AIMC Topic: Seeds

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Rapid and nondestructive watermelon (Citrullus lanatus) seed viability detection based on visible near-infrared hyperspectral imaging technology and machine learning algorithms.

Journal of food science Jun 21, 2024
The improper storage of seeds can potentially compromise agricultural productivity, leading to reduced crop yields. Therefore, assessing seed viability before sowing is of paramount importance. Although numerous techniques exist for evaluating seed c...
Algorithms Spectroscopy, Near-Infrared Machine Learning Citrullus Hyperspectral Imaging Support Vector Machine Seeds
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Application of artificial neural networks to classify Avena fatua and Avena sterilis based on seed traits: insights from European Avena populations primarily from the Balkan Region.

BMC plant biology Jun 12, 2024
BACKGROUND: Avena fatua and A. sterilis are challenging to distinguish due to their strong similarities. However, Artificial Neural Networks (ANN) can effectively extract patterns and identify these species. We measured seed traits of Avena species f...
Balkan Peninsula Neural Networks, Computer Seeds Europe Avena
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Discrimination of internal crack for rice seeds using near infrared spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 1, 2024
It is an important thing to identify internal crack in seeds from normal seeds for evaluating the quality of rice seeds (Oryza sativa L.). In this study, non-destructive discrimination of internal crack in rice seeds using near infrared spectroscopy ...
Discriminant Analysis Support Vector Machine Oryza Seeds Principal Component Analysis Spectroscopy, Near-Infrared Least-Squares Analysis
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The use of image analysis to study the effect of moisture content on the physical properties of grains.

Scientific reports May 22, 2024
Designing machines and equipment for post-harvest operations of agricultural products requires information about their physical properties. The aim of the work was to evaluate the possibility of introducing a new approach to predict the moisture cont...
Seeds Zea mays Water Image Processing, Computer-Assisted Edible Grain Neural Networks, Computer
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Rice Origin Tracing Technology Based on Fluorescence Spectroscopy and Stoichiometry.

Sensors (Basel, Switzerland) May 9, 2024
The origin of agricultural products is crucial to their quality and safety. This study explored the differences in chemical composition and structure of rice from different origins using fluorescence detection technology. These differences are mainly...
Starch Riboflavin NADP Spectrometry, Fluorescence Oryza Support Vector Machine Seeds Algorithms
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A dataset for fine-grained seed recognition.

Scientific data Apr 6, 2024
The research of plant seeds has always been a focus of agricultural and forestry research, and seed identification is an indispensable part of it. With the continuous application of artificial intelligence technology in the field of agriculture, seed...
Agriculture Seeds Artificial Intelligence Forestry
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Leveraging three-tier deep learning model for environmental cleaner plants production.

Scientific reports Nov 9, 2023
The world's population is expected to exceed 9 billion people by 2050, necessitating a 70% increase in agricultural output and food production to meet the demand. Due to resource shortages, climate change, the COVID-19 pandemic, and highly harsh soci...
Humans Pandemics Deep Learning Seedlings Agriculture Seeds
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A quality detection method of corn based on spectral technology and deep learning model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 27, 2023
Corn is an important food crop in the world. With economic development and population growth, the nutritional quality of corn is of great significance to high-quality breeding, scientific cultivation and fine management. Aiming at the problems of cum...
Zea mays Principal Component Analysis Bayes Theorem Support Vector Machine Seeds Technology Deep Learning Algorithms
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Air-to-land transitions: from wingless animals and plant seeds to shuttlecocks and bio-inspired robots.

Bioinspiration & biomimetics Aug 8, 2023
Recent observations of wingless animals, including jumping nematodes, springtails, insects, and wingless vertebrates like geckos, snakes, and salamanders, have shown that their adaptations and body morphing are essential for rapid self-righting and c...
Insecta Gravitation Seeds Biomechanical Phenomena Robotics Flight, Animal Animals
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Decoding the physiological response of plants to stress using deep learning for forecasting crop loss due to abiotic, biotic, and climatic variables.

Scientific reports May 26, 2023
This paper presents a simple method for detecting both biotic and abiotic stress in plants. Stress levels are measured based on the increase in nutrient uptake by plants as a mechanism of self-defense when under stress. A continuous electrical resist...
Stress, Physiological Cicer Plants Deep Learning Nutrients Seeds
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