Directed acyclic graphs-based diagnosis approach using small data sets for sustainability

Article Green & Sustainable Science & Technology

Sustainable water use through multiple cropping systems and precision irrigation

Ajmer Singh Brar et al.

Summary: Water resource management is crucial for sustainable agriculture, and multiple cropping systems can improve the environmental and economic sustainability by saving water and increasing farmers' returns.

JOURNAL OF CLEANER PRODUCTION (2022)

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Article Agronomy

Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Shengyi Zhao et al.

Summary: Crop disease diagnosis is crucial for crop yield and agricultural production. This study proposed a deep convolutional neural network with an attention mechanism for accurate diagnosis of tomato leaf diseases. Experimental results on both tomato leaf diseases dataset and grape leaf diseases dataset demonstrated the model's high performance in extracting complex disease features.

AGRICULTURE-BASEL (2021)

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Article Agriculture, Multidisciplinary

Enrichment of microbial taxa after the onset of wheat yellow mosaic disease

Chuanfa Wu et al.

Summary: The study found that the diversity of root-associated microbial communities significantly increased after wheat yellow mosaic disease infection, while the microbial community structure became more homogeneous. Different levels of plant disease resulted in significant differences in taxonomic composition, with certain enriched bacteria potentially contributing to pathogen suppression.

AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2021)

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Review Computer Science, Interdisciplinary Applications

Image-Based Surface Defect Detection Using Deep Learning: A Review

Prahar M. Bhatt et al.

Summary: The article discusses three different ways of classifying efforts in literature for surface defect detection using deep learning techniques, based on defect detection context, learning techniques, and defect localization and classification method. In addition, future research directions are identified based on trends in the field of deep learning.

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING (2021)

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Article Chemistry, Analytical

Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning

Canh Nguyen et al.

Summary: Early detection of grapevine viral diseases is crucial to prevent the spread of disease, and hyperspectral remote sensing can help achieve this by identifying important spectral features between infected and healthy vines. Disease-centric vegetation indices play a key role in classification, especially in selecting the feature space size, where support vector machine (SVM) and random forest (RF) classifiers each have their strengths.

SENSORS (2021)

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Article Ecology

VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant

Rakesh Chandra Joshi et al.

Summary: Various viral diseases adversely affect plant growth, leading to the need for automatic detection methods to monitor viral infections in crops. The proposed deep-learning-based method in this study is able to automatically detect viral infections in Vigna mungo, providing real-time classification on different categories of leaf images.

ECOLOGICAL INFORMATICS (2021)

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Article Computer Science, Interdisciplinary Applications

Design of a Serious Game for Children to Raise Awareness on Plastic Pollution and Promoting Pro-Environmental Behaviors

Loukia Panagiotopoulou et al.

Summary: The widespread presence of plastic in the oceans poses a serious threat to marine life and the environment, primarily due to poor waste management and excessive consumption of single-use plastic. In addition to policies and bans, raising consumer awareness, especially among young people, is crucial to promoting pro-environmental behaviors and addressing the issue.

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING (2021)

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Article Engineering, Multidisciplinary

Product sustainable design for carbon footprint during product life cycle

Bin He et al.

Summary: This paper proposes a low carbon design approach using multigraph and colour marking to address the uncertainty of carbon footprint caused by unknown product material solution. It also discusses a multi-stage product low carbon design model for product life cycle and presents an algorithm for searching the alternative set of optimal design.

JOURNAL OF ENGINEERING DESIGN (2021)

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Article Agriculture, Multidisciplinary

Wheat intraspecific diversity suppressed diseases with subdued yield, economic return and arthropod predation services

Julie Baniszewski et al.

Summary: Intraspecific mixtures of wheat cultivars show potential in suppressing pests and diseases while maintaining similar yields and economic returns, providing a valuable risk management strategy.

AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2021)

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Article Agriculture, Multidisciplinary

Design of a winter-jujube grading robot based on machine vision

Zhiheng Lu et al.

Summary: A winter-jujube grading robot was designed, with a method combining YOLOv3 algorithm and handengineered features for maturity calculation. The detection model showed high stability, performed well under different lighting conditions, and accurately detected overlapping winter-jujubes in images.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

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Article Computer Science, Information Systems

Crop disease monitoring and recognizing system by soft computing and image processing models

Shanwen Zhang et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2020)

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Article Agriculture, Multidisciplinary

A survey of public datasets for computer vision tasks in precision agriculture

Yuzhen Lu et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

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Review Agriculture, Multidisciplinary

Bacteriophage Usage for Bacterial Disease Management and Diagnosis in Plants

Nguyen Trung Vu et al.

PLANT PATHOLOGY JOURNAL (2020)

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Article Agriculture, Multidisciplinary

PD2SE-Net: Computer-assisted plant disease diagnosis and severity estimation network

Qiaokang Liang et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

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Review Agriculture, Multidisciplinary

A review on weed detection using ground-based machine vision and image processing techniques

Aichen Wang et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)

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Article Agriculture, Multidisciplinary

Rapid In Situ Analysis of Plant Emission for Disease Diagnosis Using a Portable Gas Chromatography Device

Ruchi Sharma et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2019)

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Article Green & Sustainable Science & Technology

A Self-Predictable Crop Yield Platform (SCYP) Based On Crop Diseases Using Deep Learning

SangSik Lee et al.

SUSTAINABILITY (2019)

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Review Agriculture, Multidisciplinary

The role of legumes in the sustainable intensification of African smallholder agriculture: Lessons learnt and challenges for the future

B. Vanlauwe et al.

AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2019)

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Article Entomology

Fusarium diseases of cultivated plants, control, diagnosis, and molecular and genetic studies

Tsutomu Arie

JOURNAL OF PESTICIDE SCIENCE (2019)

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Article Agronomy

Diagnosis of plant diseases using the Nanopore sequencing platform

L. Chalupowicz et al.

PLANT PATHOLOGY (2019)

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Article Agriculture, Multidisciplinary

Deep learning models for plant disease detection and diagnosis

Konstantinos P. Ferentinos

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)

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Article Agriculture, Multidisciplinary

An intelligent mobile application for diagnosis of crop diseases in Pakistan using fuzzy inference system

Muhammad Toseef et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)

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Article Computer Science, Interdisciplinary Applications

A Human-Centered Design of General-Purpose Unmanned Electric Vehicle Chassis for Agriculture Task Payload

Kuang Ma et al.

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING (2017)

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Article Computer Science, Interdisciplinary Applications

Optical Tracking of a Tactile Probe for the Reverse Engineering of Industrial Impellers

Sandro Barone et al.

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING (2017)

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Review Chemistry, Analytical

Potential Applications and Limitations of Electronic Nose Devices for Plant Disease Diagnosis

Antonio Cellini et al.

SENSORS (2017)

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Review Agricultural Engineering

A review on the main challenges in automatic plant disease identification based on visible range images

Jayme Garcia Arnal Barbedo

BIOSYSTEMS ENGINEERING (2016)

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Article Plant Sciences

Using Deep Learning for Image-Based Plant Disease Detection

Sharada P. Mohanty et al.

FRONTIERS IN PLANT SCIENCE (2016)

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Proceedings Paper Computer Science, Artificial Intelligence

Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis

Ernest Mwebaze et al.

ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION, WSOM 2016 (2016)

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Article Biochemical Research Methods

A Comparative Study on Application of Computer Vision and Fluorescence Imaging Spectroscopy for Detection of Huanglongbing Citrus Disease in the USA and Brazil

Caio B. Wetterich et al.

JOURNAL OF SPECTROSCOPY (2013)

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Article Computer Science, Artificial Intelligence

Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps

D Moshou et al.

REAL-TIME IMAGING (2005)

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Directed acyclic graphs-based diagnosis approach using small data sets for sustainability

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