Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 335 - 379
Published: Jan. 1, 2025
Language: Английский
Agriculture, Journal Year: 2024, Volume and Issue: 14(7), P. 1141 - 1141
Published: July 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.
Language: Английский
Citations
60
Open Access Research Journal of Science and Technology, Journal Year: 2024, Volume and Issue: 10(2), P. 060 - 070
Published: April 7, 2024
This comparative review explores the advancements and applications of Artificial Intelligence (AI) in agriculture, focusing on developments United States (USA) Africa. The integration AI technologies agriculture has witnessed significant progress globally, addressing challenges transforming traditional farming practices. In USA, precision smart techniques driven by have become integral components modern agricultural systems. These innovations include autonomous machinery, drone technology for crop monitoring, predictive analytics yield optimization. contrast, application African presents a distinct set opportunities. delves into initiatives aimed at leveraging to enhance productivity, improve resource management, address food security concerns various nations. efforts deployment pest disease detection, monitoring remote areas, implementation data-driven decision-making tools support smallholder farmers. analysis sheds light disparities adoption between USA Africa, emphasizing factors such as infrastructure, technological accessibility, availability. Additionally, it collaborative partnerships that bridge gap contribute sustainable development agriculture. As both regions navigate complexities implementing this underscores potential play pivotal role global challenges. findings highlight need tailored approaches, policy frameworks, international collaborations ensure inclusive equitable access AI-driven fostering shared commitment technologically empowered
Language: Английский
Citations
28
Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(2), P. 473 - 497
Published: Feb. 18, 2024
This study provides a comprehensive review of the integration and impact Artificial Intelligence (AI) in agricultural supply chains, focusing on its role enhancing demand forecasting optimizing supply. The primary objective was to assess how AI-driven predictive analytics transforms practices, addressing challenges, shaping future trends. A systematic literature content analysis methodology were employed, utilizing academic databases digital libraries source peer-reviewed articles conference papers published between 2014 2024. inclusion criteria focused studies related AI applications while exclusion filtered out non-peer-reviewed irrelevant literature. Key findings reveal that significantly improves accuracy efficiency chain operations agriculture. technologies, including machine learning big data analytics, have led advancements real-time analysis, maintenance, resource optimization. However, challenges such as quality, infrastructure development, skill gaps among professionals persist. landscape agriculture is marked by growth opportunities need for equitable technology access ethical considerations. recommends industry leaders policymakers invest infrastructure, promote research provide training facilitate adoption. Future should focus developing robust models tailored agriculture, exploring AI's with emerging assessing long-term socio-economic impacts. contributes understanding current potential transforming offering valuable insights stakeholders sector. Keywords: Intelligence, Agricultural Supply Chains, Predictive Analytics, Demand Forecasting.
Language: Английский
Citations
21
Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 226, P. 109412 - 109412
Published: Sept. 7, 2024
Language: Английский
Citations
19
Agriculture, Journal Year: 2025, Volume and Issue: 15(4), P. 377 - 377
Published: Feb. 11, 2025
Machine learning (ML) has revolutionized resource management in agriculture by analyzing vast amounts of data and creating precise predictive models. Precision improves agricultural productivity profitability while reducing costs environmental impact. However, ML implementation faces challenges such as managing large volumes adequate infrastructure. Despite significant advances applications sustainable agriculture, there is still a lack deep systematic understanding several areas. Challenges include integrating sources adapting models to local conditions. This research aims identify trends key players associated with use agriculture. A review was conducted using the PRISMA methodology bibliometric analysis capture relevant studies from Scopus Web Science databases. The study analyzed literature between 2007 2025, identifying 124 articles that meet criteria for certainty assessment. findings show quadratic polynomial growth publication on notable increase up 91% per year. most productive years were 2024, 2022, 2023, demonstrating growing interest field. highlights importance multiple improved decision making, soil health monitoring, interaction climate, topography, properties land crop patterns. Furthermore, evolved weather advanced technologies like Internet Things, remote sensing, smart farming. Finally, agenda need deepening expansion predominant concepts, farming, develop more detailed specialized explore new maximize benefits sustainability.
Language: Английский
Citations
2
Machine Learning with Applications, Journal Year: 2024, Volume and Issue: 16, P. 100556 - 100556
Published: May 7, 2024
Maize is an important crop cultivated in Sub-Saharan Africa, essential for food security. However, its cultivation faces significant challenges due to debilitating diseases such as Lethal Necrosis (MLN) and Streak Virus (MSV), which can lead severe yield losses. Traditional plant disease diagnosis methods are often time-consuming prone errors, necessitating more efficient approaches. This study explores the application of deep learning, specifically Convolutional Neural Networks (CNNs), automatic detection classification maize diseases. We investigate six architectures: Basic CNN, EfficientNet V2 B0 B1, LeNet-5, VGG-16, ResNet50, using a dataset 15344 images comprising MSV, MLN, healthy leaves. Additionally, performed hyperparameter tuning improve performance models Gradient-weighted Class Activation Mapping (Grad-CAM) model interpretability. Our results show that demonstrated accuracy 99.99% distinguishing between disease-infected plants. The this contribute advancement AI applications agriculture, particularly diagnosing within Africa.
Language: Английский
Citations
13
Journal of Terramechanics, Journal Year: 2024, Volume and Issue: 115, P. 100986 - 100986
Published: May 10, 2024
Language: Английский
Citations
11
Microorganisms for sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 217 - 234
Published: Jan. 1, 2024
Language: Английский
Citations
10
Advances in media, entertainment and the arts (AMEA) book series, Journal Year: 2024, Volume and Issue: unknown, P. 269 - 288
Published: Jan. 10, 2024
AI-driven decision-making tools have emerged as a novel technology poised to replace traditional agricultural practices. In this chapter, AI's pivotal role in steering the sector towards sustainability is highlighted, primarily through utilization of AI techniques such robotics, deep learning, internet things, image processing, and more. This chapter offers insights into application various functional areas agriculture, including weed management, crop soil management. Additionally, it underlines both challenges advantages presented by applications agriculture. conclusion, potential agriculture vast, but faces impediments that, when properly identified addressed, can expand its scope. serves valuable resource for government authorities, policymakers, scientists seeking explore untapped significance
Language: Английский
Citations
9
Electronics, Journal Year: 2024, Volume and Issue: 13(10), P. 1894 - 1894
Published: May 11, 2024
The global agricultural sector confronts significant obstacles such as population growth, climate change, and natural disasters, which negatively impact food production pose a threat to security. In response these challenges, the integration of IoT AI technologies emerges promising solution, facilitating data-driven decision-making, optimizing resource allocation, enhancing monitoring control systems in operations address challenges promote sustainable farming practices. This study examines intersection precision agriculture (PA), aiming provide comprehensive understanding their combined mutually reinforcing relationship. Employing systematic literature review following Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) 2020 guidelines, we explore synergies transformative potential integrating systems. also aims identify present trends, opportunities utilizing Diverse forms practices are scrutinized discern applications Through critical analysis existing literature, this contributes deeper how can revolutionize PA, resulting improved efficiency, sustainability, productivity sector.
Language: Английский
Citations
9