Precision irrigation management using machine learning and digital farming solutions
Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
[BOOK][B] What is machine learning?
I El Naqa, MJ Murphy - 2015 - Springer
Abstract Machine learning is an evolving branch of computational algorithms that are
designed to emulate human intelligence by learning from the surrounding environment …
designed to emulate human intelligence by learning from the surrounding environment …
Instance segmentation for large, multi-channel remote sensing imagery using mask-RCNN and a mosaicking approach
Instance segmentation is the state-of-the-art in object detection, and there are numerous
applications in remote sensing data where these algorithms can produce significant results …
applications in remote sensing data where these algorithms can produce significant results …
[HTML][HTML] A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution …
Classification of very high resolution imagery (VHRI) is challenging due to the difficulty in
mining complex spatial and spectral patterns from rich image details. Various object-based …
mining complex spatial and spectral patterns from rich image details. Various object-based …
A deep learning image segmentation model for agricultural irrigation system classification
Effective water management requires a large-scale understanding of agricultural irrigation
systems and how they shift in response to various stressors. Here, we leveraged advances …
systems and how they shift in response to various stressors. Here, we leveraged advances …
A lightweight model of VGG-16 for remote sensing image classification
M Ye, N Ruiwen, Z Chang, G He… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
In planetary science, it is an important basic work to recognize and classify the features of
topography and geomorphology from the massive data of planetary remote sensing …
topography and geomorphology from the massive data of planetary remote sensing …
Automatic map** of center pivot irrigation systems from satellite images using deep learning
The availability of freshwater is becoming a global concern. Because agricultural
consumption has been increasing steadily, the map** of irrigated areas is key for …
consumption has been increasing steadily, the map** of irrigated areas is key for …
Map** center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources
Ensuring freshwater availability and supply sufficient for socio-economic development is
important for human health and productivity. Globally, increasing industrial agriculture is …
important for human health and productivity. Globally, increasing industrial agriculture is …
A deep learning classification approach using high spatial satellite images for detection of built-up areas in rural zones: Case study of Souss-Massa region-Morocco
The buildings in the rural areas of Morocco exist in various shapes and sizes. They are
randomly distributed and are generally constructed of primary materials such as clay, wood …
randomly distributed and are generally constructed of primary materials such as clay, wood …