Remote Irrigation Research Articles

Innovation in Agriculture Advantages of a Remote Irrigation Monitoring and Control System

Globally, the irrigation of crops is the largest consumptive user of water. Water scarcity is increasing worldwide, resulting in tighter regulation of its use for agriculture. This necessitates the development of irrigation practices that are more efficient in the use of water but do not compromise crop quality and yield. Precision irrigation already achieves this goal, in part. The goal of precision irrigation is to accurately supply the crop water need in a timely manner and as spatially uniformly as possible. However, to maximize the benefits of precision irrigation, additional technologies need to be enabled and incorporated into agriculture. This Search discusses how Advantages of a remote irrigation monitoring and control system irrigation management will enable significant advances in increasing the efficiency of current irrigation approaches. From the literature review, it is found that precision irrigation can be applied in achieving the environmental goals related to sustainability. The demonstrated economic benefits of precision irrigation in field-scale crop production is however minimal. It is argued that a proper combination of soil, plant and weather sensors providing real-time data to an adaptive decision support system provides an innovative platform for improving sustainability in irrigated agriculture. The review also shows that adaptive decision support systems based on model predictive control are able to adequately account for the time-varying nature of the soil–plant–atmosphere system while considering operational limitations and agronomic objectives in arriving at optimal irrigation decisions. It is concluded that significant improvements in crop yield and water savings can be achieved by incorporating model predictive control into precision irrigation decision support tools. Further improvements in water savings can also be realized by including deficit irrigation as part of the overall irrigation management strategy. Nevertheless, future research is needed for identifying crop response to regulated water deficits, developing improved soil moisture and plant sensors, and developing self-learning crop simulation frameworks that can be applied to evaluate adaptive decision support strategies related to irrigation.

A Design and implementation of a sustainable microcontroller based solar power automatic water irrigation control and monitoring system

The major cause of the shortage of land reserve water owing to the lack of rainfall makes the proper operation of irrigation systems extremely important. A major concern for farmers these days is water scarcity. Pakistan is an important agricultural nation and major part of economy depend on agriculture. This study analyses the soil moisture monitoring and automatic plant watering system since it is really helpful in all kinds of weather. In this study a prototype is design and implement using Arduino-based automation sensors are employed for the control and observation of a solar powered smart irrigation system. An Arduino based remote irrigation system developed for the agricultural plantation, which is placed at a remote location and requires water, provides for plantation when the moisture of the earth drives under the set-point rate which turns on the pump on autopilot. An estimation was carried for solar power energy potential agriculture system condition using soil and humidity sensors. The measurements and mathematical formulation were observed to monitor effectivity of solar based power generation. This analysis is conducted for 20 Watt power panel integrated with 5-watt electrical drive with battery capacity 1200 m-Ah. A modified energy model was used to determine the agricultural load for a 5-watt dc motor. The results showed a cumulative analysis to implement this system inspired by smart sustainable clean renewable energy technologies which meet the farmer’s demands significantly increase the productivity of farming and reduce wastage of water and energy.

Design and Implementation of VSI for Solar Water Pump Control

The hardware design, implementation, and digital control method for three-phase AC induction motors based on Field-Oriented Control is discussed in this work Solar-powered water pumping systems have become an practical option for remote irrigation and water supply as renewable energy sources obtain importance. This research enhances such systems performance and dependability by employing a Voltage Source Inverter. In order to optimize the energy transfer to the water pump, the recommended approach uses the Voltage Source Inverter capabilities to transform the variable DC output of the solar panels into a controlled AC supply. The research looks at the choice of power components, control algorithms, and modulation strategies while designing the Voltage Source Inverter. The most suitable modulation strategy is determined after an in-depth review of several different approaches to ensure greater pump performance. This research clarifies on how solar energy conversion and pump control work together to provide sustainable water management in off-grid areas. The research paper "Design and implementation of VSI for Solar Water Pump Control" demonstrates how solar water pumping systems can be optimized using power electronics and control. The project addresses efficiency difficulties and operational differences to create efficient and reliable solar-powered water delivery systems, which support environmental sustainability and rural development. Based on the power of the PV panel, the P&O MPPT method calculates the submersible pump speed. The sensorless speed control method eliminates the requirement for location or speed sensors. The Black Electro-Motives Force calculates speed by estimating the flux angle in the absence of mechanical speed sensors. This method reduces costs and simplifies the system simply by eliminating the requirement for expensive and complicated speed sensors. In order to determine steady-state and dynamic performance in varying insolation conditions, a prototype 5.5 KW inverter was constructed. In conclusion up, the research provided a thorough summary of the hardware and control aspects required for Field-Oriented Control in irrigation systems. The practical outcomes of this study have the potential to spur advancements in irrigation technology and the incorporation of renewable energy, resulting in substantial gains for agricultural productivity and environmental conservation.

Micro‐irrigation in Niger: The state of the art and the country's need

AbstractAfter its independence in 1960, following the droughts that occurred in particular that of 1973, 1984, and 2005, Niger promoted irrigation to feed its population through state‐led large‐scale projects. Over the years, structural problems, including the fast growing population and the effects of climate change and variability, have rendered the approach less efficient. The 2000s were marked by a change in approach that put producers at the heart. Thus, projects and programs have been initiated with the I3N initiative Nigeriens Feeding Nigeriens as a guiding strategy since 2011 to ensure sustainable agriculture and food security. Most of the projects aimed at the development of small‐scale irrigation through increased financing and new technologies to take advantage of the significant irrigable potential. Despite these efforts, the irrigation sector is yet to meet food security. This article assesses the situation of micro‐irrigation and identifies current needs. The methodology adopted consists of a review of official documentation on irrigation in Niger, data collected during agricultural fairs, such as the Sahel Niger 2020, and the 4th Edition of the Fair of Irrigation and Drainage (SAFID), combined with related literature. Results revealed the existence of an estimated irrigable land potential of 270,000 ha and 10,942,568 ha, depending on the groundwater depth. Drip technology is proving to be in full expansion, with growing interest from start‐ups and the private sector. Technological innovation is dominated by locally made and imported technologies, the emergence of digitalization, and remote irrigation. Currently, micro‐irrigation is a top priority among climate‐smart technologies, in addition to strengthening technologies for access to water resources, technical capacities of producers, particularly advisories, the strengthening of research, the popularization of micro‐irrigation technologies, access to financing and securing land tenure. Other needs persist in terms of strengthening science‐society‐policy interfaces and effective climate services for risk management.

Deep learning and IoT for Monitoring Tomato Plant

Agriculture is the primary food source for humans and livestock in the world and the primary source for the economy of many countries. The majority of the country’s population and the world depend on agriculture. Still, at present, farmers are facing difficulty in dealing with the requirements of agriculture. Due to many reasons, including different and extreme weather conditions, the abundance of water quality, etc. This paper applied the Internet of Things and deep learning system to establish a smart farming system to monitor the environmental conditions that affect tomato plants using a mobile phone. Through deep learning networks, trained the dataset taken from PlantVillage and collected from google images to classify tomato diseases, and obtained a test accuracy of 97%, which led to the publication of the model to the mobile application for classification for its high accuracy. Using the IoT, a monitoring system and automatic irrigation were built that were controlled through the mobile remote to monitor the environmental conditions surrounding the plant, such as air temperature and humidity, soil moisture, water quality, and carbon dioxide gas percentage. The designed system has proven its efficiency when tested in terms of disease classification, remote irrigation, and monitoring of the environmental conditions surrounding the plant. And giving alerts when the values of the sensors exceed the minimum or higher values causing damage to the plant. The farmer can take the appropriate action at the right time to prevent any damage to the plant and thus obtain a high-quality product.

Possible Anthropogenic Enhancement of Precipitation in the Sahel‐Sudan Savanna by Remote Agricultural Irrigation

AbstractThe local climatic impacts of historical expansion of irrigation are substantial, but the distant impacts are poorly understood, and their governing mechanisms generally have not been rigorously analyzed. Our experiments with an earth‐system model suggest that irrigation in the Middle East and South Asia may enhance rainfall in a large portion of the Sahel‐Sudan Savanna (SSS) to an extent comparable and opposite to its suppression by other anthropogenic climate drivers during the last several decades. The enhancement arises through a reduction in the meridional gradient of moist static energy from the Sahara Desert to the tropical rainforests. An implication of this study is that remote irrigation is a possible factor affecting the risk of drought and famine and, thus, future water security in the SSS region.

Retraction Note: Evaluation of English translation accuracy of green plant surface irrigation and food words based on image processing

China’s agricultural planting area is large, irrigation water consumption is large, and water resources are relatively small. Agricultural irrigation water management can have a huge positive impact on water saving and improvement of water use efficiency. The content of water in the soil is a key focus of irrigation water management. Before irrigating crops, it can not only monitor the current climate conditions but also assess the water demand of crops. After the crops are irrigated with water, the change index of the water content in the soil can help people evaluate the effect of irrigation. Therefore, timely and accurate acquisition of temporal and spatial soil water content information plays an important role in the scientific management of agricultural irrigation water. According to one of the three major irrigation areas in China, as an irrigation area in the experimental area, the 2020 thermal infrared method is used to measure the soil moisture content, and at the same time, the crop water demand estimation model is built, and the remote irrigation area sensor monitoring model and remote sensing irrigation are established. The model estimates crop water demand, area of irrigated area, and irrigation water volume. In addition, in recent years, English has gradually improved its status as the most important language tool in the international communication environment. In this case, more and more attention will be paid to the correctness of English translation. The correctness of English translation is affected by various cultural factors. Therefore, in order to further improve the accuracy of English translation, this article comprehensively analyzes the accuracy of English translation from the cultural background, cognition and thinking habits, and the influence of different cultural factors and proposes corresponding improvement plans for it.

Design of Intelligent on Romote Irritation Control System based on Cloud Database

Aiming at the problems of low artificial efficiency, poor irrigation precision and unequal resource distribution in large-scale shed planting, a design scheme of remote irrigation control system based on cloud database is proposed. As a communication means between greenhouse and monitoring station, LoRa realizes the wireless interaction between sensor layer, actuator layer and network layer. Establish human-computer interaction interface between mobile devices and PCs, namely WeChat small program, to realize the parameterized regulation and management of greenhouses. Establish a cloud database to store relevant data and form a chart for big data research and manual reference. The experimental results show that the designed intelligent irrigation system is simple to install, has no cable constraints, high practicability, strong real-time performance and flexible control mode, and is suitable for medium and large-scale shed planting.

WIRELESS SENSOR NETWORK BASED REMOTE DRIP IRRIGATION SYSTEM

From past to present, different methods have been used for agricultural irrigation systems. Among these, drip irrigation system is more efficient than the others. In drip irrigation system, wireless sensor network is proposed to provide optimized water supply. On the other hand, zigbee has been recently used for remote irrigation systems. In irrigation system, majority of electrical energy is consumed by the pump motors. Therefore, electricity derived from solar energy is important for the economy of our country for the evaluation of cultivated land in settlements where there are no electricity transmission and distribution and far from the city center. In this study, remote controlled and solar powered based drip irrigation system with using wireless sensor network is carried out. In the system, there are two dripping system line and each dripping system line has a sensor and a valve module. These modules and system are controlled by a main module. Moreover, energy of these modules are provided by solar panels and they are communicated with each other via wireless sensor network. The control of the drip irrigation system is provided by the Android interface. Also, the system can be controlled manually or automatically with android interface via SMS.

Agricultural cyber-physical system enabled for remote management of solar-powered precision irrigation

Recently, several works have been focused on designing and optimising the use of Agricultural Cyber-Physical System (ACPS). Therefore, a variety of ACPSs has been developed for the management of different services in precision agriculture. In this context, we present a new approach to the cyberisation of solar photovoltaic water systems (SPVWS) for remote irrigation management. A typical ACPS architecture design is adopted and extended to support the solar irrigation facility. The distributed architecture is based on the client–server paradigm using Vert.x as a reactive platform, which guarantees a bi-directional communication between the operational level deployed in the greenhouse and the supervisory level hosted in the cloud. The operational level deploys embedded devices which host a set of event-driven components responsible for transmitting external resources data, handling notifications, and executing orders provided at the supervisory level. The cloud incorporates several reactive micro-services performing advanced analyses and data mining in order to support remote control tasks. Within this architecture, users with different roles can remotely monitor and manage the activities of the SPVWS. A successful case study of an experimental greenhouse demonstrated the feasibility of the approach in term of low-cost and good performance in task management. • Conceptual map for promoting the cyberisation of SPVWPS is presented. • Distributed-architecture based system for remote management of SPVWPS is developed. • The real-time system is resilient, responsive and able to recover from failure.

Intelligent Irrigation Remote Control System Based on Internet of Things

The paper presents an intelligent irrigation remote control system based on Internet of things to improve the calculation accuracy in water-saving irrigation. A set of fully functional website remote irrigation control system, SMS remote automatic irrigation control system, and the Android platform developed based on the mobile phone Java automatic irrigation remote control mobile client are designed, as well the precise irrigation water control machine and the remote control function are develop. It can realize the field of real-time information acquisition, monitoring, irrigation schemes, precise control machine remote monitoring and water at the scene of the greenhouse temperature and humidity regulating function through the browser, telephone, SMS, fetion and mobile phone client. Its practical application in the agricultural demonstration fields shows that this system is suitable for large acreage fields with its stability in running, convenience in operation and low cost in use.

A Remote Control System Based on Short Messaging Service for Intelligent Agricultural Irrigation

In view of the need of automation and informatization in water-saving irrigation, the development in short message remote control system for automatic irrigation is carried on based on SMS via communication network. According to the remote control information received by SMS (the opening and closing commands of the valves, remote irrigation inquiry commands, etc), binary codes needed by the terminal unit are generated by the remote control system to perform irrigation control or state inquiry. The information fed back by the system is firstly processed into PDU strings that conform to the format of SMS, and then are transmitted to the client (mobile phone, computer, etc) by a wireless transmission module through communication network to display the executing state in the field and the inquiry results of the system. With its stability in running, convenience in operation and being workable in use, this system is suitable for wide application in large areas.

System of Remote Irrigation Based on GPRS

System of Remote Irrigation Based on GPRS

Irrigation Water Compensation Control System Based on Fuzzy Neural Network

This paper presents a Fuzzy Neural Network-based irrigation water control system for realizing accurate irrigation and water saving. The control system consists of a PC based server with a FNN-based control module, data sampling device, CAN bus communication network and remote irrigation units with sensors and controller. It can estimate irrigation water compensation according to the irrigation environments. By using Fuzzy Logic function and Fuzzy Neural Network, the controller module can fuse multi-source information that from Internet, sensors and other sources to make decision of irrigation water compensation on the control spot. Experimental result indicates that the compensation generated by FNN have higher precision than that by FL in this irrigation water control system.

A remote irrigation monitoring and control system (RIMCS) for continuous move systems. Part B: field testing and results

Precision irrigation systems can have inherent errors that affect the accuracy of variable water application rates controllers, as well as affect the controllers’ performance when evaluated on different continuous move irrigation systems configurations. The objective of this study was to assess the performance of a remote irrigation monitoring and control system (RIMCS) installed on two separate linear move (LM) irrigation systems. The RIMCS varies water application rates by pulsing nozzles controlled by solenoids connected via relays to a single board computer (SBC) with wireless Ethernet connection to a remote server. The system also monitors irrigation system flow, pressure, position and wireless field sensor networks. The system was installed on a LM irrigation system in Prosser, Washington, USA and on a LM in the Nesson Valley of North Dakota, USA. For the LM at Prosser, four pre-defined irrigation patterns were imposed and variable rates were applied as a percentage of the nozzle base application rate. Each nozzle was pulsed across the span length and along the LM travel direction. For the LM at the Nesson Valley, a quadratic pattern was imposed pulsing banks of nozzles along the LM travel direction. Standard catch can tests were performed and the system performance was evaluated by comparing measured catch can water depths with pre-determined target values. The RIMCS accuracy was found to be in the range of the LM uniform water depth application uniformity coefficients of 88–96%. The RIMCS was successfully transferred to another LM in North Dakota as indicated by the relatively low variable rate application errors of –8.8 ± 8.1% and −0.14 ± 6.7% for the two spans.

A Remote Irrigation Monitoring and Control System for continuous move systems. Part A: description and development

Continuous move irrigation systems have been modified since the 1990s to support variable rate irrigation. Most of these systems used PLC (Programmable Logic Controllers) technology that performed well for on-site control but were very expensive to add remote, real-time monitoring and control aspects that have been made possible by wireless sensor networks and the Internet. A new approach to the monitoring and control of continuous move irrigation systems is described. This system uses a Single Board Computer (SBC) using the Linux operating system to control solenoids connected to individual or groups of nozzles based on prescribed application maps. The main control box houses the SBC connected to a sensor network radio, a GPS (Global Positioning System) unit, and an Ethernet radio creating a wireless connection to a remote server. A C-software control program resides on the SBC to control the on/off time for each nozzle group using a “time on” application map developed remotely. The SBC also interfaces with the sensor network radio to record measurements from sensors on the irrigation system and in the field that monitor performance and soil and crop conditions. The SBC automatically populates a remote database on the server in real time and provides software applications to monitor and control the irrigation system through the Internet.