Feasible sampling plan for Tuta absoluta egg densities evaluation in commercial field tomato

Gonring, Alfredo Henrique Rocha; Walerius, Adriana Helena; Picanço, Mayara Moledo; Bacci, Leandro; Martins, Júlio Cláudio; Picanço, Marcelo C.

doi:10.1016/j.cropro.2020.105239

Cited by 16 publications

(9 citation statements)

References 37 publications

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“…Thrips density (individuals sample −1 ), number of samples using the sequential sampling plan, decision, and time savings when adopting the sequential sampling plan compared with the conventional sampling plan (40 samples per field) in 28 commercial soybean fields with insecticide application using a tractor 2021). Low-cost, rapid decision-making sampling plans are feasible and more likely to be adopted by farmers (Lima et al 2017, Gonring et al 2020. According to the operating curves, the probability of not treating the area when thrip density was below the lower boundary (m 0 ) was 90%.…”

Section: Resultsmentioning

confidence: 99%

“…This is an indication of the positive characteristic of these sampling plans since it is possible to make decisions to control or not thrips in a brief time (less than 5 min, which is the evaluation and walking time in soybean fields of 20 ha for evaluation of three samples), and these assessments cost about US$0.20 (Santos et al 2021). Low-cost, rapid decision-making sampling plans are feasible and more likely to be adopted by farmers (Lima et al 2017, Silva et al 2019, Gonring et al 2020).…”

Section: Resultsmentioning

confidence: 99%

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Sequential Sampling Plans for Thrips (Thysanoptera: Thripidae) in Soybean Crops With Insecticide Applications Using Tractor or Airplane

Neves

Lopes

Pereira

et al. 2023

Journal of Economic Entomology

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Sampling plans are an essential part of integrated pest management programs. Sequential sampling plans enable rapid and low-cost assessment of pest densities. Thrips are emerging pests in soybean crops, and the main method used in pest control is chemical. In soybean crops, insecticides are applied mainly using tractors or airplanes. Thus, this work aimed to determine sequential sampling plans for thrips in soybean crops with insecticide applications using a tractor or airplane. Data were collected in 56 soybean fields, and each field was 20 ha. Sampling plans were determined and validated. The lower (m0) and upper (m1) limits of the sequential sampling plans were: m0 = 1.72 and m1 = 3.43 (by tractor applications) and, m0 = 2.27 and m1 = 4.53 thrips. sample−1 (by airplane applications). The slope (S) and the lower (h0) and upper (h1) intercepts of the sequential sampling plans were: S = 2.42, h0 = −5.79, and h1 = 5.79 (by tractor applications) and, S = 3.19, h0 = −6.83, and h1 = 6.83 (by airplane applications). Sequential sampling plans allowed for correct decisions to be made in all situations using a maximum of 10 samples. The sequential plan reduced the sampling effort by over 87% compared to conventional sampling plans. Therefore, these control decision-making systems have proven feasible and advantageous for implementing integrated pest management programs for controlling thrips species in soybean crops.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Sequential Sampling Plans for Thrips (Thysanoptera: Thripidae) in Soybean Crops With Insecticide Applications Using Tractor or Airplane

Neves

Lopes

Pereira

et al. 2023

Journal of Economic Entomology

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“…The research used sampling methods to estimate tomato moth egg density presented in Alfredo H.R. Gonring et al (2020). The eggs were counted on plants in the reproductive stage.…”

Section: Sampling Methodsmentioning

confidence: 99%

Integrated Protection of Tomato Crops against Tuta absoluta in Open Ground Conditions in the South-East Part of Kazakhstan

Adilkhankyzy¹,

Alpysbayeva²,

Nurmanov³

et al. 2022

OnLine Journal of Biological Sciences

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There is a need to develop strategies for the protection of tomato crops that would provide high-quality produce safe for the consumer without environmental pollution. The objective of the study is to deploy an integrated system for the protection of open-field tomato crops from Tuta absoluta using biological agents (Bracon hebetor Say., Trichogramma, biopreparations, pheromone traps) and devices in the conditions of southeast Kazakhstan to obtain environmentally safe produce. Experiments on the protection of tomato crops from pests are conducted by applying integrated protection measures with the use of entomophages, biopesticides, pheromone traps, and low-hazard pesticides on the tomato field of the Musa private farm. Per the results of the experiments on protecting open-field tomato plants fromTuta absoluta, the effectiveness of the employed instruments reaches up to 90%. The obtained results can be used to protect tomato plants accounting for pest density and the phase of crop development. Thus, based on the results obtained, it can be concluded that the primary elements of the integrated system for the protection of tomato crops against Tuta absoluta should include the application of biological preparations, entomophages and, if necessary, low-hazard insecticides, as well as the use of pheromone traps to detect the appearance of the moths and capture them en masse.

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“…Tomato (Solanum Lycopersicum L.) is considered a high-value crop and income resource for smallholder farmers in Sub-Saharan Africa [3]. Nevertheless, the invasive pest known as Tuta Absoluta is a major threat to tomato production [4]. It can greatly damage tomato yield to the extent that growers may give up production due to the costs and losses it causes.…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning-based Mobile Application for Segmenting Tuta Absoluta’s Damage on Tomato Plants

Loyani

Machuve

2021

Eng. Technol. Appl. Sci. Res.

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With the advances in technology, computer vision applications using deep learning methods like Convolutional Neural Networks (CNNs) have been extensively applied in agriculture. Deploying these CNN models on mobile phones is beneficial in making them accessible to everyone, especially farmers and agricultural extension officers. This paper aims to automate the detection of damages caused by a devastating tomato pest known as Tuta Absoluta. To accomplish this objective, a CNN segmentation model trained on a tomato leaf image dataset is deployed on a smartphone application for early and real-time diagnosis of the pest and effective management at early tomato growth stages. The application can precisely detect and segment the shapes of Tuta Absoluta-infected areas on tomato leaves with a minimum confidence of 70% in 5 seconds only.

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Feasible sampling plan for Tuta absoluta egg densities evaluation in commercial field tomato

Cited by 16 publications

References 37 publications

Sequential Sampling Plans for Thrips (Thysanoptera: Thripidae) in Soybean Crops With Insecticide Applications Using Tractor or Airplane

Sequential Sampling Plans for Thrips (Thysanoptera: Thripidae) in Soybean Crops With Insecticide Applications Using Tractor or Airplane

Integrated Protection of Tomato Crops against Tuta absoluta in Open Ground Conditions in the South-East Part of Kazakhstan

A Deep Learning-based Mobile Application for Segmenting Tuta Absoluta’s Damage on Tomato Plants

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