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Advanced Technologies in Agricultural Engineering and Energy Optimization
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The use of renewable energy plays an important role in agriculture, where technologies are also being improved from year to year; agricultural production is growing, and machinery and systems are becoming more autonomous and robotic, which is no longer possible without complex computing, optimization, planning, and working with large amounts of data. Nowadays, a large amount of unstructured heterogeneous data fuels the demand to extract useful insights in an automatic, reliable, and scalable way. The agriculture sector, however, is historically less receptive to innovation and lags behind the implementation of contemporary solutions, which defines the relevance of this Special Issue. This reprint covers high-quality papers from academics and industry-related researchers in the areas of power supply in rural areas, biofuels and renewable energies used in agriculture, energy efficiency and conservation in agriculture, agricultural robotic applications, livestock production, application of electrophysical impact on agricultural objects, technologies in harvesting and seed machinery, solutions for digital and precision agriculture, applied mathematics, environmental bioengineering, machine learning, artificial intelligence, pattern recognition, data mining, multimedia processing, and big data to show the most recently advanced methods.
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Keywords
- AI
- Biodiesel
- Business Aspects
- CH4
- CNN
- CO2
- combustion
- computational cost
- Computer vision
- convolution neural network
- CUDA
- deep learning
- demonstration sites
- DenseNet
- DFIG
- diesel engine
- district heating
- doubly-fed induction generator
- EfficienNet
- engine dynamometer
- ensemble learning
- extended Kalman filter
- Fractional calculus
- fractional order control
- generalized regression neural network (GRNN)
- greenhouse gases (GHG)
- image classification
- image similarity
- Inception–ResNet
- indoor localization
- kalman filter (KF)
- light-emitting diode
- long short-term memory
- moisture forecasting
- MPPT
- MSW
- non-integer integral-differential equations
- NOx emission levels
- object tracking
- oil-immersed insulation
- particulate matter (PM)
- pellet boiler
- Photosynthesis
- PM emission levels
- power transformer
- productivity
- Python
- PyTorch
- rape straw pellets
- rapeseed straw pellets
- received signal strength indicator (RSSI)
- red leaf mustard
- renewable energy
- sensorless control
- Siamese network
- spectral composition of light
- Support Vector Regression (SVR)
- tractor engine
- trilateration
- urban waste heat
- Vector control
- WECs
- wind energy conversion system
Links
DOI: 10.3390/books978-3-7258-0919-6Editions