Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification

IEEE Access, Год журнала: 2022, Номер 10, С. 68868 - 68884

Опубликована: Янв. 1, 2022

To ensure global food security and the overall profit of stakeholders, importance correctly detecting classifying plant diseases is paramount. In this connection, emergence deep learning-based image classification has introduced a substantial number solutions. However, applicability these solutions in low-end devices requires fast, accurate, computationally inexpensive systems. This work proposes lightweight transfer approach for from tomato leaves. It utilizes an effective preprocessing method to enhance leaf images with illumination correction improved classification. Our system extracts features using combined model consisting pretrained MobileNetV2 architecture classifier network prediction. Traditional augmentation approaches are replaced by runtime avoid data leakage address class imbalance issue. Evaluation on PlantVillage dataset shows that proposed achieves 99.30% accuracy size 9.60MB 4.87M floating-point operations, making it suitable choice devices. codes models will be made available upon publication.

Язык: Английский

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Tomato Leaf Disease Classification via Compact Convolutional Neural Networks with Transfer Learning and Feature Selection

Horticulturae, Год журнала: 2023, Номер 9(2), С. 149 - 149

Опубликована: Янв. 22, 2023

Tomatoes are one of the world’s greatest valuable vegetables and regarded as economic pillar numerous countries. Nevertheless, these harvests remain susceptible to a variety illnesses which can reduce destroy generation healthy crops, making early precise identification diseases critical. Therefore, in recent years, studies have utilized deep learning (DL) models for automatic tomato leaf illness identification. However, many methods based on single DL architecture that needs high computational ability update hyperparameters leading rise classification complexity. In addition, they extracted large dimensions from networks added complication. this study proposes pipeline utilizing three compact convolutional neural (CNNs). It employs transfer retrieve features out final fully connected layer CNNs more condensed high-level representation. Next, it merges benefit every CNN structure. Subsequently, applies hybrid feature selection approach select generate comprehensive set lower dimensions. Six classifiers procedure. The results indicate K-nearest neighbor support vector machine attained highest accuracy 99.92% 99.90% using 22 24 only. experimental proposed also compared with previous research verified its competing capacity.

Язык: Английский

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Bacillus Species: Excellent Biocontrol Agents against Tomato Diseases

Microorganisms, Год журнала: 2024, Номер 12(3), С. 457 - 457

Опубликована: Фев. 24, 2024

Tomatoes encounter many pathogens, such as fungi and bacteria, which reduce the yield quality of plants lead to large losses in production. The application plant protection products (PPPs) is still an important most effective measure control diseases. However, use chemicals agriculture contributes environmental pollution biodiversity loss, it can also threaten non-target living organisms. Biological a widely accessible, environmentally safe, cost-efficient alternative for prevention suppression

Язык: Английский

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Hyperparameter Optimization for Tomato Leaf Disease Recognition Based on YOLOv11m

Plants, Год журнала: 2025, Номер 14(5), С. 653 - 653

Опубликована: Фев. 21, 2025

The automated recognition of disease in tomato leaves can greatly enhance yield and allow farmers to manage challenges more efficiently. This study investigates the performance YOLOv11 for leaf recognition. All accessible versions were first fine-tuned on an improved dataset consisting a healthy class 10 classes. YOLOv11m was selected further hyperparameter optimization based its evaluation metrics. It achieved fitness score 0.98885, with precision 0.99104, recall 0.98597, [email protected] 0.99197. model underwent rigorous using one-factor-at-a-time (OFAT) algorithm, focus essential parameters such as batch size, learning rate, optimizer, weight decay, momentum, dropout, epochs. Subsequently, random search (RS) 100 configurations performed results OFAT. Among them, C47 demonstrated 0.99268 (a 0.39% improvement), 0.99190 (0.09%), 0.99348 (0.76%), 0.99262 (0.07%). suggest that final works efficiently is capable accurately detecting identifying diseases, making it suitable practical farming applications.

Язык: Английский

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The Use of PGPB to Promote Plant Hydroponic Growth

Plants, Год журнала: 2022, Номер 11(20), С. 2783 - 2783

Опубликована: Окт. 20, 2022

Improvements to the world's food supply chain are needed ensure sufficient is produced meet increasing population demands. Growing in soilless hydroponic systems constitutes a promising strategy, as this method utilizes significantly less water than conventional agriculture, can be situated urban areas, and stacked vertically increase yields per acre. However, further research optimize crop these systems. One plant involves adding growth-promoting bacteria (PGPB) into PGPB organisms that via wide range of mechanisms, including stress reduction, increases nutrient uptake, hormone modulation, biocontrol. The aim review provide critical information for researchers on current state use hydroponics so meaningful advances made. An overview history types provided, followed by an known mechanisms. Finally, examples has been conducted described. Amalgamating knowledge should future experiments designed effectively transition results from lab farm/producer, consumer.

Язык: Английский

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The Effect of Salinity on Fruit Quality and Yield of Cherry Tomatoes

Horticulturae, Год журнала: 2022, Номер 8(1), С. 59 - 59

Опубликована: Янв. 8, 2022

Hydroponic cultivation of vegetables avoids problems with soil-borne plant pathogens and may allow higher yield. In arid climates particularly on islands, high concentrations sodium chloride can be present in the groundwater. For instance, many sites Malta, groundwater contains more than 10 mM chloride. Here we investigated effects at levels typically found Malta yield, physiology fruit quality tomato, economically most important vegetable. We selected cherry tomatoes since their production is attractive due to marketing value. While yield declined salinity tested (17 34 mM), increased significantly as indicated by total soluble solids fructose glucose levels. The type substrate—coco peat, perlite or Rockwool—had only minor effects. Although concentration citric acid malic remained unaffected, pH dropped approximately 0.1 unit titratable acidity slightly. This might explained a uptake but lower increase content reduced potassium level fruits, shifting equilibrium organic acids protonated forms. Proline significantly, while glutamic acid, which crucial for taste, unchanged. Our results show that cultivated nutrient solutions prepared salt-containing groundwater, Malta. some extent produced fruits was compared salt-free media.

Язык: Английский

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Defense Strategies: The Role of Transcription Factors in Tomato–Pathogen Interaction

Biology, Год журнала: 2022, Номер 11(2), С. 235 - 235

Опубликована: Фев. 1, 2022

Tomato, one of the most cultivated and economically important vegetable crops throughout world, is affected by a panoply different pathogens that reduce yield affect product quality. The study tomato–pathogen system arises as an ideal for better understanding molecular mechanisms underlying disease resistance, offering opportunity improving quality products. Among several genes already identified in tomato response to pathogens, we highlight those encoding transcription factors (TFs). TFs act transcriptional activators or repressors gene expression are involved large-scale biological phenomena. They key regulators central components plant innate immune basal defense diverse processes, including responses pathogens. Here, present overview recent studies regarding biotic stresses. Hence, focus on families TFs, selected their abundance, importance, availability functionally well-characterized members pathogen attack. Tomato TFs’ roles possibilities related use engineering resistance presented. With this review, intend provide new insights into regulation against invading view breeding.

Язык: Английский

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The Role of Plant Growth-Promoting Microorganisms (PGPMs) and Their Feasibility in Hydroponics and Vertical Farming

Metabolites, Год журнала: 2023, Номер 13(2), С. 247 - 247

Опубликована: Фев. 9, 2023

There are many reasons for the increase in hydroponics/soil-free systems agriculture, and these have now advanced to form of vertical farming. The sustainable use space, reduction water compared soil-based lack pesticides, ability control nutrient inputs, implementation user-friendly technology environmental harvesting all factors that made global market farming predicted reach more than USD 10.02 billion by 2027. By comparison, agriculture consumes 20 times water, some agricultural practices promote soil deterioration cause pollution. Plant growth-promoting microorganisms (PGPMs) been used extensively traditional enhance plant growth, stress tolerance, efficacy phytoremediation Due controlled atmosphere hydroponics farms, there is strong potential maximize PGPMs. Here, we review leveraging microorganism mechanisms We recommend a synchronized PGPM treatment using biostimulant extract added hydroponic medium while also pre-treating seeds or seedlings with microbial suspension aquaponic aeroponic systems.

Язык: Английский

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Green Synthesized Silver Nanoparticles: A Novel Approach for the Enhanced Growth and Yield of Tomato against Early Blight Disease

Microorganisms, Год журнала: 2023, Номер 11(4), С. 886 - 886

Опубликована: Март 29, 2023

Tomato plants are among the most widely cultivated and economically important crops worldwide. Farmers' major challenge when growing tomatoes is early blight disease caused by Alternaria solani, which results in significant yield losses. Silver nanoparticles (AgNPs) have gained popularity recently due to their potential antifungal activity. The present study investigated of green synthesized silver for enhancing growth tomato resistance against disease. AgNPs were using leaf extract neem tree. treated with showed a increase plant height (30%), number leaves, fresh weight (45%), dry (40%) compared control plants. Moreover, AgNP-treated exhibited reduction severity index (DSI) (73%) incidence (DI) (69%) 5 10 ppm reached maximum levels photosynthetic pigments increased accumulation certain secondary metabolites group. AgNP treatment improved stress tolerance as indicated higher activities antioxidant enzymes such PO (60%), PPO (65%), PAL (65.5%), SOD (65.3%), CAT (53.8%), APX (73%). These suggest that promising approach protecting them Overall, findings demonstrate nanotechnology-based solutions sustainable agriculture food security.

Язык: Английский

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Dissecting Diagnostic and Management Strategies for Plant Viral Diseases: What Next?

Agriculture, Год журнала: 2024, Номер 14(2), С. 284 - 284

Опубликована: Фев. 9, 2024

Recent advancements in molecular biology have revolutionized plant disease diagnosis and management. This review focuses on through serological techniques, isothermal amplification methods, CRISPR-based approaches, management strategies using RNA-based methods. Exploring high-throughput sequencing RNA interference (RNAi) technologies like host-induced gene silencing (HIGS) spray-induced (SIGS), this delves into their potential. Despite the precision offered by RNAi pest pathogen management, challenges such as off-target effects efficient dsRNA delivery persist. discusses significance of these preventing aphid-mediated virus transmission, emphasizing crucial role meticulous design for effective viral targeting while minimizing harm to RNA. acknowledged challenges, including issues, underscores transformative potential agriculture. Envisaging reduced pesticide dependency enhanced productivity, stand key players future sustainable

Язык: Английский

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