Deep Learning methods for biotic and abiotic stresses detection in fruits and vegetables: state of the art and perspectives

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agriculture

Type de record:

paperposter

Deep Learning methods for biotic and abiotic stresses detection in fruits and vegetables: state of the art and perspectives

Poster presented at the Deep Learning Indaba 2022 by Ariane HOUETOHOSSOU

Precooling and Cold Storage Methods for Fruits and Vegetables in Sub-Saharan Africa—A Review

Fruits and vegetables, known for their large nutrient potential, are more susceptible to high postha

Major biotic stresses affecting maize production in Kenya and their implications for food security

Maize ( Zea mays L.) is a staple food for many households in sub-Saharan Africa (SSA) and also cont

Applications of CRISPR/Cas9 for Biotic and Abiotic Stress Resistance of Rice (Oryza sativa)

International audience Biotechnology has played an important role in the development

Fraud Detection of the Electricity Consumption by combining Deep Learning and Statistical Methods

An important issue for the electricity distribution companies is the non-technical loss (NTL), also

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The dataset consists of 36 species, of which 21 are classified as edible weeds and 15 a

Human monkeypox virus: detection methods and perspectives for diagnostics

The recent outbreak of the zoonotic human caused by the monkeypox virus, in several non-endemic terr

Deep Learning methods for biotic and abiotic stresses detection in fruits and vegetables: state of the art and perspectives

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