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Classification of Diseases in Tomato Leaves with Deep Transfer Learning
Plant diseases are crucial factors because they significantly affect the quality, quantity, and yield of agricultural products. Therefore, early...
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Comparative Analysis of Tomato Leaf Diseases in Relation to Soil Nutrition Data
This study presents a comparative analysis of various tomato leaf diseases in soil nutrition data, specifically focusing on phosphorus, nitrogen,...
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Diagnosis of tomato pests and diseases based on lightweight CNN model
Tomato crop yield can be negatively impacted by various diseases and pests. The application of computer vision to diagnose tomato diseases and pests...
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Precision Agriculture: Using Deep Learning to Detect Tomato Crop Diseases
Modern farming practices such as precision agriculture make crop production more efficient. The earlier detection of plant diseases is one of the...
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Tomato Leaf Diseases Detection
The major risk to food safety is Plant diseases and now its has become important obstacle to identity plant diseases in the starting phase itself to...
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Plants Monitoring API to Detect Tomato Leaf Diseases Using Deep-Learning Algorithms
In the presented study, the challenge of detecting tomato leaf diseases, crucial for sustainable agriculture, is addressed. A Convolutional Neural...
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Tomato plant leaf diseases detection and classification using an advanced self-developed CNN model
Better disease detection and classification for tomato leaves at early sage provide finest productivity results. It is a natural occurrence for...
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Spot-out fruit fly algorithm with simulated annealing optimized SVM for detecting tomato plant diseases
Crop diseases are a huge threat to food security, yet timely detection is a difficult task due to the absence of infrastructure in various regions of...
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Diagnosing the spores of tomato fungal diseases using microscopic image processing and machine learning
Accurate diagnosis of plant diseases by the assessment of pathogen presence to reduce disease-related production loss is one of the most fundamental...
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Unraveling the genetic basis of quantitative resistance to diseases in tomato: a meta-QTL analysis and mining of transcript profiles
Key messageWhole-genome QTL mining and meta-analysis in tomato for resistance to bacterial and fungal diseases identified 73 meta-QTL regions with...
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A detection of tomato plant diseases using deep learning MNDLNN classifier
In the world, tomato is a significant economic crop. However, it is easily affected by various diseases. Misprediction of disease is caused since...
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Performance analysis of segmentation models to detect leaf diseases in tomato plant
In agriculture around 22% of crop yield loss is due to living and non-living organisms such as biotic and abiotic stress/disease. The early-stage...
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Smart farming for detection and identification of tomato plant diseases using light weight deep neural network
Tomato occupies a protuberant place in every kitchen in various forms and this is one of the finest crops cultivated worldwide. However, the...
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Prediction of Tomato Leaf Disease Plying Transfer Learning Models
The tomato has a high market value and is one of the vegetables grown in the most significant quantity globally. Tomato plants are susceptible to...
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Image processing based system for the detection, identification and treatment of tomato leaf diseases.
Disease detection and treatment in tomato plant at its early stage contributes towards better production. It is a natural phenomenon that normally...
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Insights into the Genetic Improvement of Tomato
Tomato (Solanum lycopersicum L.) is considered one of the most significant vegetable crops globally. The worldwide production of tomato is reported...
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“Tomato-Village”: a dataset for end-to-end tomato disease detection in a real-world environment
Tomato is one of the most extensively grown vegetables in any country, and their diseases can significantly affect yield and quality. Accurate and...
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Detection of Organic Tomato Diseases and Monitoring of Climate-Soil Through a Combination of IoT, Big Data, and Machine Learning
The proposed system integrates various services into a common platform for digital agriculture, linking various IoT sensor nodes distributed in the...
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Tomato as a Model Plant to Understand Plant–Microbial Interactions
The interconnections between plants and microbes have been thoroughly investigated to comprehend various plant processes. Certain microbes have a...
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A Diagnostic Method for Detecting Tomato Leaf Diseases Based on a Deep Learning Approach
Nowadays, the agricultural area has been enhancing every day due to the innovation that makes farming far more effective and efficient in the...