AIMC Topic: Agriculture

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Enriching IoT Modules with Edge AI Functionality to Detect Water Misuse Events in a Decentralized Manner.

Sensors (Basel, Switzerland) Jun 28, 2022
The digital transformation of agriculture is a promising necessity for tackling the increasing nutritional needs of the population on Earth and the degradation of natural resources. Focusing on the "hot" area of natural resource preservation, the rec...
Machine Learning Water Agriculture Internet of Things Humans Artificial Intelligence
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Optimization of Sample Construction Based on NDVI for Cultivated Land Quality Prediction.

International journal of environmental research and public health Jun 24, 2022
The integrated use of remote sensing technology and machine learning models to evaluate cultivated land quality (CLQ) quickly and efficiently is vital for protecting these lands. The effectiveness of machine-learning methods can be profoundly influen...
Cities Agriculture Neural Networks, Computer Support Vector Machine Remote Sensing Technology
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The livestock farming digital transformation: implementation of new and emerging technologies using artificial intelligence.

Animal health research reviews Jun 9, 2022
Livestock welfare assessment helps monitor animal health status to maintain productivity, identify injuries and stress, and avoid deterioration. It has also become an important marketing strategy since it increases consumer pressure for a more humane...
Artificial Intelligence Animal Welfare Animals Livestock Farms Agriculture
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Artificial intelligence solutions enabling sustainable agriculture: A bibliometric analysis.

PloS one Jun 9, 2022
There is a dearth of literature that provides a bibliometric analysis concerning the role of Artificial Intelligence (AI) in sustainable agriculture therefore this study attempts to fill this research gap and provides evidence from the studies conduc...
United States Bibliometrics Publications Artificial Intelligence Authorship Agriculture
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A Novel Interannual Rainfall Runoff Equation Derived from Ol'Dekop's Model Using Artificial Neural Networks.

Sensors (Basel, Switzerland) Jun 8, 2022
In water resources management, modeling water balance factors is necessary to control dams, agriculture, irrigation, and also to provide water supply for drinking and industries. Generally, conceptual and physical models present challenges to find mo...
Neural Networks, Computer Reproducibility of Results Water Movements Agriculture Water Supply Water
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Climate Change Effects on Pathogen Emergence: Artificial Intelligence to Translate Big Data for Mitigation.

Annual review of phytopathology Jun 1, 2022
Plant pathology has developed a wide range of concepts and tools for improving plant disease management, including models for understanding and responding to new risks from climate change. Most of these tools can be improved using new advances in art...
Artificial Intelligence Agriculture Climate Change Machine Learning Big Data
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Innovative Mechanism of Rural Finance: Risk Assessment Methods and Impact Factors of Agricultural Loans Based on Personal Emotion and Artificial Intelligence.

Journal of environmental and public health May 21, 2022
Agricultural finance is in an embarrassing position in the current financial environment, especially during the process of COVID-19. Based on a small-scale peasant economy, it can no longer meet the rapidly rising demand of farmers for agricultural f...
COVID-19 Risk Assessment Artificial Intelligence Agriculture Emotions Humans
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E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining.

Computational intelligence and neuroscience May 18, 2022
China Internet plus agriculture was first put forward in 2015 by the Chinese government's work report, laying the foundation for the development of Internet plus agriculture and promoting the rapid growth of e-commerce marketing of agricultural produ...
Commerce Marketing Data Mining Deep Learning Agriculture
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Deciphering the blackbox of omics approaches and artificial intelligence in food waste transformation and mitigation.

International journal of food microbiology Apr 28, 2022
It is necessary to stop the wastage of food during any stage of food chain to resolve the challenge of starvation, hunger and malnutrition in the world. Inception of modern techniques like omics (metagenomics, proteomics, transcriptomics, wasteomics,...
Humans Artificial Intelligence Child Agriculture Food Food Supply Refuse Disposal
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A hybrid machine learning approach for estimating the water-use efficiency and yield in agriculture.

Scientific reports Apr 25, 2022
This paper introduces the narrow strip irrigation (NSI) method and aims to estimate water-use efficiency (WUE) and yield in apple orchards under NSI in the Miandoab region located southeast of Lake Urmia using a machine learning approach. To perform ...
Fuzzy Logic Machine Learning Algorithms Water Agriculture
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