scholarly journals Improved model for studying hydrological process in the field-to-filed irrigation system

2022 ◽  
Author(s):  
Arash Ebadi ◽  
Omid Raja ◽  
Hamed Ebrahimian ◽  
Mohammad Reza Yazdani ◽  
Vahid Rezaverdinejad
Keyword(s):  
Irrigation System ◽  
Hydrological Process ◽  
Improved Model

scholarly journals Estimation of Potato Yield Using Satellite Data at a Municipal Level: A Machine Learning Approach

2020 ◽  
Vol 9 (6) ◽  
pp. 343 ◽  
Author(s):  
Pablo Salvador ◽  
Diego Gómez ◽  
Julia Sanz ◽  
José Luis Casanova
Keyword(s):  
Machine Learning ◽  
Support Vector Machine ◽  
Mean Squared Error ◽  
Irrigation System ◽  
Meteorological Data ◽  
Potato Yield ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Improved Model ◽  
Municipal Level

Crop growth modeling and yield forecasting are essential to improve food security policies worldwide. To estimate potato (Solanum tubersum L.) yield over Mexico at a municipal level, we used meteorological data provided by the ERA5 (ECMWF Re-Analysis) dataset developed by the Copernicus Climate Change Service, satellite imagery from the TERRA platform, and field information. Five different machine learning algorithms were used to build the models: random forest (rf), support vector machine linear (svmL), support vector machine polynomial (svmP), support vector machine radial (svmR), and general linear model (glm). The optimized models were tested using independent data (2017 and 2018) not used in the training and optimization phase (2004–2016). In terms of percent root mean squared error (%RMSE), the best results were obtained by the rf algorithm in the winter cycle using variables from the first three months of the cycle (R2 = 0.757 and %RMSE = 18.9). For the summer cycle, the best performing model was the svmP which used the first five months of the cycle as variables (R2 = 0.858 and %RMSE = 14.9). Our results indicated that adding predictor variables of the last two months before the harvest did not significantly improved model performances. These results demonstrate that our models can predict potato yield by analyzing the yield of the previous year, the general conditions of NDVI, meteorology, and information related to the irrigation system at a municipal level.

scholarly journals Daily soil temperature modeling improved by integrating observed snow cover and estimated soil moisture in the U.S. Great Plains

2021 ◽  
Author(s):  
Haidong Zhao ◽  
Gretchen F. Sassenrath ◽  
Mary Beth Kirkham ◽  
Nenghan Wan ◽  
Xiaomao Lin
Keyword(s):  
Soil Temperature ◽  
Great Plains ◽  
Hydrological Modeling ◽  
Soil Surface ◽  
Temperature Data ◽  
Hydrological Process ◽  
Near Surface ◽  
Temperature Modeling ◽  
Improved Model ◽  
The U.S

Abstract. Soil temperature data are vital for explaining many biological, physical, and hydrological process in soil surface layer and in near surface atmosphere. However, soil temperature data are limited in the U.S. Great Plains. In this study we developed a model for predicting daily soil temperature at the 10 cm depth across Nebraska, Kansas, Oklahoma, and parts of Texas. This improved model was developed and tested by using 87 weather stations. Our results indicated that our improved model, on average, is able to predict daily soil temperature 0.6 oC better than original methods for all stations in the U.S. Great Plains. This improved model can provide us a daily soil temperature modeling tool that overcomes the deficiencies of soil temperature data used in applications for climatic changes, hydrological modeling, and winter wheat production in the U.S. Great Plains.

An Improved Model for Short-Term Traffic Forecasting Considering Weather Impacts

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Xinchao Chen ◽  
Si Qin ◽  
Jian Zhang ◽  
Huachun Tan ◽  
Yunxia Xu ◽  
...  
Keyword(s):  
Short Term ◽  
Traffic Forecasting ◽  
Improved Model ◽  
Weather Impacts

To the issue of water treatment by hydrocyclone on the systems of the combined irrigation

2020 ◽  
Vol 0 (2) ◽  
pp. 21-25
Author(s):  
Nikolay Dubenok ◽  
Andrey Novikov ◽  
Sergei Borodychev ◽  
Maria Lamskova
Keyword(s):  
Water Treatment ◽  
Organic Compounds ◽  
Irrigation Water ◽  
Irrigation System ◽  
Petroleum Products ◽  
Cylindrical Part ◽  
Agricultural Landscapes ◽  
Treatment Unit ◽  
Drain Pipe ◽  
Irrigation Network

At the stage of water treatment for irrigation systems, the efficiency capture coarse and fine mechanical impurities, as well as oil products and organic compounds affects the reliability of the equipment of the irrigation network and the safety of energy exchange processes in irrigated agricultural landscapes. The violation of work irrigation system can cause disruptions in irrigation schedules of agricultural crops, crop shortages, degradation phenomena on the soil and ecological tension. For the combined irrigation system, a water treatment unit has been developed, representing a hydrocyclone apparatus with a pipe filter in the case. For the capacity of 250 m3/h the main geometrical dimensions of hydrocyclone have been calculated. To organize the capture petroleum products and organic compounds, it has been proposed a modernization of a hydrocyclone unit, consisting in dividing the cylindrical part of the apparatus into two section. The first is section is for input irrigation water, the second one is for additional drainage of clarified irrigation water after sorption purification by the filter, placed on the disk and installed coaxially with the drain pipe and the pipe filter.

Spray irrigation on dairy pastures - efficient or not?

2006 ◽  
pp. 177-181
Author(s):  
S.M. Thomas ◽  
D. Bloomer ◽  
R.J. Martin ◽  
A. Horrocks
Keyword(s):  
Irrigation System ◽  
Groundwater Resources ◽  
Dairy Farmers ◽  
Large Variability ◽  
Irrigation Application ◽  
Irrigation Uniformity ◽  
Survey Results ◽  
Spray Irrigation ◽  
Use Efficiency ◽  
Distribution Uniformity

Applying water efficiently is increasingly important for dairy farmers and other users of surface and groundwater resources to maintain sustainable production. However, irrigation is rarely monitored. We used a questionnaire survey and measurements of five spray irrigation systems working in normal farm conditions to make observations on how efficiently irrigation is being managed. Survey results from 93 dairy farmers showed that, although the farmers believe they know how much water is being applied during irrigation, only 60% make measurements, and about 18% measure irrigation uniformity. Catch-can measurement of irrigation application depth for the different spray systems indicated large variability in application depths during irrigation, and field distribution uniformity ranged greatly between the different systems, decreasing in the order of centre pivots >travelling irrigators> K-line. Changes in irrigation system settings were sometimes made without considering application depths or uniformity. If our five case studies are typical, they may explain the large range of seasonal irrigation amounts recorded in the survey. We recommend that farmers monitor irrigation application depths and uniformity to help manage irrigation water efficiently and to help them estimate the value of irrigation to their enterprise. Keywords: distribution uniformity, water use efficiency, catch cans

Wirelessly Controlled Irrigation System

2014 ◽  
Vol 10 (2) ◽  
pp. 89-99
Author(s):  
Zain-Aldeen S. A.Rhman
Keyword(s):  
Irrigation System ◽  
Controlled Irrigation

ESTIMATION OF CONSUMPTIVE USE OF POTATO CROP PIANTED UNDER DRIP IRRIGATION SYSTEM BY USING SWRT TECHNOLOGY

2020 ◽  
Vol 10 (1) ◽  
pp. 271-282
Author(s):  
J.N. Abedalrahman ◽  
R.J. Mansor ◽  
D.R. Abass
Keyword(s):  
Water Consumption ◽  
Drip Irrigation ◽  
Soil Depth ◽  
Irrigation System ◽  
Potato Crop ◽  
Block Design ◽  
Organic Fertilizer ◽  
Control Treatment ◽  
Drip Irrigation System ◽  
Spring Season

A field experiment was carried out in the field of the College of Agriculture / University of Wasit, located on longitude  45o   50o   33.5o   East and latitude 32o 29o 49.8o North, in Spring season of the agricultural season 2019, in order to estimate the water consumption of potato crop using SWRT technology and under the drip irrigation system. The experiment was designed according to Randomized Complete Block Design (RCBD) with three replications and four treatments that include of the SWRT treatment (the use of plastic films under the plant root area in an engineering style), and the treatment of vegetal fertilizer (using Petmos), organic fertilizer (sheep manure), and the control treatment . Potato tubers (Solanum tuberosum L.)  var. Burin was planted for spring season on 10/2/2019 at the soil depth of 5-10 cm. The highest reference water consumption for the potato crop during the season was calculated by Najeeb Kharufa, which was 663.03 mm. The highest actual water consumption for the potato crop during the season for the control treatment was 410.1 mm. The results showed increase in the values of the crop coefficient (Kc) in the stages of tubers formation and tubers filling stage as compared to the vegetative and ripening stages, ranged from 1.37-1.92 for the two stages of tubers formation and tubers filling. The SWRT treatment gave the highest water use efficiency during the season, was 3.46 kg m-3 .

GTS Allocation Of IEEE 802.15.4 Used in Irrigation System

2011 ◽  
Vol 3 (2) ◽  
pp. 101-105
Author(s):  
Prof. A.K. Patil Prof. A.K. Patil ◽  
◽  
Prof.A.J.Patil Prof.A.J.Patil
Keyword(s):  
Ieee 802.15.4 ◽  
Irrigation System
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