Drip irrigation research Chifeng Maize variation of soil moisture migration

2015 ◽  
pp. 529-534 ◽  
Author(s):  
Zhou Yu ◽  
Dihan Luo ◽  
Zeyu Liu ◽  
Yong Wang ◽  
Xing Li
Keyword(s):  
Soil Moisture ◽  
Drip Irrigation ◽  
Moisture Migration ◽  
Irrigation Research

scholarly journals Monitoring of soil moisture and irrigation forecast under the condition of drip irrigation in greenhouse

2019 ◽  
Vol 136 ◽  
pp. 07019
Author(s):  
Yuan Wang ◽  
Yangren Wang ◽  
Hao Wang ◽  
Chengqi Gong
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Correlation Coefficient ◽  
Drip Irrigation ◽  
Error Probability ◽  
Soil Moisture Content ◽  
Small Error ◽  
Prediction Errors ◽  
The Mean ◽  
Irrigation Research

The accurate prediction of the soil moisture in greenhouse can improve the accuracy of irrigation forecast, thus saving water and increasing production. In this paper, the monitoring data were obtained from the greenhouse in Agricultural Demonstration Park of Northland Spring, Wuqing District, Tianjin. The soil moisture was predicted based on the GM (1,1) model, and the effect of water-saving and increased production was tested with the results of the economic irrigation research in the same area. The results show that the GM (1,1) model has a higher accuracy of soil moisture prediction. The correlation coefficient (R2) of the predicted value and the measured value is higher than 0.9; the small error probability P is 1; the mean relative prediction errors are all less than 0.1. Therefore, the GM (1,1) model can be used to predict soil moisture content.

scholarly journals Development, yield and quality attributes of sugarcane cultivars fertigated by subsurface drip irrigation

2016 ◽  
Vol 20 (6) ◽  
pp. 525-532 ◽  
Author(s):  
André L. B. de O. Silva ◽  
Regina C. M. Pires ◽  
Rafael V. Ribeiro ◽  
Eduardo C. Machado ◽  
Gabriel C. Blain ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Drip Irrigation ◽  
Field Capacity ◽  
Soluble Solids ◽  
Subsurface Drip Irrigation ◽  
Yield And Quality ◽  
Crop Development ◽  
Crop Cycle ◽  
Subsurface Drip ◽  
Solids Content

ABSTRACT The present study aimed to evaluate the development, yield and quality of four sugarcane cultivars fertigated by subsurface drip system. The experiment was carried out in Campinas-SP, Brazil, from January 2012 to November 2013, with the cultivars SP79-1011, IACSP94-2101, IACSP94-2094 and IACSP95-5000 subjected to daily irrigations. The irrigations depths were applied to bring soil moisture to field capacity. Soil moisture was monitored using soil moisture probes. Samples were collected along the crop cycle in order to evaluate crop development and yield, at the end of the first and second ratoons. Stalk height showed good correlation for the estimation of crop yield, with R2 equal to or higher than 0.96. The cultivar IACSP95-5000 showed the highest yield in the first ratoon. In the second ratoon the highest yield was observed in IACSP94-2101, followed by IACSP95-5000 and SP79-1011. Considering the yield results associated with the technological analysis, such as soluble solids content and apparent sucrose, the cultivar IACSP95-5000 excelled the others in the cultivation under subsurface drip irrigation.

scholarly journals Desarrollo de un sistema inalámbrico escalable de medición de humedad del suelo en un cultivo de vid

2020 ◽  
pp. 20-30
Author(s):  
Ortega-Corral César ◽  
B. Ricardo Eaton-González ◽  
Florencio López Cruz ◽  
Laura Rocío, Díaz-Santana Rocha
Keyword(s):  
Soil Moisture ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Precision Agriculture ◽  
Drip Irrigation ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless System ◽  
Different Depths

We present a wireless system applied to precision agriculture, made up of sensor nodes that measure soil moisture at different depths, applied to vine crops where drip irrigation is applied. The intention is to prepare a system for scaling, and to create a Wireless Sensor Network (WSN) that communicates by radio frequency with a base station (ET), so that the gathered data is stored locally and can be sent out an Internet gateway.

Drip irrigation affects N2O emission differently depending on soil moisture status in an intensive vegetable production system

2021 ◽  
Author(s):  
Xiuchun Xu ◽  
Di Wu ◽  
Wei Zhang ◽  
Bang Ni ◽  
Xuan Yang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Drip Irrigation ◽  
Production System ◽  
Nitrate Content ◽  
Site Preference ◽  
Vegetable Production ◽  
Flood Irrigation ◽  
Tomato Production ◽  
Production Region ◽  
Soil Moisture Status

<p>Plastic-shed vegetable production system is becoming the main type of vegetable production in China, while excessive irrigation and fertilization input lead to significant N loss by leaching, runoff, and gaseous N. The current study established a field experiment to investigate the effects of drip irrigation and optimized fertilization on vegetable yield, water and fertilizer efficiencies and N<sub>2</sub>O emission in a typical intensive plastic-shed tomato production region of China. The treatments include CK (no fertilization, flood irrigation), FFP (farmers’ conventional fertilization, flood irrigation), OPT1 (80% of FFP fertilization, flood irrigation), OPT2 (80% of FFP fertilization, drip irrigation). N<sub>2</sub>O isotopocule deltas, including δ<sup>15</sup>N<sup>bulk</sup>, δ<sup>18</sup>O and SP (the <sup>15</sup>N site preference in N<sub>2</sub>O), have been used to investigate microbial pathways of N<sub>2</sub>O production under different treatments. Our results showed: i) optimized fertilization and drip irrigation significantly improved the fertilizer and water use efficiency without reducing tomato yield, ii) compared with flood irrigation, drip irrigation decreased soil WFPS and soil ammonium content, but increased soil nitrate content. When soil moisture was higher than 60%WFPS, drip irrigation led to a decrease of N<sub>2</sub>O emission with lower N<sub>2</sub>O SP signature observed than that of food irrigation, suggesting a reduction of denitrification derived N<sub>2</sub>O. In contrast, drip irrigation significantly increased N<sub>2</sub>O emission and N<sub>2</sub>O SP value when soil moisture status was lower than 55% WFPS, which may be due to the enhanced nitrification or fungal denitrification derived N<sub>2</sub>O.</p>

Sign in / Sign up

Export Citation Format

Share Document