Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …
driven by several factors, which include the widespread availability of economically-priced …
[HTML][HTML] Machine learning in agriculture domain: A state-of-art survey
Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …
Agriculture not only fulfills humans' basic needs, but also considered as source of …
[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenoty**: a review
Plant phenoty** has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …
breeding programs, understanding plant-environment interactions, and managing …
A review of deep learning applications for genomic selection
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction
methods have been proposed including the standard additive genetic effect model for which …
methods have been proposed including the standard additive genetic effect model for which …
A survey on deep learning and its impact on agriculture: challenges and opportunities
M Albahar - Agriculture, 2023 - mdpi.com
The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …
advancements in the use of deep learning (DL) in the agricultural sector. The author …
[HTML][HTML] Machine learning for plant breeding and biotechnology
Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
Detection of symptoms in grape leaves is a very important factor in preventing a serious
disease. An epidemic spread in vineyards has huge economic consequences and therefore …
disease. An epidemic spread in vineyards has huge economic consequences and therefore …
Deep learning: As the new frontier in high-throughput plant phenoty**
With climate change and ever-increasing population growth, the pace of varietal
development needs to be accelerated in order to feed a population of 10 billion by 2050 …
development needs to be accelerated in order to feed a population of 10 billion by 2050 …
Revolutionizing agricultureA comprehensive review of artificial intelligence techniques in farming
GS Kashyap, P Kamani, M Kanojia… - Research Advances …, 2024 - taylorfrancis.com
Artificial intelligence (AI) is a relatively new branch of information technology. It is one of the
pillars of many industrial innovations, as well as a critical component in supporting and …
pillars of many industrial innovations, as well as a critical component in supporting and …
Smart farming becomes even smarter with deep learning—a bibliographical analysis
Z Ünal - IEEE access, 2020 - ieeexplore.ieee.org
Smart farming is a new concept that makes agriculture more efficient and effective by using
advanced information technologies. The latest advancements in connectivity, automation …
advanced information technologies. The latest advancements in connectivity, automation …