AIMC Topic: Vegetables

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Vegetable Size Measurement Based on Stereo Camera and Keypoints Detection.

Sensors (Basel, Switzerland) Feb 18, 2022
This work focuses on the problem of non-contact measurement for vegetables in agricultural automation. The application of computer vision in assisted agricultural production significantly improves work efficiency due to the rapid development of infor...
Algorithms Vegetables Artificial Intelligence
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A novel deep learning-based method for detection of weeds in vegetables.

Pest management science Feb 2, 2022
BACKGROUND: Precision weed control in vegetable fields can substantially reduce the required weed control inputs. Rapid and accurate weed detection in vegetable fields is a challenging task due to the presence of a wide variety of weed species at var...
Vegetables Crops, Agricultural Deep Learning Weed Control Plant Weeds
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Application of classic and soft computing for modeling yield and environmental final impact in vegetable production (a case study: transplanting onion in Isfahan province, Iran).

Environmental science and pollution research international Jan 20, 2022
This study aimed to develop a precision model between inputs and yield, and also between inputs (indirect emissions) and environmental final index (EFI) in onion farms through regression models (classic computing) and artificial intelligence models (...
Onions Iran Neural Networks, Computer Vegetables Artificial Intelligence
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Robust seed germination prediction using deep learning and RGB image data.

Scientific reports Nov 11, 2021
Achieving seed germination quality standards poses a real challenge to seed companies as they are compelled to abide by strict certification rules, while having only partial seed separation solutions at their disposal. This discrepancy results with w...
Germination Models, Biological Vegetables Crops, Agricultural Deep Learning Seeds
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Combining novel technologies with interdisciplinary basic research to enhance horticultural crops.

The Plant journal : for cell and molecular biology Nov 10, 2021
Horticultural crops mainly include fruits, vegetables, ornamental trees and flowers, and tea trees (Melaleuca alternifolia). They produce a variety of nutrients for the daily human diet in addition to the nutrition provided by staple crops, and some ...
Nutrients Trees Artificial Intelligence Computational Biology Flowers Climate Change Crops, Agricultural Fruit Vegetables Interdisciplinary Research Horticulture Bioengineering Plant Breeding
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Spectroscopy and imaging technologies coupled with machine learning for the assessment of the microbiological spoilage associated to ready-to-eat leafy vegetables.

International journal of food microbiology Oct 29, 2021
Based on both new and previously utilized experimental data, the present study provides a comparative assessment of sensors and machine learning approaches for evaluating the microbiological spoilage of ready-to-eat leafy vegetables (baby spinach and...
Vegetables Spinacia oleracea Spectroscopy, Fourier Transform Infrared Least-Squares Analysis Machine Learning
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On the Prediction of Biogas Production from Vegetables, Fruits, and Food Wastes by ANFIS- and LSSVM-Based Models.

BioMed research international Sep 24, 2021
This study is aimed at modeling biodigestion systems as a function of the most influencing parameters to generate two robust algorithms on the basis of the machine learning algorithms, including adaptive network-based fuzzy inference system (ANFIS) a...
Support Vector Machine Fuzzy Logic Algorithms Refuse Disposal Computer Simulation Vegetables Biofuels Least-Squares Analysis Linear Models Food Fruit
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Reflectance spectroscopy with operator difference for determination of behenic acid in edible vegetable oils by using convolutional neural network and polynomial correction.

Food chemistry Jul 22, 2021
A novel polynomial correction method, order-adaptive polynomial correction (OAPC), was proposed to correct reflectance spectra with operator differences, and convolutional neural network (CNN) was used to develop analysis model to predict behenic aci...
Vegetables Spectrum Analysis Plant Oils Fatty Acids Neural Networks, Computer Support Vector Machine
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Non-Destructive Detection Pilot Study of Vegetable Organic Residues Using VNIR Hyperspectral Imaging and Deep Learning Techniques.

Sensors (Basel, Switzerland) Apr 21, 2021
Contamination is a critical issue that affects food consumption adversely. Therefore, efficient detection and classification of food contaminants are essential to ensure food safety. This study applied a visible and near-infrared (VNIR) hyperspectral...
Deep Learning Pilot Projects Vegetables Hyperspectral Imaging Neural Networks, Computer
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A Process Evaluation Examining the Performance, Adherence, and Acceptability of a Physical Activity and Diet Artificial Intelligence Virtual Health Assistant.

International journal of environmental research and public health Dec 7, 2020
Artificial intelligence virtual health assistants are a promising emerging technology. This study is a process evaluation of a 12-week pilot physical activity and diet program delivered by virtual assistant "Paola". This single-arm repeated measures ...
Motivation Humans Diet Aged Vegetables Middle Aged Artificial Intelligence Exercise
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