scholarly journals Proposals of Universal Algorithms for the Automation of the Irrigation Process of Plant Crops

2021 ◽  
Vol 25 (1) ◽  
pp. 115-124
Author(s):  
Paweł Chwietczuk
Keyword(s):  
Irrigation System ◽  
Irrigation Management ◽  
System Construction ◽  
Correct Operation ◽  
Field Crops ◽  
Soil Moisture Sensors ◽  
Construction Scheme ◽  
Relative Water ◽  
Intelligent Irrigation

Abstract The article presents the issues of water saving, declining freshwater resources in the world, and the problems of drought in the context of proper and effective irrigation of various types of crops. The use of microprocessor irrigation management systems has a significant impact on the quality of the yield and the rational use of water. An example of the irrigation system construction scheme is presented. The system uses strain gauge soil moisture sensors, which can be used to determine the relative water demand of plants, depending on the growing substrate. Additional system security in the form of rainfall and wind speed sensors provide the necessary information for the correct operation of the irrigation system. Then, two universal algorithms were proposed to automate the irrigation process of plant crops due to the way water is supplied to the plants. The first algorithm is designed for systems using drip lines - they are widely used in various types of crops where there is a need to precisely supply water to the plant, such systems are destined especially for crops grown undercover or for nursery crops. The second algorithm for sprinkler-based systems is mainly used in field crops and in mushroom farms. The presented algorithms can be used to design and implement intelligent irrigation systems, and after adding an additional module – for plant fertilization.

scholarly journals Performance of processing tomatoes under different supply levels of crop evapotranspiration

2018 ◽  
Vol 36 (3) ◽  
pp. 299-305
Author(s):  
Cícero J Silva ◽  
Nadson C Pontes ◽  
Adelmo Golynski ◽  
Marcos B Braga ◽  
Alice M Quezado-Duval ◽  
...  
Keyword(s):  
Irrigation System ◽  
Block Design ◽  
Water Productivity ◽  
Irrigation Management ◽  
Crop Evapotranspiration ◽  
Production Chain ◽  
Crop Cycle ◽  
Growing Conditions ◽  
Irrigation Levels

ABSTRACT Irrigation management is essential to promote appropriate plant growth and guarantee production and quality of the tomatoes for processing, increases the efficiency of nutrients use and contributes to ensure the sustainability of the production chain. This study was installed to evaluate productive performance of two processing tomato hybrids submitted to five water depths under drip irrigation system. Five levels of crop evapotranspiration (ETc) replacement (60%, 100%, 140%, 180% and 220%) and two tomato hybrids (BRS Sena and H 9992) were tested. The experimental design was a 5×2 factorial arranged in randomized complete block design with four replications. During the crop cycle, hybrids BRS Sena and H 9992 needed 692.20 and 418.43 mm of water, yielding 80 and 44.06 t ha-1, respectively. For both hybrids, the higher water productivity was observed when lower levels of irrigation were applied. Higher productivities and pulp yields of ‘BRS Sena’ and ‘H 9992’ were noticed when replacing 150-166% and 99-101% ETc, respectively. We observed that improving the performance of processing hybrid tomatoes is possible by adjusting irrigation levels for each hybrid according to growing conditions.

A Smart and Intelligent Irrigation System With a Roadmap Ahead

2021 ◽  
Vol 10 (1) ◽  
pp. 18-33
Author(s):  
Samrat Mondal ◽  
Avishek Bhadra ◽  
Shouvik Chakraborty
Keyword(s):  
Food Production ◽  
Irrigation System ◽  
Influencing Factor ◽  
Annual Rainfall ◽  
Multiple Cropping ◽  
Intelligent Irrigation ◽  
Automated Irrigation System

In India, agriculture is an important domain of research for food production. Insufficient, uncertain, and irregular rain causes problems in agriculture, and also, most of the annual rainfall occurs within less than 4 months, for which multiple cropping is not possible. Irrigation is a major influencing factor in agriculture as it solves all these problems. Irrigation helps in stabilising the output and yield levels. The sources of artificial irrigation are wells or canals or some reservoirs, and one also need extra labour to irrigate the fields. Automated and intelligent irrigation can solve many of these problems and reduce the human efforts. Moreover, it also improves the quality of the irrigation by reducing the dependency on the humans. It sends data wirelessly to a central server, which collects the data, stores it, and allow it to be analysed. The results and the collected data can be displayed and data sent to the phone whenever required. In this article, a description of such an intelligent and automated irrigation system is presented.

scholarly journals A smart Agriculture Irrigation System using sensor array based IOT

2021 ◽  
Vol 2062 (1) ◽  
pp. 012010
Author(s):  
Kola Murali ◽  
B. Sridhar
Keyword(s):  
Soil Moisture ◽  
Irrigation System ◽  
Sensor Data ◽  
Irrigation Systems ◽  
Soil Moisture Sensors ◽  
Agriculture Irrigation ◽  
Smart Agriculture ◽  
Intelligent Irrigation ◽  
Control Water

Abstract The role of Agriculture is important to build a nation, since more than 58% of the population in our country is dependent on agriculture that means half of the population is investing in agriculture. However, many farmers are unfamiliar with intelligent irrigation systems designed to improve the water used for their crops. The proposed system is to precisely monitor the distribution of the water to crops. This IOT based system has a distributed wireless network of soil moisture sensors to monitor soil moisture. Other sensors such as temperature, humidity, rain, IR, LDR, foot. The gateway device also processes the detector’s information and transmits the data to the farmer. An algorithm was developed using threshold values for soil moisture and nutrients, and these values were programmed into a node com-based gateway to control water for irrigation. Complete sensor data is sent to the free cloud using NODEMCU and displayed on websites and apps. This proposed work presents extensive research on irrigation systems in smart agriculture.

Concept of Symbiotic Computing and its Agent-Based Application to a Ubiquitous Care-Support Service

2010 ◽  
pp. 1762-1785
Author(s):  
Takuo Suganuma ◽  
Kenji Sugawara ◽  
Tetsuo Kinoshita ◽  
Fumio Hattori ◽  
Norio Shiratori
Keyword(s):  
Support Service ◽  
Real Space ◽  
System Construction ◽  
Agent Based ◽  
Flexible System ◽  
Computing Model ◽  
System A ◽  
Construction Scheme ◽  
Care Support

In this paper, a concept of “symbiotic computing” is formalized to bridge gaps between Real Space (RS) and Digital Space (DS). Symbiotic computing is a post-ubiquitous computing model based on an agent-oriented computing model that introduces social heuristics and cognitive functions into DS to bridge the gaps. The symbiotic functions and agent-based architecture of symbiotic applications are also discussed. Based on the concept, functions, and architecture of symbiotic applications, we develop an agent-based care-support service to enable supervision of persons by their families and friends easily while protecting privacy. In this application system, a hierarchical structure of multi-agents is organized dynamically using heuristics in agents based on the situation of a watched person and watching persons. The system appropriately alters the contents and quality of the live video. The flexible system construction scheme using a multiagent framework facilitates the symbiosis of RS and DS by bridging the gaps in the care-support service domain.

Concept of Symbiotic Computing and its Agent-based Application to a Ubiquitous Care-Support Service

2011 ◽  
pp. 38-59 ◽  
Author(s):  
Takuo Suganuma ◽  
Kenji Sugawara ◽  
Tetsuo Kinoshita ◽  
Fumio Hattori ◽  
Norio Shiratori
Keyword(s):  
Support Service ◽  
Real Space ◽  
System Construction ◽  
Agent Based ◽  
Flexible System ◽  
Computing Model ◽  
System A ◽  
Construction Scheme ◽  
Care Support

In this paper, a concept of “symbiotic computing” is formalized to bridge gaps between Real Space (RS) and Digital Space (DS). Symbiotic computing is a post-ubiquitous computing model based on an agent-oriented computing model that introduces social heuristics and cognitive functions into DS to bridge the gaps. The symbiotic functions and agent-based architecture of symbiotic applications are also discussed. Based on the concept, functions, and architecture of symbiotic applications, we develop an agent-based care-support service to enable supervision of persons by their families and friends easily while protecting privacy. In this application system, a hierarchical structure of multi-agents is organized dynamically using heuristics in agents based on the situation of a watched person and watching persons. The system appropriately alters the contents and quality of the live video. The flexible system construction scheme using a multiagent framework facilitates the symbiosis of RS and DS by bridging the gaps in the care-support service domain.

scholarly journals DESIGN OF AN INTELLIGENT IRRIGATION SYSTEM FOR A JUJUBE ORCHARD BASED ON IoT

2021 ◽  
pp. 189-198
Author(s):  
Kun Tan ◽  
Sanmin Sun ◽  
Liangzong Du ◽  
Shaoliang Zhou
Keyword(s):  
Information Acquisition ◽  
Irrigation System ◽  
Decision Threshold ◽  
Field Control ◽  
Relative Water ◽  
Programming Software ◽  
Database Comparison ◽  
Intelligent Irrigation ◽  
Control Terminal ◽  
Remote Client

This research aimed to develop an information acquisition and intelligent irrigation decision system based on the agricultural Internet of Things (IoT). The system consists of a field control terminal and a remote client, realizing control, real-time display, alarm, and other functions. The user may apply the upper and lower limit of soil relative water content as the irrigation decision threshold. The system automatically controls irrigation according to the threshold. In the calculation and analysis part of the system, the programming software Keil 5 was used for data collection and monitoring, database comparison, calculation and analysis, irrigation decision, and other functions.

Uphoff Norman, Priti Ramamurthy, and Roy Steiner. Managing Irrigation: Analysing and Improving the Performance of Bureaucracies. New Delhi/Newbury Park/London: Sage Publications. 1991. Hardbound. Price not given.

1993 ◽  
Vol 32 (2) ◽  
pp. 226-228
Author(s):  
Zakir Hussain
Keyword(s):  
Water Distribution ◽  
Irrigation System ◽  
Irrigation Management ◽  
Performance Criterion ◽  
New Delhi ◽  
Irrigation Performance ◽  
Factors Affecting ◽  
Wide Range ◽  
Resource Mobilisation ◽  
Management Issues

The book; under review provides a valuable account of the issues and factors in managing the irrigation system, and presents a lucid and thorough discussion on the performance of the irrigation bureaucracies. It comprises two parts: the first outlines the factors affecting irrigation performance under a wide range of topics in the first five chapters. In Chapter One, the authors have attempted to assess the performance of the irrigation bureaucracies, conceptualise irrigation management issues, and build an empirical base for analysis while drawing upon the experience of ten country cases in Asia, Africa, and Latin America. The Second Chapter focuses on the variations in the management structures identified and the types of irrigation systems; and it defines the variables of the management structures. The activities and objectives of irrigation management are discussed in Chapter Three. The objectives include: greater production and productivity of irrigation projects; improved water distribution; reduction in conflicts; greater resource mobilisation and a sustained system performance. The authors also highlight the performance criterion in this chapter. They identify about six contextual factors which affect the objectives and the performance of irrigation, which are discussed in detail in Chapter Four. In Chapter Five, some organisational variables, which would lead to improvements in irrigation, are examined.

Drip Irrigation and Stand Establishment Affect Yield and Quality of Cantaloupe

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 545d-545
Author(s):  
D.I. Leskovar ◽  
J.C. Ward ◽  
R.W. Sprague ◽  
A. Meiri
Keyword(s):  
Field Experiments ◽  
Irrigation System ◽  
Fruit Size ◽  
Growth Yield ◽  
Vegetable Production ◽  
Silty Clay ◽  
Dry Land ◽  
Stand Establishment ◽  
Yield And Quality

Water pumping restrictions of high-quality irrigation water from underground aquifers is affecting vegetable production in Southwest Texas. There is a need to develop efficient deficit-irrigation strategies to minimize irrigation inputs and maintain crop profitability. Our objective was to determine how growth, yield, and quality of cantaloupe (Cucumis melo L. cv. `Caravelle') are affected by irrigation systems with varying input levels, including drip depth position and polyethylene mulch. Stand establishment systems used were containerized transplants and direct seeding. Field experiments were conducted on a Uvalde silty clay loam soil. Marketable yields increased in the order of pre-irrigation followed by: dry-land conditions, furrow/no-mulch, furrow/mulch, drip-surface (0 cm depth)/mulch, drip-subsurface (10-cm depth)/mulch, and drip-subsurface (30 cm depth)/mulch. Pooled across all drip depth treatments, plants on drip had higher water use efficiency than plants on furrow/no-mulch or furrow/mulch systems. Transplants with drip-surface produced 75% higher total and fruit size No. 9 yields than drip-subsurface (10- or 30-cm depth) during the first harvest, but total yields were unaffected by drip tape position. About similar trends were measured in a subsequent study except for a significant irrigation system (stand establishment interaction for yield. Total yields were highest for transplants on drip-subsurface (10-cm depth) and direct seeded plants on drip-subsurface (10 and 30 cm depth) with mulch.

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