Use Of Pesticides Research Articles

Pesticide delivery microcapsule based on maleic anhydride‐functionalized cellulose nanocrystals‐stabilized pickering emulsion

AbstractThe efficient use of pesticides is conducive to the harmonious coexistence of humans and nature, and pesticide transport carriers can enhance the utilization value of pesticides. However, design flaws in many pesticide carriers have resulted in numerous environmental and toxicity problems. Therefore, this paper proposed a method for synthesizing pesticide microcapsules using Pickering emulsion templates stabilized by maleic anhydride‐functionalized cellulose nanocrystals‐g‐poly (methyl methacrylate) (MACNCs‐g‐MMA), viz., simple radical polymerization of maleic anhydride‐functionalized cellulose nanocrystals with methyl methacrylate in Pickering emulsion. The structure and morphology of microcapsules were characterized via the FT‐IR, XRD, TG‐DTG, and SEM techniques. The imidacloprid‐loaded MACNCs‐g‐MMA (IMI@MACNCs‐g‐MMA) presented a high encapsulation efficiency (~94.13%) and drug loading efficiency (~24.00%). The release behavior was affected by temperature, viz., higher temperature promoted the release of IMI. Regarding the spread and retention on the leaf surface, the IMI@MACNCs‐g‐MMA demonstrated significant advantages over commercial IMI water‐dispersible granules (CG) (36.9° vs. 104.9° for contact angle, 14.3 vs. 30.0 mg cm−2 for retention). This study provides a promising pesticide formula for sustainable agriculture.

Assessment of residues from common pesticides and associated risks in Pakistan.

Pesticide residues have become an escalating concern in Pakistan, raising significant risks to both public health and the environment. This review overviews the current status of pesticide contamination in the country, with a specific focus on residue levels in relation to Maximum Residue Limits (MRLs) and a comparative analysis with regional and global counterparts. Several studies reveal that 30% to 70% of tested food products, including fruits, vegetables, and animal-derived products, especially in Punjab and Sindh, exceed established MRLs. This level of contamination is considerably higher than in neighboring countries such as India, where MRL exceedance ranges from 20 to 30%, and Bangladesh, which reports lower levels due to stricter regulatory efforts. In comparison, developed countries, including those in the European Union and the United States, report less than 5% of food samples exceeding MRLs, often falling below 1% due to stringent safety standards. The high prevalence of pesticide residues in Pakistan poses severe health risks, including neurological disorders, reproductive problems, and cancer, particularly in vulnerable groups like children and pregnant women. Key factors contributing to these elevated pesticide levels include insufficient knowledge of safe pesticide use, the unregulated application of banned or expired products, improper safety protocols, and malfunctioning equipment. A prevailing reliance on pesticides as the sole pest control method further hinders the adoption of Integrated Pest Management (IPM) strategies. In conclusion, pesticide residue levels in Pakistan are above permissible MRLs compared to regional and global standards, underscoring the need for urgent improvements in pesticide regulation, enforcement, and the promotion of sustainable pest control methods like IPM to better protect human health and the environment.

First evidence of age-dependent decreases in non-persistent pesticide mixtures in nestlings of a farmland raptor

Intensive use of synthetic pesticides in conventional agriculture may harm non-target organisms through sublethal effects on life-history traits. Farmland birds are exposed throughout their life cycle, but the fate of non-persistent pesticide mixtures in wild birds remains unknown. In this study, we investigated changes in pesticide contamination levels in Montagu’s harrier (Circus pygargus) nestlings during their growth. In total, 35 chicks were sampled twice during the rearing period, and blood was tested for 116 pesticides to assess pesticide load through two proxies; the number of pesticides detected and the sum of pesticide concentrations. Body mass and tarsus length were also measured to estimate body condition. Across the two sampling times, nine herbicides, five insecticides and four fungicides were detected. Contamination levels decreased significantly with nestling age irrespective of sampling date, and there was no relationship between pesticide load and body condition. Moreover, concentrations of chlorpyrifos-methyl, fenpropidin, metamitron, picloram and S-metolachlor, all detected throughout the rearing period, were unrelated to any of the explanatory variables. However, ethofumesate concentrations decreased significantly with chick age. This study provides the first evidence that non-persistent pesticide mixtures can decrease with age in wild nestlings. This has implications for understanding how chicks are contaminated and provides new insights on pesticide fate within organisms.

Knowledge, Attitude and Practices of Pesticides Use and Serum Cholinesterase Level Among Farm Workers in Bhaktapur – A Cross Sectional Study

Abstract Introduction/Objective Pesticides use has been an integral part of modern agricultural practices. Lack of knowledge and unsafe handling of pesticides uses have kept the farm workers in the frontline of vulnerability. Serum cholinesterase show a dose-exposure relationship with organophosphorus. This study aims to identify the existing knowledge, attitude and practices of pesticides use among farm workers and to measure the serum cholinesterase level before and after spraying of the pesticides. Methods/Case Report This is a cross-sectional study carried out among farm workers of Madhyapur Municipality, Bhaktapur, Nepal. Ethical clearance was obtained from Nepal Health Research Council, Nepal. House hold survey was carried out for the knowledge, attitude and practices of pesticides use using structured questionnaires. Written consent was taken. Blood was collected twice, before and after spraying season for 97 farm workers. Serum cholinesterase was analyzed in the vitros 4600 biochemistry analyzer. Paired t-tests and chi square tests were used for statistical analysis. Results (if a Case Study enter NA) The mean cholinesterase of farm workers before and after pesticide spraying was 6.92±1.47 U/mL and 6.49±1.47 U/mL respectively, with p value of <0.001. There were also significant differences of serum cholinesterase level among farm workers before and after pesticide spraying on the basis of education level, type of involvement either full time or part time and prior integrated pest management training. This study found that 63% of respondents had good knowledge on pesticides while 25% had average and 12% had poor knowledge. Similarly, this study also found that 54% of respondents had good knowledge on pesticides use while 26% had average and 20% had poor knowledge. However, this study showed that only 44% of farm workers had good practice. Association between knowledge of pesticide and practices and between knowledge of pesticides use and practices were statistically significant with p-value of 0.001 and 0.001 respectively. Conclusion There is a significant difference in the level of serum cholinesterase before and after spraying pesticides in farm workers. Lack of education, lack of integrated pest management training and poor practices of pesticides use are the reasons behind the difference in the serum cholinesterase level.

What Explains Hop Growers' Fungicide Use Intensity and Management Costs in Response to Powdery Mildew?

Methods for causal inference from observational data are common in human disease epidemiology and social sciences but are used relatively little in plant pathology. We draw upon an extensive data set of the incidence of hop plants with powdery mildew (caused by Podosphaera macularis) collected from yards in Oregon from 2014 to 2017 and associated metadata on grower cultural practices, cultivar susceptibility to powdery mildew, and pesticide application records to understand variation in and causes of growers' fungicide use and associated costs. An instrumental causal forest model identified growers' spring pruning thoroughness, cultivar susceptibility to two of the dominant pathogenic races of P. macularis, network centrality of yards during May-June and June-July time transitions, and the initial strain of the fungus detected as important variables determining the number of pesticide active constituents applied by growers and the associated costs they incurred in response to powdery mildew. Exposure-response function models fit after covariate weighting indicated that both the number of pesticide active constituents applied and their associated costs scaled linearly with the seasonal mean incidence of plants with powdery mildew. Although the causes of pesticide use intensity are multifaceted, biological and production factors collectively influence the incidence of powdery mildew, which has a direct exposure-response relationship with the number of pesticide active constituents that growers apply and their costs. Our analyses point to several potential strategies for reducing pesticide use and costs for management of powdery mildew on hop. We also highlight the utility of these methods for causal inference in observational studies.

A Comprehensive Overview on Sustainable Vegetable Gardening: Eco-friendly Approaches to Home Grown Production

Sustainable vegetable gardening is an eco-friendly practice that integrates organic farming principles, resource conservation, and biodiversity promotion to produce nutritious, chemical-free food while minimizing environmental impact. This approach emphasizes soil health through the use of organic amendments, crop rotation, composting, and mulching to improve fertility and water retention. Water conservation techniques, such as drip irrigation and rainwater harvesting, are employed to optimize water use, especially in arid regions. Pest and disease management relies on integrated pest management (IPM), biological controls, companion planting, and the use of organic pesticides to reduce chemical input while maintaining crop health. Sustainable homegrown produce has been shown to have superior nutritional content compared to commercially grown produce, and the avoidance of synthetic chemicals reduces the risk of pesticide residue exposure. Gardening fosters healthy eating habits by connecting individuals to their food sources, encouraging the consumption of fresh, unprocessed vegetables, and contributing to food security. The mental and physical health benefits of gardening, including reduced stress, increased physical activity, and improved mental well-being, further highlight its holistic value. However, challenges such as the initial setup costs, time investment, pest management, and knowledge gaps can hinder widespread adoption. Addressing these challenges requires greater access to resources, educational initiatives, and the development of climate-resilient practices tailored to specific regions. Future trends in sustainable gardening include the adoption of technological innovations, such as smart irrigation systems, automation, and vertical farming, which offer scalable solutions for urban and small-scale gardeners. The COVID-19 pandemic has underscored the importance of resilient, local food systems, and sustainable gardening is poised to play a critical role in addressing future food security concerns.

A Review of Biological Control One Decade After the Sorghum Aphid (Melanaphis sorghi) Outbreak.

Melanaphis sorghi is a pest that is native to Africa but is now distributed worldwide. In 2013, its destructive capacity was demonstrated when it devastated sorghum crops in the United States and Mexico, making it a new pest of economic importance in North America. At the time, the phytosanitary authorities of both countries recommended the use of pesticides to control the outbreak, and biological control products for the management of this pest were not known. In response to the outbreak of M. sorghi in North America, several field studies have been performed in the last decade on sorghum crops in the USA and Mexico. Works have focused on assessing resistant sorghum hybrids, pesticide use, and recruitment of associated aphid predators and entomopathogens for natural control of M. sorghi populations. The objective of this review is to compile the information that has been generated in the past decade about indigenous enemies affecting M. sorghi naturally in the field, as well as the search for biological control alternatives and evaluations of interactive effects of resistant sorghum hybrids, pesticides, and natural enemies. To date, different predators, parasitoids, fungi, and bacteria have been evaluated and in many cases found to affect M. sorghi populations in sorghum agroecosystems or laboratory bioassays, and the use of resistant sorghum varieties and pesticides did not have clear toxic effects on natural enemy populations. Many of the macroorganisms and microorganisms that have been evaluated as potential biological controls have shown potential as alternatives to synthetic pesticides for keeping M. sorghi population densities below economic damage thresholds and are compatible with integrated management of sorghum aphids. While most tests of these biological alternatives have shown that they have aphidicidal potential against sorghum aphids, it is crucial to take into account that their effectiveness in the field depends on a number of abiotic and biotic factors, including soil texture, temperature, humidity, and natural enemies.

A multifaceted analysis of pesticide utilization in market gardening along the Ruzizi plain: Exploring factors, farmer perceptions & media influence

Along the Ruzizi plain, subsistence agriculture constitutes households' primary food source. Regardless of the environment, the low level of pesticide use ensures less effective disease and pest control. This is why a study was carried out in the Ruzizi plain to identify the main determinants of pesticide use on vegetable crops for effective control of diseases and pests that significantly reduce the yield of these crops, which play an economically important role for producers and the role of the media in this context. The data was collected using a closed-type survey questionnaire on 90 market gardeners distributed equally between localities applying the probit model. The results of the probit model estimation reveal that about nine factors positively influence the use of pesticides: membership in a cooperative (p=0.0012), access to agricultural credit (p=0.0153), experience in agriculture (p=0.0008), experience in market gardening (p=0.0197), standard of living (p=0.0139), yield (p=0.0001), capacity building (p=0.0035), the area exploited (p=0.0011) and the cultivation system (p=0.0233). In addition, tomatoes are the leading vegetable crop grown by many market gardeners (61.1%), followed by amaranth (20%) and onions (18.9%). Also, 67.8% of market gardeners use pesticides compared to 32.2% who do not use them. Thus, considering these factors would contribute to decision-making when carrying out certain activities to improve market gardening, contributing considerably to the fight against food insecurity. Also, it is advised that the media work harder to inform rural residents and areas about the agenda for rural development.

Influence of Cooperatives' Socialized Services on Agricultural Households' Chemical Fertilizer and Pesticide Use Intensity —Based on the Evidence from Two Counties, Hubei, China

Influence of Cooperatives' Socialized Services on Agricultural Households' Chemical Fertilizer and Pesticide Use Intensity —Based on the Evidence from Two Counties, Hubei, China

Screening and quantification of pesticides in wetland water, ice, sediment and soil: Occurrence, transport and risk assessment

Current researches on pesticides in wetlands are limited in terms of screening and quantification of many types of pesticides. Understanding the spatial and temporal dynamics, distribution patterns, and environmental risks of pesticides in multiple media is important for wetland ecological conservation. In this study, 222 pesticides were determined in multimedia samples collected simultaneously from the Songhua Wetland during four seasons. Concentrations of target pesticides in water, ice, sediment and soil ranged from 94.1 to 7445 ng/L, 62.6–953 ng/L, 0.82–50.2 ng/g dw, and 4.32–146 ng/g dw. Large spatial differences (p < 0.05) in pesticide concentrations in ice were found. However, there were no significant differences in the spatial and temporal distribution of pesticides in water, sediment, and soil (p > 0.05), suggesting that there were no correlation between the spatial and temporal use of pesticides. The dynamic exchange of pesticides between water-ice indicated that most pesticides were more enriched in water. However, there were still some pesticides (Dichlorvos and Biphenyl) that showed a stronger tendency to transfer from water to ice. Sediment-water exchange suggested that sediment is a source of secondary releases of most pesticides in wetland ecology, but is a sink for Biphenyl and Oxadiazon. The correlation between concentration ratios and fugacity fraction supported this finding. Most individual pesticides in wetland water and ice had shown low or moderate ecological risk conducted using risk quotient. The cumulative toxic effects of multiple pesticides had a high potential to pose a threat to wetland aquatic organisms.

ADL-YOLOv8: A Field Crop Weed Detection Model Based on Improved YOLOv8

This study presents an improved weed detection model, ADL-YOLOv8, designed to enhance detection accuracy for small targets while achieving model lightweighting. It addresses the challenge of attaining both high accuracy and low memory usage in current intelligent weeding equipment. By overcoming this issue, the research not only reduces the hardware costs of automated impurity removal equipment but also enhances software recognition accuracy, contributing to reduced pesticide use and the promotion of sustainable agriculture. The ADL-YOLOv8 model incorporates a lighter AKConv network for better processing of specific features, an ultra-lightweight DySample upsampling module to improve accuracy and efficiency, and the LSKA-Attention mechanism for enhanced detection, particularly of small targets. On the same dataset, ADL-YOLOv8 demonstrated a 2.2% increase in precision, a 2.45% rise in recall, a 3.07% boost in mAP@0.5, and a 1.9% enhancement in mAP@0.95. The model’s size was cut by 15.77%, and its computational complexity was reduced by 10.98%. These findings indicate that ADL-YOLOv8 not only exceeds the original YOLOv8n model but also surpasses the newer YOLOv9t and YOLOv10n in overall performance. The improved algorithm model makes the hardware cost required for embedded terminals lower.

Risk Factors for Musculoskeletal Disorders in Korean Farmers: Survey on Occupational Diseases in 2020 and 2022.

This study investigated factors influencing the prevalence of musculoskeletal disorders (MSDs) resulting from agricultural work, utilizing the 2020 and 2022 occupational disease survey data collected by the Rural Development Administration. The combined data from these years indicated a 6.02% prevalence of MSDs, reflecting a significant class imbalance in the binary response variables. This imbalance could lead to classifiers overlooking rare events, potentially inflating accuracy assessments. We evaluated five distinct models to compare their performance using both original and synthetic data and assessing the models' performance based on synthetic data generation. In the multivariate logistic model, we focused on the main effects of the covariates as there were no statistically significant second-order interactions. Focusing on the random over-sampling examples (ROSE) method, gender, age, and pesticide use were particularly impactful. The odds of experiencing MSDs were 1.29 times higher for females than males. The odds increased with age: 2.66 times higher for those aged 50-59, 4.60 times higher for those aged 60-69, and 7.16 times higher for those aged 70 or older, compared to those under 50. Pesticide use was associated with 1.26 times higher odds of developing MSDs. Among body part usage variables, all except wrists and knees were significant. Farmers who frequently used their necks, arms, and waist showed 1.27, 1.11, and 1.23 times higher odds of developing MSDs, respectively. The accuracy of the raw method was high, but the ROSE method outperformed it for precision and F1 score, and both methods showed similar AUC.

Mitigating pesticide pollution: A comprehensive study on the biological treatment of clodinafop-propargyl and organic load in agricultural wastewater using a moving bed biofilm reactor (MBBR)

The widespread use of pesticides in modern agriculture poses significant threats to public health and the environment. Addressing the growing environmental and economic concerns requires effective strategies for removing and mitigating agricultural toxins. This study evaluates the efficiency of a Moving Bed Biofilm Reactor (MBBR) in degrading clodinafop-propargyl (CF) and reducing organic matter in a controlled laboratory setting. The research focuses on initial CF concentration and hydraulic retention time (HRT) as key factors influencing removal efficiency. The biodegradation of CF was systematically carried out using the MBBR bioreactor. Results demonstrated maximum removal efficiencies of 82.51 % for CF, 88.78 % for Chemical Oxygen Demand (COD), 89.58 % for Total Phosphorus (TP), and 86.31 % for Total Nitrogen (TN). These findings highlight the MBBR's strong capability in eliminating CF and reducing nitrogen in wastewater, positioning it as a cost-effective and environmentally sustainable solution for pesticide pollution. The novelty of this study lies in its detailed examination of the MBBR's performance under varying operational conditions, providing critical insights into its efficiency and optimization. Overall, this research offers valuable contributions to environmental engineering, presenting a promising method for treating pesticide-laden agricultural wastewater and supporting sustainable farming practices.

A geo-gender-based analysis of human health: The presence of cut flower farms can attenuate pesticide exposure in African communities, with women being the most vulnerable.

The rapid expansion of the cut flower industry in Africa has led to pervasive use and potential exposure of pesticides, raising concerns for local communities. Whether the risks associated with pesticide applications are localised or have broader implications remains unclear. We measured biomarkers of real and perceived pesticide exposure in two Kenyan communities: Naivasha, where the cut flower industry is present, and Mogotio, where the cut flower industry is absent. We measured real exposure by the percentage of acetylcholinesterase (AChE) inhibition and perceived exposure by assessing hair cortisol levels, a biomarker of stress. Additionally, we conducted a demographic survey to evaluate the health and socioeconomic status of participants, as well as their perceptions of pesticide risks associated with the cut flower industry. Perceived pesticide exposure was more common in Naivasha (n = 36, 56%) compared to Mogotio (n = 0, 0%), according to community surveys. However, Mogotio residents had significantly higher mean hair cortisol levels (mean (x̄) = 790 ng/g, standard deviation (SD) = 233) and percentage of AChE inhibition (x̄ = 28.5%, SD = 7.3) compared to Naivasha residents, who had lower mean hair cortisol levels (x̄ = 548 ng/g, SD = 187) and percentage of AChE inhibition (x̄ = 14.5%, SD = 10.1). Location (proximity to cut flower farms) and gender were significant factors influencing pesticide exposure, with individuals living outside the cut flower industrial complexes being at higher risk. Women in both communities were the most vulnerable demographic, showing significantly higher mean hair cortisol levels (x̄ = 646 ng/g, SD = 267.4) and percentage of AChE inhibition (x̄ = 22.5%, SD = 12.4) compared to men hair cortisol levels (x̄ = 558.2 ng/g, SD = 208.2) and percentage of AChE inhibition (x̄ = 10.4%, SD = 13.1). A heightened awareness of the potential risks of pesticide exposure was widespread within cut flower industrial complexes. This may have led to a reduction in exposure of both workers and non-workers living within or close to these complexes. In contrast, communities living outside these complexes showed higher levels of exposure, possibly due to limited chemical awareness and a lack of precautionary measures. Despite this contrast between communities, women remained the most vulnerable members, likely due to their socioeconomic roles in African society. Monitoring women's pesticide exposure is crucial for providing an early warning system for community exposure.

Significance of honeybee pollination in increasing seed yield of Trifolium alexandrinum (Fabales: Fabaceae)and its impact on economic sustainability of smallholder farmers.

A major limitation to producing high seed yields in berseem clover (Trifolium alexandrinum L.) is failure to set seed, predominantly due to lack of pollination. Despite the importance of berseem clover as a leading forage legume, the contribution of pollinators to seed set is scarce. In Pakistan, the honeybee population is declining mainly because of the extensive use of neonicotinoid pesticides and habitat fragmentation. This, combined with the region's harsh environment and the use of inferior, locally bred genotypes, has resulted in low seed yields. Insufficient seed availability leads to limited forage supply, resulting in poor livestock nutrition, which subsequently impacts livestock health and productivity, and reduces farmers' income. The present study estimated the seed production of 3 berseem clover genotypes resulting from honeybees [Apis mellifera L. (Hymenoptera: Apidae)] pollination in 2 growing seasons (2012-2014) in the central Punjab region of Pakistan. Experiments had 2 pollination treatments (open pollination and honeybee inclusion) and 3 seed genotypes, viz. farmer own-saved, market, and the improved variety cultivars. For both growing seasons, honeybee pollination resulted in significant increases in seed yields ranging from 35% to 67%, regardless of seed genotype. With the exception of the number of seed heads/m2, all seed yield parameters also increased significantly in response to honeybee inclusion. The combination of improved variety and honeybee inclusion resulted in the production of a maximum number of seeds per head (45.3), 1,000-seed weight (3.7g), and estimated seed yield (375.5kg/ha). In addition, the increase in estimated net income of seed ranged from PKR 82,485 Rs/ha (US$844/ha) to PKR 168,975 Rs/ha (US$1728/ha) with the use of honeybees as an insect pollinator across all the seed genotypes. Honeybee pollination has broader implications for mixed farming systems by playing a key role in preserving biodiversity and promoting sustainable agriculture. It also enhances the quality and quantity of berseem crops by increasing the production of high-quality seeds and forage leading to improved livestock productivity and family food security which strengthens the economic resilience of rural communities.

How Climate Change Will Shape Pesticide Application in Quebec’s Golf Courses: Insights with Deep Learning Based on Assessing CMIP5 and CMIP6

The accelerating impact of climate change on golf course conditions has led to a significant increase in pesticide dependency, underscoring the importance of innovative management strategies. The shift from Coupled Model Intercomparison Project Phase 5 (CMIP5) to the latest CMIP6 phase has drawn the attention of professionals, including engineers, decision makers, and golf course managers. This study evaluates how climate projections from CMIP6, using Canadian Earth System Models (CanESM2 and CanESM5), impact pesticide application trends on Quebec’s golf courses. Through the comparison of temperature and precipitation projections, it was found that a more substantial decline in precipitation is exhibited by CanESM2 compared to CanESM5, while the latter projects higher temperature increases. A comparison between historical and projected pesticide use revealed that, in most scenarios and projected periods, the projected pesticide use was substantially higher, surpassing past usage levels. Additionally, in comparing the two climate change models, CanESM2 consistently projected higher pesticide use across various scenarios and projected periods, except for RCP2.6, which was 27% lower than SSP1-2.6 in the second projected period (PP2). For all commonly used pesticides, the projected usage levels in every projected period, according to climate change models, surpass historical levels. When comparing the two climate models, CanESM5 consistently forecasted greater pesticide use for fungicides, with a difference ranging from 65% to 222%, and for herbicides, with a difference ranging from 114% to 247%, across all projected periods. In contrast, insecticides, growth regulators, and rodenticides displayed higher AAIR values in CanESM2 during PP1 and PP3, showing a difference of 28% to 35.6%. However, CanESM5 again projected higher values in PP2, with a difference of 1.5% to 14%.

Two-faced Janus: on the 150th anniversary of the discovery of DDT

One of the factors associated with increased morbidity of malignant neoplasms is environmental pollution with cancerogenic compounds including pesticides. Until recently, stable organic pollutant insecticide dichlorodiphenyltrichloroethane (DDT) was the single tool for fighting malaria carriers. Despite vast evidence of its negative effect on human health, DDT is still used in some countries.Aim. To perform a comprehensive analysis of the dynamics of DDT pesticide use and the consequences of its use on the global healthcare as well as to investigate the mechanism of its action on the human body including the endocrine system and cancerogenic effects.The review was composed using the PubMed (2853 publications), Elsevier (3139 publications), eLibrary (784 publications) biomedical literature databases. Full-text articles were retrieved through PubMed Central (PMC), Science Direct, Research Gate, CyberLeninka electronic resources.

Occupational Exposure to Pesticides, Personal Protection, and Willingness to Reduce Chemical Sprayings Among Iranian Greenhouse Farmers

ABSTRACT Objectives The level of greenhouse farmers’ personal protection in pesticide use and the possibility of environmental protection through farmers’ willingness to reduce chemical sprayings were assessed in Khuzestan Province, Iran. Methods A survey of 80 active greenhouse vegetable growers was carried out in 2021 with face-to-face interviews. Willingness to reduce chemical sprayings was examined with the theory of planned behavior (TPB) model. Results Several intoxication symptoms were reported, with the most common symptom of pesticide intoxication being dizziness. Farmers showed unsafe or rather unsafe use of personal protective equipment (PPE) during pesticide handling. The maximum use of PPE pertained to the use of mask, spray clothing, and long-sleeved shirts. On a scale from 1 (= totally disagree) to 5 (= totally agree), the respondents showed negative attitudes towards reducing chemical sprayings (mean = 2.30), rather low levels of subjective norms (mean = 2.67), and rather low levels of perceived behavioral control over reduction of chemical sprayings (mean = 2.76). The TPB variables accounted for 73% of the variance in farmers’ behavioral intention. Overall, farmers’ behavioral intention to reduce chemical sprayings was almost neutral. Conclusion Increasing knowledge of the adverse effects of pesticides on health is necessary to promote safety behavior of farmers in the greenhouse.

Spatial variation in physicochemical water quality parameters associated with Rice farming in the Dakalt Branch Canal, Kafrelsheikh governorate, Egypt

AbstractThe inappropriate use of chemical fertilizers and pesticides in rice farming has been identified as a significant source of pollution in the aquatic environments. The declining water quality has been a cause of concern for the riparian communities owing to ill health associated with the usage of contaminated water from lotic systems draining such rice‐growing areas and its potential to cause lethal and sublethal effects on aquatic organisms. The spatial variation of selected water quality parameters was assessed using multivariate techniques. Data from three sampling stations, collected in triplicates, were analyzed to understand the effects of rice farming practices on the Dakalt Branch Canal's water quality. Eleven physicochemical parameters were measured in situ with a portable multimeter, while nutrients and other chemical parameters were determined following the standard procedures outlined in the American Public Health Association using the UV/Visible spectrophotometer. One‐way ANOVA was used to establish whether or not there were significant differences among means of various parameters. The findings revealed considerable spatial variability in the means for nearly all water quality parameters (p &lt; 0.05). The Water Quality Index revealed that all the sampling stations were polluted with indices of more than 100. We conclude that poor rice management practices are responsible for the observed pollution of the River Nile and potentially lethal and sublethal effects on aquatic organisms and human health. We therefore recommend regular monitoring of the water quality of the Dakalt Branch Canal and that the relevant stakeholders, including farmers, embrace Best Management Practices, especially when applying pesticides and fertilizers.

IoT Based Precision Farming

This project focuses on leveraging drone images of the pests equipped with advanced sensors for pest detection in crops, combined with methods for image processing to identify diseases. The ultimate goal is to enhance crop health and productivity through timely and targeted pesticide application. Image processing techniques are used to detect signs of diseases and pests in the captured images. The use of machine learning CNN algorithm enhances the system’s ability to accurately classify and diagnose crop heath issues. Upon detection of pests, the IOT platform triggers a response mechanism to deploy a precision pesticide spraying system. This ensures targeted and localized treatment, reducing the overall use of pesticides and minimizing environmental impact. This project involves capturing images of pests using a camera, followed by processing these images to extract key features using various image processing techniques. The extracted features are analyzed using algorithms, primarily Convolutional Neural Networks (CNNs), to detect variations in color and other dominant characteristics in the images. By comparing these features across samples, the system can identify pests and plant diseases more efficiently. This approach aims to provide a quicker and more cost-effective solution for pest detection and disease management.