AIMC Topic: Solanum lycopersicum

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Tomato plant leaf disease segmentation and multiclass disease detection using hybrid optimization enabled deep learning.

Journal of biotechnology Aug 4, 2023
Production of crops is increasing day by day in agriculture sectors. The insecurity of food is a main reason of plant disease and is a main global issue that humans face these days. With the design of contemporary environmental agriculture, more focu...
Humans Plant Leaves Solanum lycopersicum Plant Diseases Deep Learning Image Processing, Computer-Assisted
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Shape classification technology of pollinated tomato flowers for robotic implementation.

Scientific reports Feb 7, 2023
Three pollination methods are commonly used in the greenhouse cultivation of tomato. These are pollination using insects, artificial pollination (by manually vibrating flowers), and plant growth regulators. Insect pollination is the preferred natural...
Pollination Animals Insecta Robotics Flowers Robotic Surgical Procedures Solanum lycopersicum Artificial Intelligence Technology
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A robust deep learning approach for tomato plant leaf disease localization and classification.

Scientific reports Nov 3, 2022
Tomato plants' disease detection and classification at the earliest stage can save the farmers from expensive crop sprays and can assist in increasing the food quantity. Although, extensive work has been presented by the researcher for the tomato pla...
Deep Learning Plant Leaves Solanum lycopersicum Plant Diseases
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Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification.

Sensors (Basel, Switzerland) Aug 14, 2022
Automatic leaf disease detection techniques are effective for reducing the time-consuming effort of monitoring large crop farms and early identification of disease symptoms of plant leaves. Although crop tomatoes are seen to be susceptible to a varie...
Solanum lycopersicum Deep Learning Image Processing, Computer-Assisted Logistic Models Plant Leaves
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Intelligent yield estimation for tomato crop using SegNet with VGG19 architecture.

Scientific reports Aug 10, 2022
Yield estimation (YE) of the crop is one of the main tasks in fruit management and marketing. Based on the results of YE, the farmers can make a better decision on the harvesting period, prevention strategies for crop disease, subsequent follow-up fo...
India Image Processing, Computer-Assisted Neural Networks, Computer Solanum lycopersicum Fruit
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Diagnosis of Alternaria disease and leafminer pest on tomato leaves using image processing techniques.

Journal of the science of food and agriculture Jun 25, 2022
BACKGROUND: Diseases such as Alternaria and pests such as leafminer threaten tomato as one of the most widely used agricultural products. These pests and diseases first damage the leaves of tomatoes, then the flowers, and finally the fruit. Therefore...
Solanum lycopersicum Alternaria Fuzzy Logic Plant Leaves Neural Networks, Computer
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Detection and Segmentation of Mature Green Tomatoes Based on Mask R-CNN with Automatic Image Acquisition Approach.

Sensors (Basel, Switzerland) Nov 25, 2021
Since the mature green tomatoes have color similar to branches and leaves, some are shaded by branches and leaves, and overlapped by other tomatoes, the accurate detection and location of these tomatoes is rather difficult. This paper proposes to use...
Neural Networks, Computer Algorithms Solanum lycopersicum
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Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds.

PLoS computational biology Sep 16, 2021
Bee-mediated pollination greatly increases the size and weight of tomato fruits. Therefore, distinguishing between the local set of bees-those that are efficient pollinators-is essential to improve the economic returns for farmers. To achieve this, i...
Animals Computational Biology Solanum lycopersicum Acoustics Machine Learning Algorithms Flowers Crops, Agricultural Bees Pollination
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Cherry Tomato Production in Intelligent Greenhouses-Sensors and AI for Control of Climate, Irrigation, Crop Yield, and Quality.

Sensors (Basel, Switzerland) Nov 11, 2020
Greenhouses and indoor farming systems play an important role in providing fresh and nutritious food for the growing global population. Farms are becoming larger and greenhouse growers need to make complex decisions to maximize production and minimiz...
COVID-19 SARS-CoV-2 Artificial Intelligence Pandemics Coronavirus Infections Betacoronavirus Climate Agriculture Pneumonia, Viral Humans Solanum lycopersicum
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Investigating plant uptake of organic contaminants through transpiration stream concentration factor and neural network models.

The Science of the total environment Aug 24, 2020
Uptake of seven organic contaminants including bisphenol A, estriol, 2,4-dinitrotoluene, N,N-diethyl-meta-toluamide (DEET), carbamazepine, acetaminophen, and lincomycin by tomato (Solanum lycopersicum L.), corn (Zea mays L.), and wheat (Triticum aest...
Solanum lycopersicum Zea mays Plant Transpiration Neural Networks, Computer Biological Transport Triticum Plant Roots
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