Role of farming awareness in crop pest management - A mathematical model

Basir, Fahad Al; Banerjee, Arnab; Ray, Santanu

doi:10.1016/j.jtbi.2018.10.043

Cited by 52 publications

(34 citation statements)

References 34 publications

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“…In addition, experience had a positive relationship with the selection of 45 kg ha ‐1 sowing rate. Informed farmers tend to use effective methods for pest management (Basir et al ., 2019). Indeed, decision‐making for weed management can be influenced by the farmer's knowledge, experience and perception (Jabbour et al ., 2014; Zwickle, 2011).…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, experience can also influence farmers’ perception of weed management and decision‐making ability (Jabbour et al ., 2014; Zwickle, 2011). Informed farmers tend to opt for more effective crop and pest management methods (Basir et al ., 2019). Moreover, farmer residency status (resident or migrant) results in heterogeneity in agricultural management (Yung et al ., 2015).…”

Section: Introductionmentioning

confidence: 99%

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Weed infestation is affected by chickpea farmer demographics and agronomic practices

et al. 2020

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To investigate the effects of agronomic practices and farmer demographics on levels of weed infestation in chickpea fields, a survey was conducted during 2015 in Sanjabi district, Kermanshah, Iran. Two sets of data were collected: (a) weed sampling from the selected chickpea fields, and (b) questionnaire recording of farmer demographics and agronomic management. The farmers were asked about their residence status (resident or migrant), occupation (farming only, farming plus a second job), experience and education levels, as well as seedbed preparation, sowing date and method, source of seed supply, crop cultivar, sowing seed rate, weed control operation and crop rotation history. The results showed that weed species composition was similar across the studied fields. The use of a row crop planter, a sowing rate of 45 kg ha‐1, and weed control resulted in 30.2, 23.03 and 34.2% reductions in weed infestation compared with hand sowing, a sowing rate of 30 kg ha‐1 and lack of weed control, respectively. Weed density decreased with increasing farmer experience and decreased by 33.0% and 23.5% in chickpea fields of resident farmers and owners whose sole occupation was agriculture. We found that 89.5% of the most experienced farmers adopted weed control operations and most resident landowners (77.4%) opted for crop planter (77.4%) and weed control (90.3%) compared to migrant farmers (50 and 68.5%, respectively). More landowners who were exclusively farmers performed weed control (90.6%) than owners who had a second job (67.9%).

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Weed infestation is affected by chickpea farmer demographics and agronomic practices

et al. 2020

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“…The Hopf-bifurcation analysis was done at the endemic equilibrium by considering time delay as the bifurcation parameter. The analytical results were justified by numerical simulations [8].…”

Section: Literature Reviewmentioning

confidence: 91%

Modern Technologies for Pest Control: A Review

Agarwal¹,

Verma²

2021

Heavy Metals - Their Environmental Impacts and Mitigation

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The major concern for farmers is important loss due to pests and diseases, which is regardless of any production system adopted. Plant pathogens, insects, and weed pests devastate over 40% of all possible sustenance creation every year. This loss happens despite utilizing approximately 3 million tons of pesticide per year in addition to the use of a variety of nonchemical controls such as biological controls and crop rotations. If some of this food could be saved from pest attack, it could be utilized to bolster an excess of 3 billion people who are malnourished in the world today. Expansive range of conventional insecticides such as carbamates, organophosphates, pyrethroids, and organochlorines were developed. They have been used to control insect pests in the course of recent decades, resulting in the reduction of the loss of agricultural yield. However, problems of resistance reaching crisis proportions, the extreme unfavorable impacts of pesticides on the environment, and public complaints led to stricter protocols and regulations directed to reduce their utilization. The pest control industry is continuously examining novel technologies and products that will improve the way to manage and prevent pests. The general objective is to likewise diminish the effects of various available pesticides on the environment and on nontarget creatures, besides the economic influence on bottom lines.

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“…Mathematical models have great reimbursements for relating the dynamics of crop pest management. Quite a few models have been formulated and analyzed to explain the dynamics of plant disease diffusion and charging their controls [12]. For instance, authors in [13] consider how allowing surroundings for connections among farmers, researchers, and other factors, can donate to reduce existing problems related with the crop.…”

Section: Introductionmentioning

confidence: 99%

Farming awareness based optimum interventions for crop pest control

Abraha

Basir²,

Obsu

et al. 2021

MBE

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We develop a mathematical model, based on a system of ordinary differential equations, to the upshot of farming alertness in crop pest administration, bearing in mind plant biomass, pest, and level of control. Main qualitative analysis of the proposed mathematical model, akin to both pest-free and coexistence equilibrium points and stability analysis, is investigated. We show that all solutions of the model are positive and bounded with initial conditions in a certain significant set. The local stability of pest-free and coexistence equilibria is shown using the Routh-Hurwitz criterion. Moreover, we prove that when a threshold value is less than one, then the pest-free equilibrium is locally asymptotically stable. To get optimum interventions for crop pests, that is, to decrease the number of pests in the crop field, we apply optimal control theory and find the corresponding optimal controls. We establish existence of optimal controls and characterize them using Pontryagin's minimum principle. Finally, we make use of numerical simulations to illustrate the theoretical analysis of the proposed model, with and without control measures.

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Role of farming awareness in crop pest management - A mathematical model

Cited by 52 publications

References 34 publications

Weed infestation is affected by chickpea farmer demographics and agronomic practices

Weed infestation is affected by chickpea farmer demographics and agronomic practices

Modern Technologies for Pest Control: A Review

Farming awareness based optimum interventions for crop pest control

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