Current Trends and Emerging Technologies for Pest Control Management of Rice (Oryza sativa) Plants

Ramadass, Manjula; Thiagarajan, Padma

doi:10.1007/978-3-030-77795-1_5

Cited by 3 publications

(4 citation statements)

References 204 publications

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“…Consequently, the poor effectiveness of the insecticide mix against rice planthopper may be attributable to the local RPH population developing resistance. Indiscriminate and excessive use of insecticides could be the primary cause, necessitating immediate intervention, as emphasized in recent studies 54,55 . Moreover, substituting the IDKT nozzle significantly impaired penetration and distribution uniformity.…”

Section: Resultsmentioning

confidence: 99%

“…Indiscriminate and excessive use of insecticides could be the primary cause, necessitating immediate intervention, as emphasized in recent studies. 54,55 Moreover, substituting the IDKT nozzle significantly impaired penetration and distribution uniformity. However, there was no significant enhancement in deposition in the upper layer, and a decrease was even observed in the middle layer.…”

Section: Control Efficacy Experimentsmentioning

confidence: 99%

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Field evaluation of a six‐rotor unmanned agricultural aerial sprayer: effects of application parameters on spray deposition and control efficacy against rice planthopper

Huang

Wang

Wongsuk

et al. 2023

Pest Management Science

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BACKGROUNDUnmanned Aerial Spraying System (UASS) has emerged as an advanced, precise, and efficient tool for pesticide application in numerous nations in recent years. Despite this, there is a noticeable gap in research advocating viable, quantifiable methodologies for application parameter optimization. This investigation was primarily oriented toward identifying optimal UASS application parameters. It did so by exploring the effects of varying spray volumes and flight parameters on spray performance in a comprehensive manner, and by assessing the biological potency of aerial insecticide application against Rice Planthopper (RPH) using the optimal parameters, aided by two types of nozzles in rice field settings.RESULTSIncreased spray volume increased the spray deposition. Working height impacted the distribution of spray deposition, with a higher working height leading to superior distribution uniformity. Both spray volume and working height were observed to influence spray deposition and its percentage in tandem. Upon factor analysis, the optimal parameters determined for rice at the heading stage were an application volume of 15.0 L·ha−1, a working height of 2.0 m, and a driving speed of 5.0 m·s−1. Under these parameters, the air‐induction twin flat fan nozzle IDKT120‐015 demonstrated approximately 5% higher spray deposition than the flat fan nozzle SX11001VS, albeit with inferior distribution uniformity. Both nozzle types achieved over 93.0% control efficacy against RPH using triflumezopyrim, persisting for up to 40 days post‐treatment.CONCLUSIONThis study furnishes invaluable insights and data for controlling rice planthopper via UASS pesticide application, contributing to the progress of modern intensive and sustainable agriculture. © 2023 Society of Chemical Industry.

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Section: Resultsmentioning

confidence: 99%

Section: Control Efficacy Experimentsmentioning

confidence: 99%

Field evaluation of a six‐rotor unmanned agricultural aerial sprayer: effects of application parameters on spray deposition and control efficacy against rice planthopper

Huang

Wang

Wongsuk

et al. 2023

Pest Management Science

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“…Its adaptability to infest diverse grains throughout the supply chain poses a significant threat to global food reserves, contributing to the challenge of preserving stored grains and exacerbating economic losses (Choudhury and Chakraborty, 2014;Zunjare et al, 2015;Derbalah et al, 2021;Kanmani et al, 2021;Kanyile et al, 2023;Mohammad et al, 2023;Cao et al, 2024). The wide-ranging impact of S. oryzae underscores the necessity of developing comprehensive and targeted pest management strategies to safeguard various grain crops from its pervasive infestations (Parisot et al, 2021;Ramadass and Thiagarajan, 2021). Conventional preventive measures, primarily reliant on chemical pesticides, have shown effectiveness in controlling stored grain pests, including S. oryzae (Derbalah et al, 2012;Al-Harbi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Biopesticidal Potential of Indigenous Plant Extracts against Rice Weevil in Stored Wheat

Atta,

Sabir,

Farooq

et al. 2024

Plant Prot.

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Stored products are significantly affected by certain well-known stored grain pests, with Sitophilus oryzae L. (Coleoptera: Curculionidae) being one of the most destructive pests of stored products. It is a primary pest that causes substantial quantitative and qualitative losses. The present study was conducted to investigate the insecticidal efficacy of different plant extracts from four commonly grown plants in Pakistan: ginger (Zingiber officinale), neem (Azadirachta indica), clove (Syzygium aromaticum), and tobacco (Nicotiana tabacum) against S. oryzae infesting stored wheat. Crude extracts from these plants were applied to stored wheat at various dose rates (20, 40, 60, 80 mg). Adults of S. oryzae were introduced to the treated wheat and observed for mortality, repellency, and grain damage. The results of the study indicated that the maximum mortality of S. oryzae (99.17%) was recorded due to the application of crude extract of Z. officinale, while the minimum mortality of S. oryzae (67.50%) was recorded due to the crude extract of N. tabacum at an 80 mg dose rate after a 10-day exposure interval. The maximum grain damage due to S. oryzae (0.19%) was observed in N. tabacum treated crude extract at an 80 mg dose rate, while the minimum grain damage due to S. oryzae (0.04%) was observed in Z. officinale treated crude extract at an 80 mg dose rate. Z. officinale also exhibited the maximum repellent effect on S. oryzae (95.77%). This study concluded that Z. officinale emerged as a potent, readily available biopesticide against S. oryzae, surpassing current alternatives with near-eradication efficacy, minimal grain damage, and a proactive repellent effect, paving the way for sustainable and eco-friendly pest management. Further research is needed to optimize extraction methods, dosage recommendations, and assess long-term effects on grain quality and storage stability.

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“…Before the first green revolution, the main pests and diseases in the southern rice area are the three borers and rice plague. The large‐scale application of dwarf varieties and the expansion of single and double‐season rice mixed planting areas led to an increase in the damage of striped stem‐borer (SSB) and the rise of SSB becomes as the dominant population (Ramadass & Thiagarajan, 2021).…”

Section: Introductionmentioning

confidence: 99%

Detection of infestation by striped stem‐borer (Chilo suppressalis) in rice based on hyperspectral imaging

Wan

Ouyang

Liu

et al. 2022

J Food Process Engineering

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Striped stem‐borer (SSB) larvae are one of the most serious insect pests that damages rice. In this study, the combined hyperspectral imaging and chemometric method are proposed detect the early SSB larvae infestation in rice stems. Firstly, hyperspectral reflectance data (390–1040 nm) of rice stems were collected for normal, 3 days of infection, 6 days of infection, and 9 days of infection, respectively. On the spectra, the average spectra of the region of interest of the rice stalk samples were extracted, and 19 characteristic wavelengths were screened by the successive projection algorithm (SPA). Morphological processing was performed on the pseudo‐color (generally known as RGB) images of rice stalk samples on the images. Then five image texture features based on the gray‐scale co‐occurrence matrix (GLCM) and nine image color features based on color moments were obtained. The evaluation models of SSB larval infestation based on full spectra, characteristic wavelengths, GLCM, color moments, and data fusion were developed using partial least squares discriminant analysis (PLS‐DA), respectively. The results show that performance of the PLS‐DA model based on the fusion of characteristic wavelengths and GLCM is best. The accuracy of both the comprehensive modeling set and the prediction set is above 97%. The accuracy of the degree of infestation classification is good for all categories, and only the samples on the third day of infection are slightly less accurate. In conclusion, the hyperspectral imaging technology can be used to effectively detect the infection degree situation of early SSB larval infestation. Practical Applications Chemical control using insecticides to manage SSB infestation on rice is still the farmers' first choice. However, in the middle and late stages of rice growth, SSB larvae may moth into the inside of the rice stalk, and the rice provides a shelter for SSB so that the sprayed pesticides cannot reach SSB larvae, which produce a large number of overwintering SSB. This leads to the misuse of chemical pesticides, which causes serious pollution to the environment, pesticide residues also cause serious harm to the human body, and it also makes the pest resistance to pesticides rapidly increase. Therefore, it is necessary to find a rapid and effective detection method to detect the early infestation of SSB larvae on rice to reduce the use of pesticides and improve rice yield.

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Current Trends and Emerging Technologies for Pest Control Management of Rice (Oryza sativa) Plants

Cited by 3 publications

References 204 publications

Field evaluation of a six‐rotor unmanned agricultural aerial sprayer: effects of application parameters on spray deposition and control efficacy against rice planthopper

Field evaluation of a six‐rotor unmanned agricultural aerial sprayer: effects of application parameters on spray deposition and control efficacy against rice planthopper

Biopesticidal Potential of Indigenous Plant Extracts against Rice Weevil in Stored Wheat

Detection of infestation by striped stem‐borer (Chilo suppressalis) in rice based on hyperspectral imaging

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