Cassava crop disease prediction and localization using object detection

IF 2.5 2区农林科学 Q1 AGRONOMY

Crop Protection Pub Date : 2024-10-26 DOI:10.1016/j.cropro.2024.107001

Josephat Kalezhi, Langtone Shumba

引用次数: 0

Abstract

In agriculture, early detection and localization of plant diseases in time using deep learning techniques can help farmers contain the spread of plant diseases. In this work, we apply object detection models to identify and localize various categories of cassava plant leaf diseases. These include You Only Look Once (YOLO) as well as Generalized Efficient Layer Aggregation Network(GELAN) models. We applied YOLO v9-e, YOLO v9-c, as well as GELAN-e and GELAN-c models. The models were successfully trained using a custom cassava dataset. Several evaluation indicators that include precision, recall and mean average precision(mAP) were analysed result. The results have been compared with an earlier version of YOLO model and show an improvement in evaluation indicators reaching above 80% in the majority of diseases.

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利用物体检测进行木薯作物病害预测和定位

在农业领域，利用深度学习技术及时对植物病害进行早期检测和定位，可以帮助农民遏制植物病害的蔓延。在这项工作中，我们应用对象检测模型来识别和定位各类木薯植物叶片病害。这些模型包括 "只看一次"（YOLO）模型和广义高效层聚合网络（GELAN）模型。我们应用了 YOLO v9-e、YOLO v9-c，以及 GELAN-e 和 GELAN-c 模型。我们使用定制的木薯数据集成功地训练了这些模型。结果分析了多个评估指标，包括精确度、召回率和平均精确度（mAP）。将结果与早期版本的 YOLO 模型进行了比较，结果表明，在大多数病害中，评估指标的改进幅度超过了 80%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Crop Protection 农林科学-农艺学

CiteScore

6.10

自引率

3.60%

发文量

200

审稿时长

29 days

期刊介绍： The Editors of Crop Protection especially welcome papers describing an interdisciplinary approach showing how different control strategies can be integrated into practical pest management programs, covering high and low input agricultural systems worldwide. Crop Protection particularly emphasizes the practical aspects of control in the field and for protected crops, and includes work which may lead in the near future to more effective control. The journal does not duplicate the many existing excellent biological science journals, which deal mainly with the more fundamental aspects of plant pathology, applied zoology and weed science. Crop Protection covers all practical aspects of pest, disease and weed control, including the following topics: -Abiotic damage- Agronomic control methods- Assessment of pest and disease damage- Molecular methods for the detection and assessment of pests and diseases- Biological control- Biorational pesticides- Control of animal pests of world crops- Control of diseases of crop plants caused by microorganisms- Control of weeds and integrated management- Economic considerations- Effects of plant growth regulators- Environmental benefits of reduced pesticide use- Environmental effects of pesticides- Epidemiology of pests and diseases in relation to control- GM Crops, and genetic engineering applications- Importance and control of postharvest crop losses- Integrated control- Interrelationships and compatibility among different control strategies- Invasive species as they relate to implications for crop protection- Pesticide application methods- Pest management- Phytobiomes for pest and disease control- Resistance management- Sampling and monitoring schemes for diseases, nematodes, pests and weeds.