Disease Detection and Remote Monitoring in Chilli Crop Using Image Processing

Abstract

Abstract: Observations today have verified that the average crop yield in India is declining due to illnesses that have affected fully grown plants. Chilli plant production is tough due to the plant's vulnerability to a variety of microorganisms, infectious illnesses, and pests. Infections in the chilli plant impact areas such as the leaves and stems. In the early stages of diagnosing chilli illnesses, leaf characteristics are examined. The leaf image is taken and analyzed to determine the health of the chilli plant. Pesticides are currently being tested on chilli plants on a regular basis without first determining the needs of each plant. This ensures that pesticides are only used when diseased plants are discovered. Keywords: Infections in the chilli plant, chilli illnesses, characteristics are examined, Pesticides are currently being tested on chilli plants.

Plant phenotyping relevance

画像処理でチリ植物の葉画像から健康状態・病害を推定することが中心であり、植物病害状態の画像ベース表現型計測に該当する。

Code and data availability

The paper describes chilli leaf image datasets and CNN-based disease detection, but provides no public dataset deposit, no author code/model release, and no availability statements. The only dataset mentioned is sourced from the Plant Village website (cited prior work, not a paper-specific asset), and no public URL for

No evidence-backed public reproduction asset is currently recorded.