Logo Lanfrica

AI and IoT-Based Model for the Detection and Treatment of Sweet Potato Pests and Diseases in Precision Farming

Domain:

agriculture

Record type:

paperposter

AI and IoT-Based Model for the Detection and Treatment of Sweet Potato Pests and Diseases in Precision Farming

Poster presented at the Deep Learning Indaba 2023 by Laeticia Onyejegbu

Tags

posterdeep learning indaba 2023deep learning indabadli

Similar

Development of plant based biopesticide for bee diseases and pests

Plant-based biopesticides are being developed for control of bee pests and diseases. Plant extracts

carlospachecolima/AI-Assisted-Visual-Assessment-of-Physiological-Disorders-in-Sweet-Potato-Roots: Initial release: AI-assisted visual assessment framework for sweet potato disorders

Initial Release This release presents the first stable version (v1.0.0) of the computational framew

Development of a molecular-based detection tool for sweet potato leaf curl viruses and determination of their incidence levels in Tanzania

Sweet potato (Ipomoea batatas L.) is an important food security crop in sub-Saharan Africa, where it

Dynamics of Sweet potato mild mottle virus and Insect Preferences of Sweet potato Cultivars in Uganda

Sweet potato (Ipomoea batatas L.) is a vital food security crop in Uganda and East Africa, but its p

Assessments of Sweet potato Virus Disease and Influence of Mulching and Organic Insecticide on Sweet Potato Varieties in Kwara State of Nigeria

Assessments of 30 sweet potato farms in three districts of Kwara State of Nigeria were carried out t

DEVELOPMENT OF MAIZE LEAF DISEASES AND PESTS IDENTIFICATION MODEL USING DEEP LEARNING

Ethiopia possesses tremendous potential for the development of diverse crop varieties, including tho