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Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
Crop protection is a key activity for the sustainability and feasibility of agriculture in a current
context of climate change, which is causing the destabilization of agricultural practices and …
context of climate change, which is causing the destabilization of agricultural practices and …
Applied deep learning-based crop yield prediction: A systematic analysis of current developments and potential challenges
Agriculture is essential for global income, poverty reduction, and food security, with crop
yield being a crucial measure in this field. Traditional crop yield prediction methods, reliant …
yield being a crucial measure in this field. Traditional crop yield prediction methods, reliant …
[HTML][HTML] Analysis of Stable Diffusion-derived fake weeds performance for training Convolutional Neural Networks
Weeds challenge crops by competing for resources and spreading diseases, impacting crop
yield and quality. Effective weed detection can enhance herbicide application, thus reducing …
yield and quality. Effective weed detection can enhance herbicide application, thus reducing …
[HTML][HTML] Early weed identification based on deep learning: A review
Y Zhang, M Wang, D Zhao, C Liu, Z Liu - Smart Agricultural Technology, 2023 - Elsevier
Weeds were one of the most destructive constraints on crop production and posed a
significant threat to agricultural productivity. The increasing development of smart agriculture …
significant threat to agricultural productivity. The increasing development of smart agriculture …
Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale crop** systems
The past 50 yr of advances in weed recognition technologies have poised site-specific weed
control (SSWC) on the cusp of requisite performance for large-scale production systems …
control (SSWC) on the cusp of requisite performance for large-scale production systems …
VegAnn, vegetation annotation of multi-crop RGB images acquired under diverse conditions for segmentation
Applying deep learning to images of crop** systems provides new knowledge and
insights in research and commercial applications. Semantic segmentation or pixel-wise …
insights in research and commercial applications. Semantic segmentation or pixel-wise …
When crops meet machine vision: A review and development framework for a low-cost nondestructive online monitoring technology in agricultural production
X Lv, X Zhang, H Gao, T He, Z Lv… - Agriculture …, 2024 - Elsevier
Abstract The Food and Agriculture Organization (FAO) has indicated that digital technology
is key for improving the resilience of food systems. Smart models have been developed for …
is key for improving the resilience of food systems. Smart models have been developed for …
Laser weeding: opportunities and challenges for couch grass (Elymus repens (L.) Gould) control
C Andreasen, E Vlassi, N Salehan - Scientific Reports, 2024 - nature.com
Laser weeding may contribute to less dependency on herbicides and soil tillage. Several
research and commercial projects are underway to develop robots equipped with lasers to …
research and commercial projects are underway to develop robots equipped with lasers to …
[HTML][HTML] Deep learning YOLO-based solution for grape bunch detection and assessment of biophysical lesions
The world wine sector is a multi-billion dollar industry with a wide range of economic
activities. Therefore, it becomes crucial to monitor the grapevine because it allows a more …
activities. Therefore, it becomes crucial to monitor the grapevine because it allows a more …
[HTML][HTML] CNN-MLP-Based configurable robotic arm for Smart Agriculture
Amidst escalating global populations and dwindling arable lands, enhancing agricultural
productivity and sustainability is imperative. Addressing the inefficiencies of traditional …
productivity and sustainability is imperative. Addressing the inefficiencies of traditional …