Modeling the Effects of Insects and Insecticides with External Efforts on Agricultural Crops

Misra, Arvind; Jha, Navnit; Patel, Rahul

doi:10.1007/s12591-020-00555-3

Cited by 7 publications

(5 citation statements)

References 20 publications

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“…found that Diazinon insecticide underwent the second order reaction. Moreover, in the previous study that was conducted by [15] pointed out the effect of insecticides in reducing the insects density underwent the second order reaction. On contrary, another studies were reported that some fungicide like Carbendazim, and Thiophanate-methyl were subjected to the Pseudo-first order [14] respectively; insecticides such as imidacloprid, indoxacarb, and lambda-cyhalothrin are subjected to the Pseudo-first order reaction, but Chlorantraniliprole underwent the Pseudo-second order reaction [11].…”

Section: Thiamethoxam Kinetic Reactionmentioning

confidence: 97%

Thiamethoxam Behaviour Modelling in the Clay Soil

Odah Al-Waeli,

Al-Farttoosy,

Omran

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Because all pesticides are poisons that are intentionally released into the environment, pesticide behaviour is significant. It is necessary to consider the chemical and physical properties of pesticides in order to comprehend the causes of poorly executed pest management. The results showed that the equilibrium constant of Thiamethoxam was achieved between 60 to 180 minutes. The kinetic reaction explained that Thiamethoxam is subjected to the second order with a rate constant of 0.0017 mg mimute-1. Moreover it is more fitting to the Freundlich model compared to the Langmuir model. The bF was recorded 0.02 with the correlation coefficient 0.9999, indicating that Thiamethoxam mobiles on non-ideal surfaces. As long as it was subjected to the second reaction kinetic order, the half-life was 566.4 minutes (0.39 day). In terms of Thiamethoxam distribution in the soil, the distribution coefficient Kd was 0.22 mL g-1, suggesting that Thiamethoxam tends to be less mobile in the soil.

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Section: Thiamethoxam Kinetic Reactionmentioning

confidence: 97%

Thiamethoxam Behaviour Modelling in the Clay Soil

Odah Al-Waeli,

Al-Farttoosy,

Omran

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Therefore, it is assumed that the amount of insecticides used are proportional to the density of insects. The computational mathematical model assessed the effects of insects and insecticides on crop production [31,32]. Nevertheless, during our review of the literature on models, we did not find a dynamic model of interaction between crop damage and desert locust attacks.…”

Section: Introductionmentioning

confidence: 96%

Modelling the Impacts of Early Intervention on Desert Locust Outbreak Prevention

Mamo

Bedane

2021

Journal of Applied Mathematics

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To preserve crop production losses, monitoring of desert locust attacks is a significant feature of agriculture. In this paper, a mathematical model was formulated and analyzed to protect crops against desert locust attack via early intervention tactics. We consider a triple intervention approach, namely, proaction, reaction, and outbreak prevention. The model integrates a stage-structured locust population, logistics-based crop biomass, and blended early intervention via pesticide spray. We assume that the amount of pesticide spray is proportional to the density of the locust population in the infested area. Conventional short residual pesticides within ultralow volume formulation and equipment control operations are considered. The trivial and locust-free equilibrium of the model is unstable, whereas the interior equilibrium is asymptotically stable. Numerical simulations validate the theoretical results of the model. In the absence of intervention measures, desert locust losses are approximately 71% of expected crop production. The model projection shows that effective proactive early intervention on hopper stage locust contained locust infestation and subdued public health and environmental hazards. Relevant and up-to-date combined early interventions control desert locust aggression and crop production losses.

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“…To investigate the role of the awareness program in the control of insect pests, mathematical models are implied [34,35,36]. A dynamic model to analyzing the effects of insects and insecticides on crops has recently developed [37,38].…”

Section: Introductionmentioning

confidence: 99%

Modelling the effect of desert locust infestation on crop production with intervention measures

Mamo

Bedane

2021

Heliyon

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The Desert Locust, Schistocerca gregaria(Forskål), is the most devastating migratory pest in the world. The Desert Locust persists as the principal threat to food security in the infested region and beyond. In the inadequacy of reliable and efficient prevention and control measures, strategies for controlling and mitigating the trouble of the Desert Locust are focused on non-risk-free interventions such as chemical pesticides. We formulated and analyzed a mathematical model to assess the impact of this devastating pest on crop production. The theoretical analysis of the model shows that the trivial and locust free equilibriums are unstable, whereas interior equilibrium is asymptotically stable if crop growth rate r is greater than a maturity rate σ Numerical simulations of the model using the baseline parametric values are consistent with theoretical analysis. The conventional scenario projections for crop production (based on the baseline levels of anti-Desert Locust interventions considered in the study) increase by 70:44%ð2663:26Þkg per hectare) if the low depletion pesticide measures performed are maintained proportionally with locust population. This study notes that high-level depletion of the chemical pesticide spray measures could lead to devastating crop losses (similar to those projections before the onset of the pesticide spray) and severe human health and environmental risks. At a baseline harvesting coverage could shelter 44:43kg to 1176:82kg per hectare of mature crops. Combining early harvesting and low depletion chemical pesticide with ultra-low volume (ULV) spray devices and formulation could mitigate and eliminate Desert Locust infestation.

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Modeling the Effects of Insects and Insecticides with External Efforts on Agricultural Crops

Cited by 7 publications

References 20 publications

Thiamethoxam Behaviour Modelling in the Clay Soil

Thiamethoxam Behaviour Modelling in the Clay Soil

Modelling the Impacts of Early Intervention on Desert Locust Outbreak Prevention

Modelling the effect of desert locust infestation on crop production with intervention measures

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