AIMC Topic: Agriculture

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Classification Accuracy Improvement for Small-Size Citrus Pests and Diseases Using Bridge Connections in Deep Neural Networks.

Sensors (Basel, Switzerland) Sep 3, 2020
Due to the rich vitamin content in citrus fruit, citrus is an important crop around the world. However, the yield of these citrus crops is often reduced due to the damage of various pests and diseases. In order to mitigate these problems, several con...
Neural Networks, Computer Insecta Plant Diseases Citrus Animals Agriculture
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Yield prediction with machine learning algorithms and satellite images.

Journal of the science of food and agriculture Aug 24, 2020
BACKGROUND: Barley is one of the strategic agricultural products available in the world, and yield prediction is important for ensuring food security. One way of estimating a product is to use remote sensing data in conjunction with field data and me...
Hordeum Remote Sensing Technology Seasons Machine Learning Algorithms Agriculture
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Multi-period evaluation and selection of rural wastewater treatment technologies: a case study.

Environmental science and pollution research international Aug 17, 2020
Rapid population growth and agricultural development are generating a considerable amount of effluents, which poses threats to the quality of rural water resources as well as sanitary conditions. However, with a range of rural wastewater treatment (W...
Water Resources Wastewater Agriculture Technology Fuzzy Logic
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Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture.

Sensors (Basel, Switzerland) Jul 24, 2020
Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world's growing population while limiting environmental pollution. The aim of this pap...
Internet of Things Reproducibility of Results Agriculture Artificial Intelligence Soil
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Exploring the multiscale hydrologic regulation of multipond systems in a humid agricultural catchment.

Water research Jul 11, 2020
Assessing the hydrologic processes over scales ranging from single wetland to regional is critical to understand the hydrologically-driven ecosystem services especially nutrient buffering of wetlands. Here, we present a novel approach to quantify the...
Artificial Intelligence Agriculture Rivers Hydrology Ecosystem China
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UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture.

Sensors (Basel, Switzerland) Apr 29, 2020
Precision agriculture is considered to be a fundamental approach in pursuing a low-input, high-efficiency, and sustainable kind of agriculture when performing site-specific management practices. To achieve this objective, a reliable and updated descr...
Crops, Agricultural Satellite Imagery Italy Seasons Plant Leaves Remote Sensing Technology Neural Networks, Computer Farms Agriculture Machine Learning
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Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model.

Sensors (Basel, Switzerland) Feb 29, 2020
Smart agricultural sensing has enabled great advantages in practical applications recently, making it one of the most important and valuable systems. For outdoor plantation farms, the prediction of climate data, such as temperature, wind speed, and h...
Deep Learning Agriculture Crops, Agricultural Temperature
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Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?

Current opinion in biotechnology Feb 18, 2020
Human population growth and accelerated climate change necessitate agricultural improvements using designer crop ideotypes (idealized plants that can grow in niche environments). Diverse and highly skilled research groups must integrate efforts to br...
United Nations Goals Sustainable Development Humans Artificial Intelligence Agriculture
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A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants.

Scientific reports Jan 20, 2020
In agricultural robotics, a unique challenge exists in the automated planting of bulbous plants: the estimation of the bulb's growth direction. To date, no existing work addresses this challenge. Therefore, we propose the first robotic vision framewo...
X-Rays Neural Networks, Computer Machine Learning Robotics Plant Roots Sensitivity and Specificity Algorithms Imaging, Three-Dimensional Agriculture Forecasting
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Spatiotemporal dynamics of urbanization and cropland in the Nile Delta of Egypt using machine learning and satellite big data: implications for sustainable development.

Environmental monitoring and assessment Nov 23, 2019
The Nile Delta of Egypt is increasingly facing sustainability threats, due to a combination of nature- and human-induced changes in land cover and land use. In this paper, an analysis of big time series data from remotely sensed satellite images and ...
Egypt Agriculture City Planning Humans Sustainable Development Environmental Monitoring Urbanization Conservation of Natural Resources Machine Learning Satellite Imagery
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