AP so that the network is efficient.

The Design of Intelligent Water-Saving Irrigation System for Greenhouse

2011 ◽  
Vol 121-126 ◽  
pp. 4826-4831
Author(s):  
Fu Gang Wang ◽  
Li Jia Xu ◽  
Chun Long Du ◽  
Yang Yang ◽  
Ye Sen Li
Keyword(s):  
Water Consumption ◽  
Radio Frequency Identification ◽  
Precision Agriculture ◽  
Irrigation System ◽  
Water Saving ◽  
High Yield ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
Control Interface ◽  
Frequency Identification

In the premise of ensuring the high yield of the crops in greenhouse, how to save water has became a research focus in precision agriculture. An intelligent water-saving irrigation system based on fuzzy control is designed in the paper. By the proposed system, the best water consumption can be calculated to meet the goal of high yield but low water-using. In the system, the soil moisture sensor TDR-3 is used to measuring the soil humidity data, whiles the radio frequency identification (RFID) modules, i.e., nRF905, is applied to transmit the data wirelessly. The control interface based on LABVIEW on PC is designed as well. Thus the goal of saving water consumption and querying historical data can be accomplished.

scholarly journals Controlled sprinkler irrigation system for agricultural plant cultivation

2021 ◽  
Vol 922 (1) ◽  
pp. 012046
Author(s):  
P Satriyo ◽  
I S Nasution ◽  
D V Della
Keyword(s):  
Soil Moisture ◽  
Precision Agriculture ◽  
Water Distribution ◽  
Industrial Revolution ◽  
Irrigation System ◽  
Water Discharge ◽  
Sprinkler Irrigation ◽  
Agricultural Product ◽  
Agricultural Plant ◽  
Controlling System

Abstract In recent decades, precision agriculture and smart farming have become promising issues particularly in the industrial revolution era 4.0. The main objective of this presented paper is to apply the optimized controlling system developed by means of Internet of things for controlling sprinkler irrigation systems used for agricultural product cultivation where in this study, we used shallot plants. The controlling systems were established by designing hardware and software used to monitor water distribution in sprinkler irrigation for onion plants during five initial days of cultivation. The result showed that controlled irrigation can optimize and monitor all plant growth indicators namely soil moisture, temperature, air humidity and water discharge and be able to carry out watering according to the desired level of soil moisture. It may conclude that a controlled sprinkler irrigation system can be applied as a part of precision agriculture practice in order to enhance production and sustainable agriculture.

scholarly journals Assessing the financial and environmental impacts of precision irrigation in a humid climate 

2019 ◽  
Vol 46 (No. 1) ◽  
pp. 43-52 ◽  
Author(s):  
Daniel El Chami ◽  
Jerry W. Knox ◽  
André Daccache ◽  
Edward Keith Weatherhead
Keyword(s):  
Precision Agriculture ◽  
Energy Savings ◽  
Irrigation System ◽  
Cost Benefit ◽  
Added Value ◽  
Soil Variability ◽  
Humid Climate ◽  
Water Savings ◽  
Additional Equipment ◽  
Precision Irrigation

Precision agriculture is increasingly used where in-field spatial variability exists; however, the benefits of its use in humid climates are less apparent. This paper reports on a cost-benefit assessment of precision irrigation with variable rate technique (VRI) versus conventional irrigation, both compared to rainfed production, using a travelling hose-reel irrigator fitted with a boom on onions in eastern England. Selected environmental outcomes including water savings and CO<sub>2</sub>e emissions are evaluated. The modelled precision irrigation system, which responds to soil variability, generates better environmental outcomes than the conventional system in terms of water savings and reduced CO<sub>2</sub>e emissions (22.6% and 23.0% lower, respectively). There is also an increase in the ‘added value’ of the irrigation water used (£3.02/m<sup>3</sup> versus £2.36/m<sup>3</sup>). Although precision irrigation leads to significant financial benefits from water and energy savings, these alone do not justify the additional equipment investment costs. However, any changes in yield or quality benefits, equipment costs or greater soil variability than on this site would make investment in precision irrigation more viable. 

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