Optimal design of solar powered fuzzy control irrigation system for cultivation of green vegetable plants in Rural India

Singh, Shiva Nand; Jha, Rishi; Nandwana, Mahesh Kr.

doi:10.1109/rait.2012.6194541

Cited by 14 publications

(4 citation statements)

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“…These devices with briskly developed algorithms can emulate the process of human decision making; therefore, these devices have been implemented specifically in sprinkler irrigation machines for precise water applications [211,212] in different forms like fuzzy logic, etc. [213]. On the other hand, these kinds of controllers have complex structures, are higher in price, and are difficult to troubleshoot.…”

Section: Use Of Controlling Devices For Precision Applications Of Spr...mentioning

confidence: 99%

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Chauhdary,

Li,

Jiang

et al. 2023

Agronomy

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The non-judicious use of water at the farm level in traditional irrigation application methods is a present-day concern across the world that can be resolved by enhancing application efficiency through the adoption of advanced irrigation techniques. Sprinkler irrigation is a method that has high application efficiency, which can be further increased when coupled with automation toward precision irrigation. The objectives of this review are to summarize the main aspects of sprinkler and precision irrigation and their development, scope, and future prospects specifically in Asian countries. In this paper, a modified methodology, inspired by PRISMA guidelines, was used to explore the available literature to summarize the existing knowledge in the field. Regarding the technological aspects of the analyzed works, it became evident that sprinkler systems are an efficient method to not only irrigate crops (with 39% water saving) but also for the application of fertilizers with higher efficiency (>35%) and water productivity (>14.1%) compared with gravity irrigation systems. Moreover, this paper highlights the prominent features of precision irrigation for maximizing agricultural productivity. The use of sprinkler irrigation with precision applications using automation with a sensor-based mechanism for field data collection, data transformation, data analysis, and operation of IoT-based automatic solenoid valves can save 20–30% more irrigation water and increase crop yield by 20–27%. An analytical understanding and knowledge of the field were used to draw conclusions that are thought-provoking for scientists, researchers, and other stakeholders.

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Section: Use Of Controlling Devices For Precision Applications Of Spr...mentioning

confidence: 99%

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Chauhdary,

Li,

Jiang

et al. 2023

Agronomy

View full text Add to dashboard Cite

show abstract

“…These could be based on an example such as the one shown in Reza and Sarkar (2015) where the idea of solar irrigation in real practice was implemented and showed the economic and technical viability of a directly coupled solar photovoltaic irrigation pump system operating at Gaibandha, Bangladesh. Singh et al (2012) also developed a solar powered pump controller, using a fuzzy logic control strategy to feed water for cultivation. This was tested with the growth of vegetables like a tomato plant that resulted in saving 50-60% in water consumption and the cost of energy generation.…”

Section: Technologicalmentioning

confidence: 99%

A PESTEL and SWOT impact analysis on renewable energy development in Togo

2023

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Similar to most developing countries, Togo continues to rely on the use of traditional forms of biomass energy which causes tremendous socio-economic, environmental, and health hazards. In addition, the imbalanced distribution and use of electricity, petroleum, and liquid gas reflect the disproportion in income and quality of life. This paper plans to highlight the development that renewable energy had in the past decade and the challenges facing the Togolese government, using a framework approach that will best address them. Framework approaches such as PESTEL and SWOT analyses are utilized to access both the internal and external factors in relation to renewable energy development and its impact on Togo. This will provide a better understanding of the sustainability issues facing Togo and provide solutions on the best methods that will lead to greater impact and development. The result shows that renewable energy development in Togo has improved in the past decade and had some impact on socio-economic development. However, better development will be achieved if approaches are introduced to provide a long-term solution to the high capital costs of the technologies, institutional sustainability is incorporated, the number of trained personnel/technical expertise is increased and the Government engagement with funding bodies to secure funds that will favor off-grid and poorest communities is increased. There is also a need to include local participation in the design and operation of projects and introduce a cross-subsidization tariff scheme that covers the operation and maintenance costs of off-grid solar PV users that will favor poor households. Finally, liberalization of the energy sector is needed as well as the government's support to help private investment in rural electrification via Build-Own-Operate arrangements.

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“…Machine learning can learn from experience and perform activities that are similar to those performed by humans, and it is committed to making machines smarter [33,34]. It has the capacity to solve complicated irrigation system issues including multivariable, non-linear, and time-varying factors [35,36]. Machine learning methods can be employed to automatically extract new information in the form of generalized decision rules, in order to accomplish precision irrigation actions using natural resources such as water.…”

Section: Machine Learning Algorithms For Smart Irrigationmentioning

confidence: 99%

Precision Irrigation Management Using Machine Learning and Digital Farming Solutions

et al. 2022

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Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the available freshwater. This underscores the importance of responsible management, using smart agricultural water technologies. The focus of this paper is to investigate research regarding the integration of different machine learning models that can provide optimal irrigation decision management. This article reviews the research trend and applicability of machine learning techniques, as well as the deployment of developed machine learning models for use by farmers toward sustainable irrigation management. It further discusses how digital farming solutions, such as mobile and web frameworks, can enable the management of smart irrigation processes, with the aim of reducing the stress faced by farmers and researchers due to the opportunity for remote monitoring and control. The challenges, as well as the future direction of research, are also discussed.

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Optimal design of solar powered fuzzy control irrigation system for cultivation of green vegetable plants in Rural India

Cited by 14 publications

References 1 publication

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

A PESTEL and SWOT impact analysis on renewable energy development in Togo

Precision Irrigation Management Using Machine Learning and Digital Farming Solutions

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