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Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …
prerequisite for the accomplishment of various tasks. However, precision navigation of …
A survey of image processing techniques for plant extraction and segmentation in the field
In this review, we present a comprehensive and critical survey on image-based plant
segmentation techniques. In this context,“segmentation” refers to the process of classifying …
segmentation techniques. In this context,“segmentation” refers to the process of classifying …
A review on the main challenges in automatic plant disease identification based on visible range images
Highlights•The challenges involved in the automatic identification of plant diseases are
characterised.•The impact of those challenges on current proposals is discussed.•Possible …
characterised.•The impact of those challenges on current proposals is discussed.•Possible …
Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants
Recent advancements in the area of computer vision-based plant phenoty** are playing
an important role, in determining the quantitative phenotypes of plants, and crop yield …
an important role, in determining the quantitative phenotypes of plants, and crop yield …
Leaf disease segmentation and classification of Jatropha Curcas L. and Pongamia Pinnata L. biofuel plants using computer vision based approaches
Several efforts have been made in finding alternate sources of energy. The production of bio-
fuel from the extracts of plants like Jatropha Curcas L. and Pongamia Pinnata L. is most …
fuel from the extracts of plants like Jatropha Curcas L. and Pongamia Pinnata L. is most …
Cabbage and weed identification based on machine learning and target spraying system design
X Zhao, X Wang, C Li, H Fu, S Yang… - Frontiers in plant …, 2022 - frontiersin.org
The complexity of natural elements seriously affects the accuracy and stability of field target
identification, and the speed of an identification algorithm essentially limits the practical …
identification, and the speed of an identification algorithm essentially limits the practical …
Multiclass weed identification using semantic segmentation: An automated approach for precision agriculture
Accurate identification and categorization of numerous weed species are critical for
implementing effective control measures and management methods in precision agriculture …
implementing effective control measures and management methods in precision agriculture …
Fuzzy superpixels for polarimetric SAR images classification
Superpixels technique has drawn much attention in computer vision applications. Each
superpixels algorithm has its own advantages. Selecting a more appropriate superpixels …
superpixels algorithm has its own advantages. Selecting a more appropriate superpixels …
A methodology for the detection of nitrogen deficiency in corn fields using high-resolution RGB imagery
A major component of an efficient farming strategy is the precise detection and
characterization of plant deficiencies followed by the proper deployment of fertilizers …
characterization of plant deficiencies followed by the proper deployment of fertilizers …
[HTML][HTML] Fig plant segmentation from aerial images using a deep convolutional encoder-decoder network
Crop segmentation is an important task in Precision Agriculture, where the use of aerial
robots with an on-board camera has contributed to the development of new solution …
robots with an on-board camera has contributed to the development of new solution …