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Detection of Potato Plant Leaf Diseases using Convolutional Neural Networks

Paper recorded by Signals 4 on 2026-10-14 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-14 on arXiv · recorded by Signals 4 on 2026-10-15

Category: cs.AI · 人工智能 · first seen 2026-10-15

Abstract

Potato is an important food-security crop in Ethiopia, but its production is affected by foliar diseases, particularly early blight and late blight. This study develops a lightweight convolutional neural network (CNN) to classify potato leaves into three categories: healthy, early blight, and late blight. The proposed model was trained using 2,215 images from the PlantVillage dataset and evaluated

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#314 most recent of 960 cs.AI papers we have recorded · ↑ newer: PerSo: Investigating Facets of LLMs' Social Intelligence in Real-World · ↓ older: PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligen
Cite this page: Detection of Potato Plant Leaf Diseases using Convolutional Neural Networks: the #314 most recent of 960 cs.AI papers we have recorded (as of 2026-10-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/detection-of-potato-plant-leaf-diseases-using-convolutional-neural-networks.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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