
Desalination and Water Treatment, Год журнала: 2024, Номер 318, С. 100304 - 100304
Опубликована: Апрель 1, 2024
Язык: Английский
Desalination and Water Treatment, Год журнала: 2024, Номер 318, С. 100304 - 100304
Опубликована: Апрель 1, 2024
Язык: Английский
AgriEngineering, Год журнала: 2022, Номер 4(1), С. 70 - 103
Опубликована: Фев. 1, 2022
Freshwater is essential for irrigation and the supply of nutrients plant growth, in order to compensate inadequacies rainfall. Agricultural activities utilize around 70% available freshwater. This underscores importance responsible management, using smart agricultural water technologies. The focus this paper investigate research regarding integration different machine learning models that can provide optimal decision management. article reviews trend applicability techniques, as well deployment developed use by farmers toward sustainable It further discusses how digital farming solutions, such mobile web frameworks, enable management processes, with aim reducing stress faced researchers due opportunity remote monitoring control. challenges, future direction research, are also discussed.
Язык: Английский
Процитировано
160Membranes, Год журнала: 2023, Номер 13(6), С. 612 - 612
Опубликована: Июнь 20, 2023
Climate change, global population growth, and rising standards of living have put immense strain on natural resources, resulting in the unsecured availability water as an existential resource. Access to high-quality drinking is crucial for daily life, food production, industry, nature. However, demand freshwater resources exceeds available supply, making it essential utilize all alternative such desalination brackish water, seawater, wastewater. Reverse osmosis a highly efficient method increase supplies make clean, affordable accessible millions people. ensure universal access various measures need be implemented, including centralized governance, educational campaigns, improvements catchment harvesting technologies, infrastructure development, irrigation agricultural practices, pollution control, investments novel transboundary cooperation. This paper provides comprehensive overview utilizing sources, with particular emphasis seawater wastewater reclamation techniques. In particular, membrane-based technologies are critically reviewed, focus their energy consumption, costs, environmental impacts.
Язык: Английский
Процитировано
96Agriculture, Год журнала: 2023, Номер 13(2), С. 397 - 397
Опубликована: Фев. 8, 2023
Technological advancements have led to an increased use of the internet things (IoT) enhance resource efficiency, productivity, and cost-effectiveness agricultural production systems, particularly under current scenario climate change. Increasing world population, variations, propelling demand for food are hot discussions these days. Keeping in view importance abovementioned issues, this manuscript summarizes modern approaches IoT smart techniques aid sustainable crop production. The study also demonstrates benefits using establishment smart- resource-use-efficient farming systems. Modern technology not only aids sustaining productivity limited resources, but can help observing climatic monitoring soil nutrients, water dynamics, supporting data management assisting insect, pest, disease management. Various type sensors computer tools be utilized recording cropping which ensure opportunity timely decisions. Digital camera-assisted systems producers monitor their crops remotely. simulate predict yield forecasted conditions, thus assist decision making various practices, including irrigation, fertilizer, insecticide, weedicide applications. We found that neural networks simulation models could prediction better support with average accuracy up 92%. Different numerical irrigation save energy by reducing it 8%, whereas advanced helped cost 25.34% as compared soil-moisture-based system. Several leaf diseases on managed image processing a genetic algorithm 90% precision accuracy. Establishment indoor vertical worldwide, especially countries either lacking supply sufficient or suffering intense urbanization, is ultimately helping increase well enhancing metabolite profile plants. Hence, employing tools, system used stabilize improving efficiency applied resources i.e., fertilizers.
Язык: Английский
Процитировано
86Energies, Год журнала: 2022, Номер 15(9), С. 3113 - 3113
Опубликована: Апрель 24, 2022
The farmers’ welfare and its interlinkages to energy efficiency farm sustainability has attracted global scientific interest within the last few decades. This study examines contribution of Agriculture 5.0 prosperity farmers in post-pandemic era gradual transition an energy-smart farm. To obtain insight into attributes emerging technologies field, Bibliometrix analysis with use R package was conducted based on 2000 data consisting peer-reviewed articles. were retrieved from Scopus database. A bibliometric approach employed analyze for a comprehensive overview trend, thematic focus, production field farming. Emerging that are part combination alternative sources can provide cost-effective access finance, weather updates, remotely monitoring, future solutions establishment smart farms. Keywords such as “renewable energy,” “Internet Things,” “emission control” remain trending keywords. Moreover, shows “economic social effects”, “energy efficiency”, “remote sensing”, “Artificial Intelligence” their associated components “anaerobic digestion”, “wireless sensor network,” “agricultural robots”, “smart agriculture” niche themes green sources, which lead cut cost, energy-efficient, sustainable
Язык: Английский
Процитировано
80Sensors, Год журнала: 2024, Номер 24(8), С. 2647 - 2647
Опубликована: Апрель 21, 2024
Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from multitude research papers, exploring dynamic landscape precision agriculture. main focus is on integration sensors, coupled with technologies such Internet Things (IoT), big data analytics, Artificial Intelligence (AI). This analysis set context optimizing crop management, using resources wisely, promoting sustainability agricultural sector. aims to provide an in-depth understanding emerging trends key developments field By highlighting benefits integrating innovative it aspires enlighten practitioners, researchers, policymakers best practices, current challenges, prospects. It foster transition towards more sustainable, efficient, intelligent practices while encouraging continued adoption adaptation new technologies.
Язык: Английский
Процитировано
75Agriculture, Год журнала: 2024, Номер 14(7), С. 1141 - 1141
Опубликована: Июль 14, 2024
Water is considered one of the vital natural resources and factors for performing short- long-term agricultural practices on Earth. Meanwhile, globally, most available freshwater are utilized irrigation purposes in agriculture. Currently, many world regions facing extreme water shortage problems, which can worsen if not managed properly. In literature, numerous methods remedies used to cope with increasing global crises. The use precision water-saving systems (PISs) efficient management under climate change them a highly recommended approach by researchers. It mitigate adverse effects changing help enhance efficiency, crop yield, environmental footprints. Thus, present study aimed comprehensively examine review PISs, focusing their development, implementation, positive impacts sustainable management. addition, we searched literature using different online search engines reviewed summarized main results previously published papers PISs. We discussed traditional method its modernization enhancing PIS monitoring controlling, architecture, data sharing communication technologies, role artificial intelligence water-saving, future prospects PIS. Based brief review, concluded that PISs seems bright, driven need systems, technological advancements, awareness. As scarcity problem intensifies due population growth, poised play critical optimizing modernizing usage, reducing footprints, thus ensuring agriculture development.
Язык: Английский
Процитировано
75Agronomy, Год журнала: 2023, Номер 13(8), С. 2113 - 2113
Опубликована: Авг. 11, 2023
Global drylands, covering about 41% of Earth’s surface and inhabited by 38% the world’s population, are facing stark challenges water scarcity, low productivity, food insecurity. This paper highlights major constraints to agricultural traditional irrigation scheduling methods, associated challenges, efforts, progress enhance use efficiency (WUE), conserve water, guarantee security overviewing different smart approaches. Widely used methods (based on weather, plant, soil moisture conditions) usually lack important information needed for precise irrigation, which leads over- or under-irrigation fields. On other hand, using several factors, including climate variation, properties, plant responses deficits, changes in weather can drive better decisions that help save increase yields. Various approaches, such as artificial intelligence deep learning (artificial neural network, fuzzy logic, expert system, hybrid intelligent learning), model predictive systems, variable rate (VRI) technology, unmanned aerial vehicles (UAVs) could ensure high water-scarce regions. These technologies improve management accelerate achieving multiple Sustainable Development Goals (SDGs), where no one gets left behind.
Язык: Английский
Процитировано
63Smart Agricultural Technology, Год журнала: 2023, Номер 5, С. 100255 - 100255
Опубликована: Май 17, 2023
Future agricultural systems should increase productivity and sustainability of food production supply. For this, integrated efficient capture, management, sharing, use environmental data from multiple sources is essential. However, there are challenges to understand efficiently different types sources, which differ in format time interval. In this regard, the role emerging technologies considered be significant for gathering, analyses use. study, a concept was developed facilitate full integration digital enhance future smart sustainable systems. The has been based on results literature review diverse experiences expertise enabled identification stat-of-the-art technologies, knowledge gaps. features proposed solution include: collection methodologies using tools; platforms handling sharing; application Artificial Intelligent analysis; edge cloud computing; Blockchain, decision support system; governance security system. study identified potential positive implications i.e. implementation could value, farm productivity, effectiveness monitoring operations making, provide innovative business models. contribute an overall competitiveness, sustainability, resilience sector as well transformation agriculture rural areas. This also provided research direction relation concept. will benefit researchers, practitioners, developers tools, policy makers supporting transition smarter more
Язык: Английский
Процитировано
58Journal of Sensor and Actuator Networks, Год журнала: 2024, Номер 13(4), С. 39 - 39
Опубликована: Июль 8, 2024
This paper explores the potential of smart crop management based on incorporation tools like digital agriculture, which considers current technological applied in such as Internet Things (IoT), remote sensing, and artificial intelligence (AI), to improve production efficiency sustainability. is essential context varying climatic conditions that affect availability resources for agriculture. The integration IoT sensor networks can allow farmers obtain real-time data their crops, assessing key health factors, soil conditions, plant water status, presence pests, environmental among others, finally result data-based decision-making optimize irrigation, fertilization, pest control. Also, this be enhanced by incorporating drones unmanned aerial vehicles (UAVs), increase monitoring capabilities through comprehensive field surveys high-precision growth tracking. On other hand, big analytics AI are crucial analyzing extensive datasets uncover patterns trends provide valuable insights improving agricultural practices. highlights advancements applications management, addressing challenges barriers global adoption these new types technologies emphasizing need ongoing research collaboration achieve sustainable efficient production.
Язык: Английский
Процитировано
57Agronomy, Год журнала: 2023, Номер 13(2), С. 342 - 342
Опубликована: Янв. 25, 2023
This research aims to carry out a systematic review of the available literature about smart irrigation systems. It will be focused on systems using artificial intelligence techniques in urban and rural agriculture for soil crops identify those that are currently being used or can adapted agriculture. To this end, modified PRISMA 2020 method is applied, three search equations formulated. From filters, after screening process, 170 articles obtained. These analyzed through VantagePoint, text processing software. After this, they taken detailed analysis phase which 50 sources selected as most relevant read by topic. Finally, different phases draw conclusions might interesting researchers working specific field general public interested its automation.
Язык: Английский
Процитировано
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