AIMC Topic: Crops, Agricultural

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TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield.

Plant communications May 15, 2024
Yield prediction is the primary goal of genomic selection (GS)-assisted crop breeding. Because yield is a complex quantitative trait, making predictions from genotypic data is challenging. Transfer learning can produce an effective model for a target...
Neural Networks, Computer Triticum Oryza Crops, Agricultural Plant Breeding Genotype Zea mays Machine Learning Phenotype
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Machine learning-based potential loss assessment of maize and rice production due to flash flood in Himachal Pradesh, India.

Environmental monitoring and assessment May 2, 2024
Flash floods in mountainous regions like the Himalayas are considered to be common natural calamities. Their consequences often are more dangerous than any flood event in the plains. These hazards not only put human lives at threat but also cause eco...
Agriculture Environmental Monitoring Crops, Agricultural Machine Learning Zea mays Floods India Oryza
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An effective segmentation and attention-based reptile residual capsule auto encoder for pest classification.

Pest management science Apr 25, 2024
PURPOSE: Insect pests are a major global factor affecting agricultural crop productivity and quality. Rapid and precise insect pest detection is crucial for improving handling and prediction techniques. There are several methods for pest detection an...
Crops, Agricultural Insect Control Animals Deep Learning Image Processing, Computer-Assisted Insecta
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Segmentation and detection of crop pests using novel U-Net with hybrid deep learning mechanism.

Pest management science Apr 9, 2024
OBJECTIVE: In India, agriculture is the backbone of economic sectors because of the increasing demand for agricultural products. However, agricultural production has been affected due to the presence of pests in crops. Several methods were developed ...
Deep Learning India Pest Control Image Processing, Computer-Assisted Crops, Agricultural
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BreedingAIDB: A database integrating crop genome-to-phenotype paired data with machine learning tools applicable to breeding.

Plant communications Apr 3, 2024
Crops, Agricultural Genome, Plant Plant Breeding Phenotype Machine Learning Databases, Genetic
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Research on precise phenotype identification and growth prediction of lettuce based on deep learning.

Environmental research Apr 1, 2024
In recent years, precision agriculture, driven by scientific monitoring, precise management, and efficient use of agricultural resources, has become the direction for future agricultural development. The precise identification and assessment of pheno...
Crops, Agricultural Lactuca Deep Learning Agriculture Phenotype
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Evaluation of two deep learning-based approaches for detecting weeds growing in cabbage.

Pest management science Feb 7, 2024
BACKGROUND: Machine vision-based precision weed management is a promising solution to substantially reduce herbicide input and weed control cost. The objective of this research was to compare two different deep learning-based approaches for detecting...
Weed Control Deep Learning Brassica Plant Weeds Crops, Agricultural
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Harnessing artificial intelligence for analysing the impacts of nectar and pollen feeding in conservation biological control.

Current opinion in insect science Feb 2, 2024
Plant-derived foods, such as nectar and pollen, have garnered substantial research attention due to their potential to support natural enemies of pests. This review is a pioneering exploration of the potential for artificial intelligence approaches t...
Animals Flowers Crops, Agricultural Pollen Plant Nectar Artificial Intelligence
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Deep learning-based association analysis of root image data and cucumber yield.

The Plant journal : for cell and molecular biology Jan 9, 2024
The root system is important for the absorption of water and nutrients by plants. Cultivating and selecting a root system architecture (RSA) with good adaptability and ultrahigh productivity have become the primary goals of agricultural improvement. ...
Seedlings Crops, Agricultural Deep Learning Plant Roots Image Processing, Computer-Assisted Cucumis sativus
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Based on the multi-scale information sharing network of fine-grained attention for agricultural pest detection.

PloS one Oct 5, 2023
It is of great significance to identify the pest species accurately and control it effectively to reduce the loss of agricultural products. The research results of this project will provide theoretical basis for preventing and controlling the spread ...
Agriculture Information Dissemination Algorithms Insecta Crops, Agricultural Animals Neural Networks, Computer
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