Pesticide Usage Research Articles

Quantitative structure-activity relationship predicting toxicity of pesticides towards Daphnia magna.

Global pesticide usage reaching 2.7 million metric tons annually, brings a grave threat to non-target organisms, especially aquatic organisms, resulting in serious concerns. Predicting aquatic toxicity of pesticides towards Daphnia magna is significant. In this work, random forest (RF) algorithm, together with ten Dragon molecular descriptors, was successfully utilized to develop a quantitative structure-activity/toxicity relationship (QSAR/QSTR) model for the toxicity pEC50 of 745 pesticides towards Daphnia magna. The optimal QSTR model (RF Model I) based on the RF parameters of ntree = 50, mtry = 3 and nodesize = 5, yielded R2 = 0.877, MAE = 0.570, rms = 0.739 (training set of 596 pEC50), R2 = 0.807, MAE = 0.732, rms = 0.902 (test set of 149 pEC50), and R2 = 0.863, MAE = 0.602, rms = 0.774 (total set of 745 pEC50), which are accurate and satisfactory. The optimal RF model is comparable to other published QSTR models for Daphnia magna, although the optimal RF model possessed a small descriptor subset and dealt with a large dataset of pesticide toxicity pEC50. Thus, the investigation in this work provides a reliable, applicable QSTR model for predicting the toxicity pEC50 of pesticides towards Daphnia magna.

Heavy metal association with chronic kidney disease of unknown cause in central India-results from a case-control study

BackgroundChronic Kidney Disease of unknown cause (CKDu) a disease of exclusion, and remains unexplained in various parts of the world, including India. Previous studies have reported mixed findings about the role of heavy metals or agrochemicals in CKDu. These studies compared CKDu with healthy controls but lacked subjects with CKD as controls. The purpose of this study was to test the hypothesis whether heavy metals, i.e. Arsenic (As), Cadmium (Cd), Lead (Pb), and Chromium (Cr) are associated with CKDu, in central India.MethodsThe study was conducted in a case-control manner at a tertiary care hospital. CKDu cases (n = 60) were compared with CKD (n = 62) and healthy subjects (n = 54). Blood and urine levels of As, Cd, Pb, and Cr were measured by Inductively Coupled Plasma- Optical Emission Spectrometry. Pesticide use, painkillers, smoking, and alcohol addiction were also evaluated. The median blood and urine metal levels were compared among the groups by the Kruskal-Wallis rank sum test.ResultsCKDu had significantly higher pesticide and surface water usage as a source of drinking water. Blood As levels (median, IQR) were significantly higher in CKDu 91.97 (1.3–132.7) µg/L compared to CKD 4.5 (0.0–58.8) µg/L and healthy subjects 39.01 (4.8–67.4) µg/L (p < 0.001) On multinominal regression age and sex adjusted blood As was independently associated with CKDu[ OR 1.013 (95%CI 1.003–1.024) P < .05].Blood and urinary Cd, Pb, and Cr were higher in CKD compared to CKDu (p > .05). Urinary Cd, Pb and Cr were undetectable in healthy subjects and were significantly higher in CKDu and CKD compared to healthy subjects (P = < 0.001). There was a significant correlation of Cd, Pb and Cr in blood and urine with each other in CKDu and CKD subjects as compared to healthy subjects. Surface water use also associated with CKDu [OR 3.178 (95%CI 1.029–9.818) p < .05).ConclusionThe study showed an independent association of age and sex adjusted blood As with CKDu in this Indian cohort. Subjects with renal dysfunction (CKDu and CKD) were found to have significantly higher metal burden of Pb, Cd, As, and Cr as compared to healthy controls. CKDu subjects had significantly higher pesticide and surface water usage, which may be the source of differential As exposure in these subjects.

Case Studies on Sustainability-Oriented Innovations and Smart Farming Technologies in the Wine Industry: A Comparative Analysis of Pilots in Cyprus and Italy

Addressing the urgent sustainability challenges in the wine industry, this study explores the efficacy of sustainability-oriented innovations (SOIs) and smart farming technologies (SFTs) across wine value chains in Cyprus and Italy. Utilising a mixed-methods approach that includes quantitative analysis through Key Performance Indicators (KPIs) and qualitative assessments to understand stakeholders’ perspectives, this research delves into the environmental, economic, and social impacts of these technologies. In Cyprus, the integration of digital labelling and smart farming solutions led to a substantial reduction in pesticide usage by up to 75% and enhanced the perceived quality of wine by an average of 8%. A pilot study in Italy witnessed a 33.4% decrease in greenhouse gas emissions, with the additional benefit of a 5.3% improvement in intrinsic product quality. The pilot introduced a carbon credit system, potentially generating an average annual revenue of EUR 4140 per farm. These findings highlight the transformative potential of SOIs and SFTs in promoting sustainable practices within the wine industry, demonstrating significant advancements in reducing environmental impact, improving product quality, and enhancing economic viability. This study underscores the critical role of innovative technologies in achieving sustainability goals and provides a compelling case for their wider adoption within the agricultural sector.

Occurrence and health risk of pesticide residues in Chinese herbal medicines from Shandong Province, China.

Pesticide residue was one of the stress factors affecting quality and safety of Chinese herbal medicines (CHMs). The present study was designed to investigate the occurrence and dietary exposure of 70 pesticide residues in 307 samples of CHMs, including 104 American ginseng, 100 Ganoderma lucidum (G. lucidum), and 103 Dendrobium officinale (D. officinale) in Shandong Province, China. The study revealed that a total of 29 pesticides were detected in the majority (92.5%) of samples, and the pesticide residues of 85 (27.7%) samples exceeded the maximum residue levels (MRLs). Particularly, the maximum concentration of chlorpyrifos was 23.8mgkg-1, almost 50 times of the MRLs in food in GB 2763-2021, while there's no standard restrictions specified in CHMs in China. The chronic, acute, and cumulative risk assessment results indicated that risk exposure of the three types of CHMs were unlikely to pose a health risk to consumers. However, more attention should be paid to the multiple residues with the presence of four or more pesticides in one sample and high over-standard rate of pesticides. The pesticide users and the government should pay more attention to the pesticides used in CHMs and regularly monitor the presence of these compounds. The study recommended the MRLs of these pesticides in CHMs should be established and perfected by the relevant departments in China.

PROTECTIVE EFFECT OF GINGER (ZINGIBER OFFICINALE) AND CLOVE (SYZYGIUM AROMATICUM) AGAINST INDUCED HEPATOTOXICITY BY DIMETHOATE IN EXPERIMENTAL ANIMALS

Usage of pesticides is world wide spread have harmful effect on human health via environmental or occupational exposure, that pollute water, soil and food. This experimental study aims to investigate possible antioxidant and protective activities of ginger (Zingiber officinale) and clove (Syzygium aromaticum) aqueous extracts against induced injury of liver hepatocytes using the organophosphate Dimethoate (DM) in rabbits. Thirty adult male rabbits from local market were divided into five groups (6 animals in each). (1) control rabbits, (2) rabbits were given DM (20 mg/kg B. w daily dose 1/20 of half the lethal dose), (3) rabbits were given ginger extract (400 mg/kg B.W) daily dose and then DM, (4) rabbits were given clove extract (100 mg/kg B.W) daily dose and then DM, (5) rabbits were given ginger with clove extracts and then DM as previous dose for 30 days. At the end of the experiment animals were anesthetized and then sacrificed. The blood sample was collected for biochemical analysis. Dimethoate resulted in significant increase in the activity of aminotransferase (AST), alanine aminotransferase (ALT) and alkaline phosphatase (ALP) compared with control. Significantly increased level of both total and direct bilirubin were observed. However, the total protein and albumin were decreased. The ginger and clove extracts either separately or combined in groups 3,4 and 5 showed significantly improvement and decrease activity of liver enzymes AST, ALT and ALP. On the other hand, decreased in total bilirubin compared with DM group were recorded. While increased the serum levels of total protein and albumin were observed. It could be included that ginger and clove extracts were effective in protecting against induced hepatotoxicity by treating liver functions. Therefore, we recommend these two plants by moderate amounts to be added in the daily meals and drinks.

Ecological Status of Treehopper Caresa tuarina in District Hyderabad, Sindh Pakistan

The treehopper, also known as Caresa tuarina, is an intriguing creature with more than a hundred recorded species. Treehoppers are a very diverse group of insects, that play a crucial role in the ecosystem, yet many species remain uncovered in terms of their ecological status. Objectives: To investigate the ecological status of C. taurina and propose conservation strategies to ensure its preservation in the district Hyderabad, Sindh, Pakistan. Methods: Field survey was carried out in different areas of Hyderabad to investigate the habitat and population of C. tuarina. For preservation of C. taurina specie, naphthalene balls and 70% alcohol were used. Environmental factors including temperature, humidity, plant cover, air pressure, soil type, and UV index and habitat structure were noted at each sample location. Results: The collected treehoppers were small size insects, measuring around 8 mm in length. Agricultural areas and riparian zones were shown to be important habitats for C. taurina populations. Different physical characteristics included soil type was lay and whose terrain was plane land; there was a full moon, 34°C in the mean temperature; 27% Mean humidity; 21.22 psig of air pressure; and a moderate UV index. Urbanization, intensified agriculture, pesticide usage, and changes in habitat appropriateness brought on by climate change are the main causes of habitat degradation for populations of C. taurina. Conclusions: It is concluded that population of treehoppers (C. tuarina) mostly found in agriculture and riparian zones. They are facing habitat degradation as a result of urbanization, intensive agriculture, pesticide use, and changes in habitat appropriateness brought on by climate change.

Toxic Impact of Chlorpyrifos Insecticide on the Ovary of Pigeon (Columba Livia Domestica)

Modern agriculture and vector-borne diseases are responsible for the rapid increase in pesticide usage, which is harmful to animals, particularly birds. The declining in the diversity of bird’s species is a major concern Chlorpyrifos (CPF) is the commonly used insecticide in agriculture sector. Unfortunately, CPF is still being applied across the world. Objective: To evaluate the toxic impact of chlorpyrifos on the ovaries of the pigeon in relation to the reproductive toxicity. Methods: For this purpose, N=80 healthy (Columba Livia domestica) pigeons were used. Pigeons had been acclimated for fifteen (15) days and divided into four equal groups (A-D) Oral dosages 1.3 mg, 1.6 mg, and 2.1 mg per kg body weight per day of chlorpyrifos (CPF) were administered respectively to group B, C and D for 84 consecutive days and pigeons from group (A) assigned as control. Daily observations were made on stress-related signs and behavioral changes. (H &amp; E) staining method was applied to examine histological change in the ovary of pigeons after exposure to CPF, likewise for the control. Results: Birds from groups B-D displayed notable clinical signs such as: tremors, salivation, open-mouth breathing, ruffled feathers, lethargy and watery diarrhea and reduced food intake. The Histological examinations revealed that the ovary of pigeons from the B, C, and D showed notable variations such as follicular degeneration, vacuolation, hypertrophy, and fibrosis after exposure to CPF. The intensity was on high doses as compared to control which were with normal ovarian articulation small containing big follicles of all diameters. Oocytes, thecal layers, granulosa layers (g), stromal Tissue, and nucleus contained yolk-like secondary oocytes, mature follicles. Conclusions: In current study it was concluded that, the CPF produced drastic impact on the ovary of pigeon that may be associated with alterations in reproduction.

An enzyme-responsive core-double shell structured nano pesticide delivery system for improving the UV stability of emamectin benzoate (EB)

Currently, the inefficient application of pesticides results in substantial cost wastage and severe environmental contamination. The rapid advancement of nanomaterials and controlled/sustained-release technologies offer a promising guidance for reducing pesticide usage and enhancing pesticide bioavailability. In this study, naturally derived Zein and β-cyclodextrin (β-CD) polysaccharide were employed for synergistic encapsulation of emamectin benzoate (EB) pesticide molecule. Specifically, amino-functionalized Zein (AM-Zein) was effectively self-assembled onto β-cyclodextrin (β-CD) through electrostatic and hydrogen bonding interactions, with simultaneous encapsulation of EB through hydrophobic interactions, thereby establishing a core-double shell structured nano pesticide delivery system (EB@β-CD/AM-Zein). Compared to the single AM-Zein and β-CD, the double shell structured β-CD/AM-Zein demonstrated a notably higher encapsulation efficiency for EB. Importantly, the half-life period (t0.5) under UV irradiation of EB for EB@β-CD/AM-Zein was almost three times longer than that of EB alone. Enzyme-responsive controlled-release tests for EB@β-CD/AM-Zein revealed that the majority of EB was encapsulated within the inner β-CD layer. Specifically, the degradation of β-CD by α-amylase enabled the intelligent responsive release feature of EB. Moreover, the insecticidal activity of EB@β-CD/AM-Zein remained stable. This research offers valuable insights for developing effective and environmentally safe nano pesticide systems.

Anthropogenic–induced environmental and ecological changes in the Nile Delta over the past half-century

Anthropogenic activities over the past half-century have had a negative impact on the wetland ecosystem in the Nile Delta, which provides essential provisioning and regulating services. Therefore, it is crucial to systematically investigate pollution levels and their ecological consequences at both spatial and temporal scales in order to promote sustainable development. In this study, data on metal pollution in the Manzala Lake were compiled through a systematic review of all published literature from 1968 to 2020. Additionally, agricultural data (including land use, pesticide and fertilizer usage, and discharge) and economic data for the same time period were collected to identify the main drivers of pollution. The results indicated an overall increasing trend in heavy metal concentrations during the study period. The average concentrations of metals, arranged in descending order, were as follows: Fe (15,115.5 μg/g) > Mn (722 μg/g) > Zn (115.4 μg/g) > Cu (65.9 μg/g) > Ni (62.5 μg/g) > Cr (58.1 μg/g) > Pb (54.1 μg/g) > Cd (4.7 μg/g) > Hg (0.1 μg/g). A linear regression model revealed that wastewater discharge, water reuse, and the use of pesticides and fertilizers are the main sources of heavy metal pollution in the Manzala Lake. Consequently, there has been a dramatic decrease in the biodiversity of fish and molluscan communities. The study also found a correlation between heavy metal pollution and socio-economic development, highlighting the urgent need for attention to the conservation, management, and sustainable development of the lake.

Determination of Pesticide Residues in Vine Leaves Using the QuEChERS Method and Liquid Chromatography-Tandem Mass Spectrometry.

Commercial viticulture necessitates regular pesticide applications to manage diseases and pests, raising significant concerns regarding pesticide residues among stakeholders. Due to health risks associated with these residues in Turkish vine leaves, the European Commission has increased the frequency of official control from 20% to 50%. Thus, the aim of this study was to determine multi-class pesticide residues in brined vine leaves from Turkey. A total of 766 samples of vine leaves were collected between May 2022 and June 2023. More than 500 residues were analyzed using the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method, followed by liquid chromatography-tandem mass spectrometry. In-house validation data demonstrated that the analytical method exhibits fit-for-purpose performance in terms of linearity, accuracy, precision, and measurement uncertainty. Out of 766 samples analyzed, 180 samples (23.5%) contained one (131, 17.1%) or multiple (49, 6.4%) pesticides. Both the frequencies of occurrence and the rate of maximum residue level (MRL) exceedance increased in 2023 compared to 2022, with the MRL exceedance rate rising from 9.5% to 25.2%. Forty-three different residues were found in quantifiable concentrations and eight of them were non-approved. Among the residues, the non-systemic pyrethroid insecticides, lambda-cyhalothrin (8.0%) and cypermethrin (7.2%), were the two most frequently detected, with concentrations ranging from 0.010 to 0.248 mg kg-1 and from 0.011 to 0.533 mg kg-1, respectively. Turkey is a major exporter of vine leaves and these results provide crucial information regarding pesticide occurrence and quality assessment of vine leaves. The significant increase in both pesticide occurrence and MRL exceedance rates between 2022 and 2023 underscores the urgency for regulatory bodies to reassess current pesticide usage and monitoring practices. The findings emphasize the importance of implementing more stringent rules and improving enforcement methods in order to reduce the spread of unapproved pesticides and ensure adherence to global food safety standards.

Physicochemical Properties and Microbiome of Vineyard Soils from DOP Ribeiro (NW Spain) Are Influenced by Agricultural Management.

Agricultural management influences the soil ecosystem by affecting its physicochemical properties, residues of pesticides and microbiome. As vineyards grow crops with the highest incidence of pesticides, the aim of this study was to evaluate the impact of conventional and sustainable management systems of vineyards from DOP Ribeiro on the soil's condition. Samples from soils under three different management systems were collected, and the main soil physicochemical properties were evaluated. A selection of 50 pesticides were investigated by liquid chromatography with tandem mass spectrometry. The bacterial and fungal microbiomes were characterized through amplicon sequencing. The results show that organic agriculture positively influences soil pH and the concentration of some nutrients compared to conventional management. Our microbiome analysis demonstrated that transitioning from conventional to organic management significantly improves several BeCrop® indexes related to key microbial metabolism and soil bio-sustainability. Such a transition does not affect soil alpha diversity, but leads to a higher interconnected microbial network structure. Moreover, differential core genera and species for each management system are observed. In addition, the correlation of the microbiome with geographical distance is evidence of the existence of different microbial terroirs within DOP Ribeiro. Indeed, sustainable management leads to higher nutrient availability and enhances soil health in the short term, while lowering pesticide usage.

Can crop insurance help optimize farmers’ decisions on pesticides use? Evidence from family farms in East China

Pesticides are important agricultural inputs, which can effectively reduce crop growth risk, but irrational use of pesticides also brings major challenges to the green development of agriculture. This paper constructs a theoretical framework of the effect of crop insurance on pesticides usage. Then using family farm survey data in East China, we measure the marginal value cost ratio (MVCR) of pesticides use through the improved damage abatement production function (DAPF), and empirically analyze the impact of crop insurance on MVCR of pesticides use by employing the endogenous treatment effect model (ETEM). The results show that 42.6% of family farms in the sample area purchased crop insurance, and almost all family farms overused pesticides, but the degree was relatively lower among the family farms with crop insurance. Crop insurance has a significantly positive effect on the MVCR of pesticides use, which indicates that it can optimize farmers’ pesticides use behavior. This conclusion is also confirmed by several robustness checks. Thus, the promotion of agricultural insurance can play the role of promoting the green development of agriculture to a certain extent.

Assessing the level of organic farming development in the European countries

Organic farming is an essential approach to agriculture that seeks to reduce the negative impact of human activities on the environment and ensure the sustainability of food production. The study aims to determine the integral index of the development of organic farming and to create a clustering model of organic farming in European countries. As a research methodology, additive-multiplicative convolution was used to determine the integral index of organic farming development. Cluster analysis (the Ward method and the k-means clustering method) identified respective clusters. The integrated index is based on eight indicators of organic farming from the Eurostat database, 2012–2020, and ranges from zero to one. The following countries have the highest value of the integral index: Italy (0.57), France (0.54), Spain (0.54), Germany (0.45), and Turkey (0.47). Three clusters were identified according to eight indicators of organic agriculture. The first cluster includes countries-leaders in agricultural territories (about 2.1 million hectare) with the highest state financial support for agricultural research and development (1.1 billion euros). The second cluster includes countries with the most minor organic farming operators (50-100 operators). The third cluster includes countries with the highest index of annual income from the sale of farm products (200-220 points) but with the highest level of usage of dangerous pesticides (250 points). The heterogeneity of clusters allows one to determine the strengths and weaknesses of organic farming in European countries.

Development and Characterization of a Contact-Charging Electrostatic Spray UAV System

Utilizing agricultural UAVs for pesticide and insecticide spraying is an effective measure for plant protection. However, achieving effective coverage on the back side of target is often challenging. To address this issue, this study combined a contact-charging spraying system with a UAV to develop an electrostatic plant protection UAV system. Upon activating the electrostatic component, strong electrostatic effects were observed at the nozzle, altering the distribution of the liquid flow; the distribution within the liquid flow became more homogeneous, while the edge regions experienced electrostatic repulsion, leading to changes in droplet size and an increase in droplet density. In the central area, droplet size reduced from 159 μm to 135 μm, while in the edge area, it changed from no value to 120 μm. During field tests using the UAV, the results showed an increase of 1.0 m in effective spray width (at a flight height of 4.0 m), indicating that the charges and propellor wind field contributed to the diffusion of droplets towards the edges. Additionally, the droplet density increased by an average of 19.7 droplets/cm2, and the overall deposition increased by 0.12 μL/cm2, resulting in an approximate three-fold increase compared to conventional spray, which aids in insect control and reduces pesticide usage.

Determinants of pesticides use among tomato farmers in the Bono and Ahafo regions of Ghana

Tomato production plays a crucial role in the livelihoods of farmers and agricultural households in the forest savanna transitional belt of Ghana. However, the success of tomato cultivation is hindered by the presence of insect pests and diseases, necessitating the use of agricultural inputs. This study aimed to identify the pesticides used in tomato farming, assess their World Health Organization (WHO) active ingredient hazard class, determine the precautionary behaviour associated with pesticide use by tomato farmers, and elucidate the socio-economic factors influencing pesticide usage in the Bono and Ahafo regions of Ghana. A multistage sampling procedure was employed to select 1009 respondents, who were administered a structured questionnaire. Descriptive statistics and logistic regression models were used to analyse the collected data. The results revealed that tomato farmers utilized 15 types of insecticides (e.g., lambda and chlorpyrifos ethyl based), 8 types of fungicides (e.g., mancozeb and sulphur + copper based), and 6 types of weedicides (mostly glyphosate based) on their crops. Notably, four insecticides and two fungicides types were found to be unregistered products. Lambda-cyhalothrin-based insecticides and mancozeb-based fungicides were predominantly used by the farmers. The assessed pesticides exhibited varying levels of hazard, ranging from slight to moderate. The study found that farmer training was a significant driver influencing insecticide use, while the educational level of farmers and average yield played important roles in determining fungicide use. Socio-economic factors such as being the head of the household, employing farm workers, the cultivated tomato variety, and farmer training influenced weedicide use. The type of tomato variety cultivated emerged as the primary socio-economic driver of pesticide use. The study recommended the establishment and implementation of a systematic monitoring regime for pesticide product marketing and use, with the aim of reducing the utilization of unregistered products by farmers. Implementing these measures supports sustainable tomato farming in the Bono and Ahafo regions of Ghana.

Modeling the intention and usage of organic pesticide control using value-belief-norm model

The degradation of farming lands caused by excessive pesticide usage is a growing concern. One of the most effective strategies for preventing this disaster from worsening is to commence organic pesticide management at a mass level. Although farmers depend highly on synthetic pesticides and fertilizers to obtain higher yields and profitable returns, the adoption of these synthetic inputs have remained surprisingly low in many agricultural contexts, spanning both developing and developed countries. The goal of this study is to utilize the Value-Belief-Norm (VBN) theory as a framework for understanding the critical sociopsychological factors influencing farmers’ decision to use organic pesticides. Specifically, this study aims to introduce and assess the impact of a new construct, i.e., the social norm withing the VBN framework. Additionally, this study empirically evaluates the core components of VBN theory and their causal relationship. The data was collected from 322 farmers from Zhoukou, Henan province, China using a survey questionnaire. The findings show that farmers’ egoistic values significantly impact the ecological worldview, despite the fact that biospheric values had no discernible effect. The ecological worldview also profoundly influences the farmers’ awareness of consequences and their personal norms. Although the study finds awareness of consequences to have no significant effect on personal norms, it has a substantial positive impact on ascription of responsibility. In addition, ascription of responsibility significantly influences farmers’ personal norms, which substantially impacts the intention to use organic pesticides. The results also reveal that farmers’ intentions significantly impact the usage of organic pesticides. The study’s findings can help strengthen essential factors among farmers that can improve their perception of organic agricultural methods, create strategies for managing controlled agrochemicals, and successfully stop environmental degradation by toxic inputs.

E2ETCA: End-to-end training of CNN and attention ensembles for rice disease diagnosis1

Rice is one of the most important crops worldwide. Diseases of the rice plant can drastically reduce crop yield and even lead to complete loss of production. Early diagnosis can reduce the severity and help efforts to establish effective treatment and reduce the usage of pesticides. Traditional machine learning approaches have already been employed for automatic diagnosis. However, they heavily rely on manual preprocessing of images and handcrafted features, which is challenging, time-consuming, and may require domain expertise. Recently, a single end-to-end deep learning (DL)-based approach was employed to diagnose rice diseases. However, it is not highly robust, nor is it generalizable to every dataset. Hence, we propose a novel end-to-end training of convolutional neural network (CNN) and attention (E2ETCA) ensemble framework that fuses the features of two CNN-based state-of-the-art (SOTA) models along with those of an attention-based vision transformer model. These fused features are utilized for diagnosis by the addition of an extra fully connected layer with softmax. The whole procedure is performed end-to-end, which is very important for real-world applications. Additionally, we feed the extracted features into a traditional machine learning approach support vector machine for classification and further analysis. To verify the effectiveness of our proposed E2ETCA framework, we demonstrate it on three publicly available datasets: the Mendeley Rice Leaf Disease Image Samples dataset, the Kaggle Rice Diseases Image dataset, the Bangladesh Rice Research Institute dataset, and a combination of these three datasets. On the basis of various evaluation metrics (accuracy, precision, recall, and F1-score), our proposed E2ETCA framework exhibits superior performance to existing SOTA approaches for rice disease diagnosis, which can also be generalizable in similar other domains.

Identification and characterization of novel resistant genotypes of Gymnema sylvestre (Retz.) R. Br. ex Sm. against invasive mealybug species, Phenacoccus solenopsis Tinsley and Paracoccus marginatus Williams and Granara de Willink for sustainable pest management

Madhunashini, Gymnema sylvestre R. Br. ex Sm. (F: Asclepiadaceae) is an important industrial medicinal plant that has various pharmacological properties like antidiabetic, antiobesity, anticarcinogenic and neuroprotective. The invasive mealybugs, i.e., Phenacoccus solenopsis and Paracoccus marginatus, are causing significant yield losses to G. sylvestre in India. The identity of the mealybug species, P. solenopsis and P. marginatus, were confirmed both morphologically and molecularly by using Cytochrome c oxidase subunit I (COI) gene with (GenBank Accession No. OQ349395 and OQ358124). The pest incidence occurs throughout the year, but its peak activity was observed during the summer months (April to August). In the current investigation, 30 genotypes were examined for their resistance against mealybugs in their natural field environment for three consecutive years from 2019 to 2021 in the geographical region of Anand, Gujarat, India. The pooled analysis showed that the severity of infestation ranged between 0.41 and 3.57. Our study results revealed that 10% of the genotypes i.e. DGS-18, DGS-26, and DGS-28, were highly resistant. Furthermore, 16.66% of the genotypes, i.e. DGS-13, DGS-15, DGS-22, DGS-30, and DGS-33 were categorized as resistant. The novel resistant genotypes identified in the present study will be helpful for the management of P. solenopsis and P. marginatus, in G. sylvestre. The resistant genotypes have excellent scope for reducing the use of pesticide usage as well as help in mitigating pesticide residue.

Relationship between pesticide research output and GDP: a socio-economic analysis

Purpose The focus of this study was to evaluate the relationship between research publications in the pesticide field, a country’s gross domestic product (GDP) and GDP per capita. The study aims to analyze pesticide use in association with a country’s population and research publications. The purpose of this study is to uncover the country’s contribution to pesticide research and assess the financial resources allocated to it as a percentage of their GDP by exploring these factors. Design/methodology/approach The Web of Science database was used to retrieve data for the period of 2001–2020. The use of scientometric indicators allowed for the analysis of the collaborative patterns and active performance of countries in pesticide research. Socio-economic analysis was used to determine the contribution of countries toward pesticide research. Findings This study demonstrated a strong association (0.952%) between a country’s GDP and its research publications in the field of pesticide research. Countries, such as Denmark, Belgium and Australia, have benefited from global collaboration, which has enhanced their research efforts. Despite ranking lower in pesticide utilization, India focused on pesticide research, as indicated by its high publication/GDP per capita ratio (0.26). Originality/value Research on pesticides directly impacts agricultural practices, which, in turn, influence the economic production of the agricultural sector. Changes in pesticide usage can have inference for crop yields, food price and, eventually, the GDP. Comparative analysis can assist in evaluating the efficiency of regulatory policies in balancing ecological concerns with economic interests. Changes in regulations may impact both pesticide usage and economic outcomes.

Agricultural insurance and pesticides selection in China: traditional or green?

PurposeNumerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’ selection on green or traditional pesticides. This paper aims to develop a theoretical model about how agricultural insurance influences on green pesticides selections and tests our conclusions by using the data from China land economic survey (CLES) from 2020 to 2021.Design/methodology/approachWe employ probit model to capture the effects of agricultural insurance on green pesticides adoption.FindingsWe indicate that green pesticides have a stronger effect on stabilizing yield and increasing income than traditional pesticides, but there are still risks disturbing farmers’ decisions on green pesticides usage. By providing premium subsidies after the farmers are affected by natural risk, agricultural insurance improves the farmers’ expected income and encourages farmers to use green pesticides. Further, we further confirm these conclusions by considering different scenarios such as climate risks, farmers’ entrepreneurship and credit constraints. We find that the effects are more salient if croplands are under higher natural risks and, farmers are equipped with entrepreneurship and formal credit. This paper implies that the agricultural insurance decoupled with green technologies also have salient positive effects on agricultural pollution control.Originality/valueThe potential contributions of this paper can be outlined in three aspects in detail. Firstly, this paper aims to revel the effects of agricultural insurance on pesticide selection by structuring a general theoretical model. By using the CLES data from 2020 to 2021, we confirm that agricultural insurance increases the probability for adopting green pesticides. Secondly, this paper discusses the effects of farmers’ characteristics on the results and finds that if farmers have entrepreneurship, the effects of agricultural insurance on green pesticide usage will be more salient. Thirdly, it uncovers some practices in China, which will supply experiences for other developing countries. For example, this paper further demonstrates that “insurance + credit” plan the present Chinese government carried out will be an important measure for strengthening effects of agricultural insurance on green pesticides usage. Moreover, it shows that decouple agricultural policies will also guide farmers to use green technologies eventually if the technologies are reliable and farmers can afford.