Plant Leaf Disease Detection Using Computer Vision Techniques and Machine Learning [PDF]
ITM Web of Conferences, 2022 Agriculture production is extremely important in today’s economy because disease development in plants is relatively common, early detection of disease in plants is critical in the agriculture field.
Joshi Kalpesh +4 more
doaj +1 more source
Gas Biosensor Arrays Based on Single-Stranded DNA-Functionalized Single-Walled Carbon Nanotubes for the Detection of Volatile Organic Compound Biomarkers Released by Huanglongbing Disease-Infected Citrus Trees. [PDF]
, 2019 Volatile organic compounds (VOCs) released by plants are closely associated with plant metabolism and can serve as biomarkers for disease diagnosis. Huanglongbing (HLB), also known as citrus greening or yellow shoot disease, is a lethal threat to the ...
Liu, Gang +6 more
core +2 more sources
Degradation Dynamics of Glyphosate in Different Types of Citrus Orchard Soils in China
Molecules, 2015 Glyphosate formulations that are used as a broad-spectrum systemic herbicide have been widely applied in agriculture, causing increasing concerns about residues in soils.
Changpeng Zhang +7 more
doaj +1 more source
Detection of leaf structures in close-range hyperspectral images using morphological fusion [PDF]
, 2017 Close-range hyperspectral images are a promising source of information in plant biology, in particular, for in vivo study of physiological changes. In this study, we investigate how data fusion can improve the detection of leaf elements by combining ...
Criollo, Ronald +4 more
core +2 more sources
Plant Leaf Disease Detection using MobileNetV2 [PDF]
ITM Web of ConferencesPlant diseases significantly hinder agricultural productivity worldwide, making early detection and accurate diagnosis essential to safeguard crop yields and food security.
Bala N Muthu +4 more
doaj +1 more source
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map
Remote Sensing, 2020 Vine pathologies generate several economic and environmental problems, causing serious difficulties for the viticultural activity. The early detection of vine disease can significantly improve the control of vine diseases and avoid spread of virus or ...
Mohamed Kerkech +2 more
doaj +1 more source
Automatic Identification and Monitoring of Plant Diseases Using Unmanned Aerial Vehicles: A Review
Remote Sensing, 2021 Disease diagnosis is one of the major tasks for increasing food production in agriculture. Although precision agriculture (PA) takes less time and provides a more precise application of agricultural activities, the detection of disease using an Unmanned ...
Krishna Neupane, Fulya Baysal-Gurel
doaj +1 more source
Management of plant health risks associated with processing of plant-based wastes: A review [PDF]
, 2009 The rise in international trade of plants and plant products has increased the risk of introduction and spread of plant pathogens and pests. In addition, new risks are arising from the implementation of more environmentally friendly methods of ...
Budge, G. E. +4 more
core +1 more source
Evaluation of Soybean Wildfire Prediction via Hyperspectral Imaging
Plants, 2023 Plant diseases that affect crop production and productivity harm both crop quality and quantity. To minimize loss due to disease, early detection is a prerequisite.
Liny Lay +6 more
doaj +1 more source
Strawberry Verticillium Wilt Detection Network Based on Multi-Task Learning and Attention
IEEE Access, 2019 Plant disease detection has an inestimable effect on plant cultivation. Accurate detection of plant disease can control the spread of disease early and prevent unnecessary loss. Strawberry verticillium wilt is a soil-borne, multi-symptomatic disease.
Xuan Nie +3 more
doaj +1 more source