AIMC Topic: Agriculture

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Efficacy of GIS-based AHP and data-driven intelligent machine learning algorithms for irrigation water quality prediction in an agricultural-mine district within the Lower Benue Trough, Nigeria.

Environmental science and pollution research international Feb 1, 2023
Agricultural productivity can be impaired by poor irrigation water quality. Therefore, adequate vulnerability assessment and identification of the most influential water quality parameters for accurate prediction becomes crucial for enhanced water re...
Algorithms Geographic Information Systems Machine Learning Environmental Monitoring Water Quality Agricultural Irrigation Nigeria Agriculture
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Agricultural biotechnology for sustainable food security.

Trends in biotechnology Jan 27, 2023
Of late, global food security has been under threat by the coronavirus disease 2019 (COVID-19) pandemic and the recent military conflict in Eastern Europe. This article presents the objectives of the Sustainable Development Goals and the European Gre...
Biotechnology Food Security Humans Artificial Intelligence Agriculture COVID-19 Food Supply
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AI-Driven Validation of Digital Agriculture Models.

Sensors (Basel, Switzerland) Jan 20, 2023
Digital agriculture employs artificial intelligence (AI) to transform data collected in the field into actionable crop management. Effective digital agriculture models can detect problems early, reducing costs significantly. However, ineffective mode...
Agriculture Neural Networks, Computer Random Forest Artificial Intelligence Technology
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Blockchain-Driven Intelligent Scheme for IoT-Based Public Safety System beyond 5G Networks.

Sensors (Basel, Switzerland) Jan 14, 2023
Mobile applications have rapidly grown over the past few decades to offer futuristic applications, such as autonomous vehicles, smart farming, and smart city. Such applications require ubiquitous, real-time, and secure communications to deliver servi...
Agriculture Intelligence Computer Security Blockchain Artificial Intelligence Reproducibility of Results
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Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach.

Environmental science and pollution research international Jan 9, 2023
Poor irrigation water quality can mar agricultural productivity. Traditional assessment of irrigation water quality usually requires the computation of various conventional quality parameters, which is often time-consuming and associated with errors ...
Geographic Information Systems Nigeria Neural Networks, Computer Machine Learning Water Quality Agricultural Irrigation Agriculture Environmental Monitoring
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Comparing State-of-the-Art Deep Learning Algorithms for the Automated Detection and Tracking of Black Cattle.

Sensors (Basel, Switzerland) Jan 3, 2023
Effective livestock management is critical for cattle farms in today's competitive era of smart modern farming. To ensure farm management solutions are efficient, affordable, and scalable, the manual identification and detection of cattle are not fea...
Dairying Farms Deep Learning Cattle Agriculture Female Animals Humans Algorithms
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Collaborative 3D Scene Reconstruction in Large Outdoor Environments Using a Fleet of Mobile Ground Robots.

Sensors (Basel, Switzerland) Dec 29, 2022
Teams of mobile robots can be employed in many outdoor applications, such as precision agriculture, search and rescue, and industrial inspection, allowing an efficient and robust exploration of large areas and enhancing the operators' situational awa...
Agriculture Awareness Reproducibility of Results Robotics Communication
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Farmland quality assessment using deep fully convolutional neural networks.

Environmental monitoring and assessment Dec 28, 2022
Farmland is the cornerstone of agriculture and is important for food security and social production. Farmland assessment is essential but traditional methods are usually expensive and slow. Deep learning methods have been developed and widely applied...
Neural Networks, Computer Environmental Monitoring Image Processing, Computer-Assisted Machine Learning Agriculture Farms
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Sensor-Driven Human-Robot Synergy: A Systems Engineering Approach.

Sensors (Basel, Switzerland) Dec 20, 2022
Knowledge-based synergistic automation is a potential intermediate option between the opposite extremes of manual and fully automated robotic labor in agriculture. Disruptive information and communication technologies (ICT) and sophisticated solution...
Engineering Robotics Humans Knowledge Bases Farms Agriculture
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Robotics-assisted, organic agricultural-biotechnology based environment-friendly healthy food option: Beyond the binary of GM versus Organic crops.

Journal of biotechnology Dec 5, 2022
Human society cannot afford the luxury of the business-as-usual approach when dealing with the emerging challenges of the 21st century. The challenges of food production to meet the pace of population growth in an environmentally-sustainable manner h...
Crops, Agricultural Biotechnology Organic Agriculture Humans Artificial Intelligence Agriculture
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