Effects of nitrogen application rate and irrigation regime on growth, yield, and water-nitrogen use efficiency of drip-irrigated winter wheat in the North China Plain

Response of growth, yield and water use efficiency of winter wheat to different irrigation methods and scheduling in North China Plain

Drip irrigation and nitrogen management for improving crop yields, nitrogen use efficiency and water productivity of maize-wheat system on permanent beds in north-west India

Sub-surface drip fertigation with conservation agriculture in a rice-wheat system: a breakthrough for addressing water and nitrogen use efficiency.

Evapotranspiration, crop coefficient and yield for drip-irrigated winter wheat with straw mulching in North China Plain

A field experiment was conducted for 3 consecutive years (2007–2009) to study the effects of two different irrigation methods, that is, level-basin irrigation (BI) and drip irrigation (DI), and different treatment levels on crop growth, yield, and WUE of winter wheat (Triticum aestivum L.) in the North China Plain (NCP). The results indicate that irrigation methods and treatment levels had significant effects on crop growth and yield of winter wheat. Irrigation amounts significantly influenced plant heights, LAI, and winter wheat grain yields (P < 0.05 level) for both irrigation methods. Further, the DI method significantly improved yield and WUE compared with the BI method (P < 0.05 level) under conditions of deficit irrigation. Without irrigation system investment consideration, crop water productivity was highest when DI was used and irrigations were scheduled when soil water was depleted to 60 and 50 % of field capacity.

Impact of drip and level-basin irrigation on growth and yield of winter wheat in the North China Plain

The invention provides an integrated automatic control system for underground dripping irrigation water, fertilizer and medicine and a method thereof, which belongs to the water saving irrigation field, wherein, the system comprises a data input system, a sensor device, a master control device and an output device; the method comprises the following steps: A. initialization data of crops is set; B. a plurality of parameters related to cropland irrigation are acquired; C. a plurality of acquired parameters related to cropland irrigation are combined with the initialization data, and irrigation decision-making software is used for analysis and calculation; D. instructions are executed according to analysis and calculation results. The invention utilizes modern information technologies to grasp mutation of cropland environmental parameters, and has the advantages of high automatic control degree of scientific irrigation and drip irrigation and effective lightening of labor intensity.

Automatic control system and method for trickle irrigation of water, fertilizer and drug underground

The invention discloses a channel flow meter and a measuring method thereof. The channel flow meter comprises a shell body, a leveling instrument, a protractor, a thin thread, a punching ball and a graph of 'angle-flow velocity' relations. The measuring method comprises the steps of disposing the flow meter on a beam; submerging the punching ball in water; adjusting the leveling instrument to lead the 180 DEG line of the protractor to parallel the horizontal plane; reading the angle between the thin thread and the vertical direction when the punching ball, under the hydraulic force of the channel water flow, reaches a new balance point and keeps invariable; and reverse-checking the graph of 'angle-flow velocity' relations to obtain the velocity of the channel water flow, so as to obtain the channel flow by calculation. The channel flow meter and the measuring method have the advantages of simple structure, convenient operation, precise measurement, small head loss during the measurement process, suitability for on-site test at field channels, and convenience for popularization in irrigation areas.

Channel flow measuring device and method thereof

Lycium barbarum has rich medicinal value and is an important medicinal and economic tree species in China, with an annual output value of 21 billion RMB. The yield and the quality of Lycium barbarum dry fruit are the crucial issues that affect the cultivation of Lycium barbarum and the income of farmers in the Ningxia water shortage area. According to the local acquisition standard of Lycium barbarum, the amount of dry fruit per 50 g (ADF-50) is the key factor in evaluating the quality and determining the purchase price. In order to optimize the irrigation lower limit of automatic drip irrigation system with multiple objectives, the yield and ADF-50 are selected to be optimal objectives. The lower irrigation limits of the automatic drip irrigation system in the full flowering stage, the summer fruiting stage, and the early autumn fruiting stage are optimized by the third generation of non-dominated sorting genetic algorithm (NSGA-III) in this paper. The mathematical relationships between irrigation lower limit and irrigation quantity, irrigation amount, yield, and ADF-50 were established by the water balance model, water production function (WPF), and artificial neural network model (ANN), respectively. The accuracy of the water balance model and ANN were verified by experiments. The experiments and optimization results show that: (1) irrigation quantity and ADF-50 calculated by the water balance model and ANN are accurate, and their Nash–Sutcliffe coefficient are 0.83 and 0.66; (2) In a certain range of irrigation quantity, ADF-50 and Lycium barbarum yield show competitive relation. By solving the NSGA-III optimization model, the lower irrigation limits schemes, which tend to different objectives, and a compromise scheme can be obtained; (3) Compared with the original lower limit of irrigation water, the compromise scheme’s yield and quality of Lycium barbarum are improved 10.7% and 8.8% respectively. The results show that the automatic drip irrigation system’s lower irrigation limit scheme optimized by the model can improve not only the yield but also the quality of Lycium barbarum. This provides a new idea for establishing the irrigation lower limit of the automatic drip irrigation system in the Lycium barbarum planting area.

/pdf/multi-objective-lower-irrigation-limit-simulation-and-36cgxpgy.pdf

Multi-Objective Lower Irrigation Limit Simulation and Optimization Model for Lycium barbarum Based on NSGA-III and ANN

The invention relates to pipe network constant-pressure intelligent control method adopting a control method for combing a pressure-regulating tank and a variable-frequency pump to control the work of the pressure-regulating tank and the rotation-speed regulation of the variable-frequency pump by converting the dynamic change of the water supply of fields into the pressure change of the network, the control is executed on the basis of comprehensive processing to a plurality of pieces of feedback information in an irrigation system, and refer to the instruction for the detailed operation steps. The method not only avoids power loss at the low rotation-speed of the pump, but also avoids pump running for partial water supply in fields so as to prolong the service life of the pumps. Moreover, the starting time of the pumps can be reduced. The invention realizes stable control to pipe network pressure, enhances the work efficiency of the pumps, and prolongs the service life of the pumps while conserving energy and reducing cost.

Pipe network constant pressure intelligent control method

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