Recent advances in crop disease detection using UAV and deep learning techniques
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms,
sensors and software, UAVs have gained popularity among precision agriculture …
sensors and software, UAVs have gained popularity among precision agriculture …
Orchard monitoring based on unmanned aerial vehicles and image processing by artificial neural networks: a systematic review
Orchard monitoring is a vital direction of scientific research and practical application for
increasing fruit production in ecological conditions. Recently, due to the development of …
increasing fruit production in ecological conditions. Recently, due to the development of …
Detection of Tea Leaf Blight in Low-Resolution UAV Remote Sensing Images
G Hu, R Ye, M Wan, W Bao, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The accurate detection of tea leaf blight (TLB) from low-resolution (LR) images of tea plants
is a challenging task. The small size, high density, and blurred edge details of diseased tea …
is a challenging task. The small size, high density, and blurred edge details of diseased tea …
[HTML][HTML] Use of RGB images from unmanned aerial vehicle to estimate lettuce growth in root-knot nematode infested soil
VP Cavalcanti, AF dos Santos, FA Rodrigues… - Smart Agricultural …, 2023 - Elsevier
Lettuce (Lactuca sativa) is an important horticultural commodity all over the world, and its
growth can be affected by root-knot nematodes (Meloidogyne spp.). To keep track of plant …
growth can be affected by root-knot nematodes (Meloidogyne spp.). To keep track of plant …
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning
Every year, plant parasitic nematodes, one of the major groups of plant pathogens, cause a
significant loss of crops worldwide. To mitigate crop yield losses caused by nematodes, an …
significant loss of crops worldwide. To mitigate crop yield losses caused by nematodes, an …
Enhanced Convolutional Neural Network Model for Crop Disease Identification using UAV Imagery
With the rising growth in population, the need for food production is increasing day by day.
This fosters the need for sustainable food production. However, agricultural products are …
This fosters the need for sustainable food production. However, agricultural products are …
Internet of Things assisted Unmanned Aerial Vehicle for Pest Detection with Optimized Deep Learning Model
W Intelligence - content.iospress.com
IoT technologies & UAVs are frequently utilized in ecological monitoring areas. Unmanned
Aerial Vehicles (UAVs) & IoT in farming technology can evaluate crop disease & pest …
Aerial Vehicles (UAVs) & IoT in farming technology can evaluate crop disease & pest …
Entrenamiento de redes neuronales para la identificación de plagas en cultivos de café.
GA Avila Perez - 2022 - upnblib.pedagogica.edu.co
En este documento se encuentra el desarrollo de una aplicación para Android usando
redes neuronales por medio de la librería de código abierto TensorFlow con el fin de …
redes neuronales por medio de la librería de código abierto TensorFlow con el fin de …
[PDF][PDF] Smart Agricultural Technology
VP Cavalcanti, AF dos Santos, FA Rodrigues… - researchgate.net
Lettuce (Lactuca sativa) is an important horticultural commodity all over the world, and its
growth can be affected by root-knot nematodes (Meloidogyne spp.). To keep track of plant …
growth can be affected by root-knot nematodes (Meloidogyne spp.). To keep track of plant …