[PDF][PDF] Applications of artificial intelligence in agriculture: A review.
NC Eli-Chukwu - Engineering, Technology & Applied …, 2019 - pdfs.semanticscholar.org
The application of Artificial Intelligence (AI) has been evident in the agricultural sector
recently. The sector faces numerous challenges in order to maximize its yield including …
recently. The sector faces numerous challenges in order to maximize its yield including …
Weed detection for site‐specific weed management: mapping and real‐time approaches
F López‐Granados - Weed Research, 2011 - Wiley Online Library
López‐Granados F (2011). Weed detection for site‐specific weed management: mapping
and real‐time approaches. Weed Research 51, 1–11. Summary This work describes the …
and real‐time approaches. Weed Research 51, 1–11. Summary This work describes the …
Analysis of transfer learning for deep neural network based plant classification models
Plant species classification is crucial for biodiversity protection and conservation. Manual
classification is time-consuming, expensive, and requires experienced experts who are often …
classification is time-consuming, expensive, and requires experienced experts who are often …
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems
Precision weed management offers a promising solution for sustainable cropping systems
through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply …
through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply …
Real-time image processing for crop/weed discrimination in maize fields
This paper presents a computer vision system that successfully discriminates between weed
patches and crop rows under uncontrolled lighting in real-time. The system consists of two …
patches and crop rows under uncontrolled lighting in real-time. The system consists of two …
Precision weed detection in wheat fields for agriculture 4.0: A survey of enabling technologies, methods, and research challenges
Weeds pose a serious threat to the safe wheat production. They are an important factor
contributing to the reduction in wheat yield and quality. The current weed control methods in …
contributing to the reduction in wheat yield and quality. The current weed control methods in …
Precision chemical weed management strategies: A review and a design of a new CNN-based modular spot sprayer
A Allmendinger, M Spaeth, M Saile, GG Peteinatos… - Agronomy, 2022 - mdpi.com
Site-specific weed control offers a great potential for herbicide savings in agricultural crops
without causing yield losses and additional weed management costs in the following years …
without causing yield losses and additional weed management costs in the following years …
Impact of climate change on biology and management of wheat pests
Wheat (Triticum aestivum L.) production is vital to global food security. Climate change is
threatening sustainable wheat production not only with direct negative effects on crop …
threatening sustainable wheat production not only with direct negative effects on crop …
Nonconventional weed management strategies for modern agriculture
Weeds are a significant problem in crop production and their management in modern
agriculture is crucial to avoid yield losses and ensure food security. Intensive agricultural …
agriculture is crucial to avoid yield losses and ensure food security. Intensive agricultural …
An interdisciplinary approach to artificial intelligence in agriculture
M Ryan, G Isakhanyan… - NJAS: Impact in …, 2023 - Taylor & Francis
Innovations in digital technologies, especially in artificial intelligence (AI), promise
substantial benefits to the agricultural sector. Agriculture is increasingly expected to ensure …
substantial benefits to the agricultural sector. Agriculture is increasingly expected to ensure …