Remedial Action Research Articles

Anthropogenic determination and risk assessment of total petroleum hydrocarbons of ground water within Orji auto repair workshops, Owerri, Imo State, Nigeria.

The research determined the anthropogenic source and risk evaluation of total petroleum hydrocarbons of some ground water sources within Orji auto repair workshops, Owerri, Imo State, Nigeria. The concentrations of total petroleum hydrocarbons in different groundwater samples within this vicinity were determined by selecting samples from five sampling locations using the liquid-liquid extraction process and gas chromatography fitted with a flame ionization detector. The concentrations of TPHs were determined with C15 (Pentadecane) and C30 (Triaconate) having the highest total concentrations in all sample locations of 29.67μg/mL and 23.17 μg/mL respectively while C13 (Tridecane) had the lowest combined concentration of 0.13 μg/mL with the presence of both low molecular weight and high molecular weight TPHs, an indication that the water samples had significant levels of carcinogens. Diagnostic ratio and correlation analyses of the samples analyzed showed contamination of the groundwater sources were both of petrogenic and pyrogenic sources. TPHs concentrations found in this study also revealed considerable amount of pollution with respect to contamination factors, pollution load index and degree of contamination. Elevated hazard index was equally observed for adults and children indicating a potential harm to the health of children and adults suggesting a higher risk of cancer from interaction with the polluted water. These results indicate that in remediation actions needs to be carried out before consumption to avoid fatal long term heath consequences.

Retrofitting a poorly designed system into a full performing nitrogen‐removal activated sludge process—a scientific challenge

AbstractBACKGROUNDThis study intended to detect the inherent deficiencies of prescription‐type empirical design procedures often adopted for nitrogen ‐removal activated sludge systems. Principles of process stoichiometry and kinetics were used to identify a series of hotspots that were likely to impair and disrupt system performance and efficiency. Available data, derived from an existing plant subject to a similar design approach, were utilized to numerically assess significant hotspots and to define a sustainable remedial action in compliance with applicable scientific principles.RESULTSCritical appraisal of the implemented design exposed a large spectrum of deficiencies affecting system efficiency and performance, including nitrification efficiency, denitrification potential, anoxic volume and sludge age, internal recycling and nitrate removal. The major role of the inorganic suspended solids as a design parameter was also ignored. The remedial strategy adopted for retrofitting corrected all the observed discrepancies and it devised a sustainable approach of flipping around the existing reactors so that they could be operated as a series of carousel/fast recycle reactors, each including anoxic and aerobic volume fractions to provide full nitrification.CONCLUSIONThe merit of the proposed remedial strategy was justified by offering two additional options of equally effective system operation with either reduced reactor volume or increased sewage flow. The study presented conclusive evidence to show why prescription‐type design should be avoided, providing numerical proof that this methodology is incompatible with stoichiometric and kinetic characteristics of sewage under local conditions. © 2024 Society of Chemical Industry (SCI).

Indigenous engagement challenges and carbon mitigation activities in Malaysian forest policy

Malaysia’s commitment to achieving net-zero emissions by 2050 hinges on its ability to protect its abundant carbon sinks, notably its natural forests. However, several challenges impede effective forest protection, including the undervaluation of forested land, the absence of regulatory safeguards against land use changes, and the insufficient protection of land rights of indigenous communities. This paper examines these challenges and their implications for Malaysia’s net-zero emissions goal. It argues that remedial action is necessary, including the development of carbon credit mechanisms that recognize indigenous communities as integral stakeholders and the implementation of regulatory reforms to address the undervaluation of forested land and to strengthen the protection of land rights of indigenous communities.

Remedial, institutional or radical? Explaining community responses to violence against women in an NGO programme to prevent violence in Mumbai, India

Despite ambitions in development and global health policy to transform communities into supportive environments for women facing risks of violence, our understanding of how to best engage communities remains incomplete. In particular, there is little evidence on the types of strategies that communities employ to address violence against women (VAW). We aimed to describe and analyse the processes involved in community responses to incidents of VAW in a non-governmental organisation (NGO) violence prevention programme in Mumbai, India. We conducted a grounded theory study involving 30 focus group discussions and 36 semi-structured interviews with 113 community members and 9 NGO staff, as well as over 170 h of field observation. Informed by comparative case study methods, we compared community actions across six informal settlement neighbourhoods. We found considerable variation in the type of action taken across neighbourhoods. This variation was not arbitrary, but reflected systematic cost-benefit considerations in heterogeneous environments, accounting for factors such as trust in neighbours, violent (armed or gang-related) crime, and corruption in state institutions. We found that institutional action was only favoured in neighbourhoods with strong state capacity and high social capital, whilst remedial action—resolving violence through ‘private’ talks in the family and community—and radical action involving extra-judicial violence—became favourable under conditions of weak social capital or low state capacity. Institutional action was, however, sometimes as violent as radical action, as police were reported, sometimes even relied upon, by residents to use force against perpetrators of VAW. We argue that these contextual features oblige policymakers and prevention researchers to grapple with contentious issues such as the legitimate use of force by the state. We caution against maximising community action without a clear vision of the type of action hoped for.

Learning model combining convolutional deep neural network with a self-attention mechanism for AC optimal power flow

Alternating current optimal power flow (OPF) analysis is critical for efficient and reliable operation of power systems. For large systems or repetitive computations, the traditional methods such as the direct and gradient methods, or non-traditional methods, such as the genetic algorithm and simulating annealing, are time-consuming and unsuitable for real-time computing. The work in this paper proposes a novel framework to obtain the optimal solution of power flow in real-time using a combination of convolutional neural networks and a self-attention mechanism. All parameters of the power networks are rearranged in an image-like shape of a multi-channel image where each channel is a two-dimensional matrix. The proposed approach is adaptive with every input size of power systems as well as frequent variations of network topologies without intervention to the framework core. The encompassment of all power system contexts in which all parameters of internal elements, generation costs, and topology information are included, contributes to the higher accuracy of inference compared to other current machine-learning-based OPF-solving methods. Besides, the proposed framework established on ubiquitous platforms is effortlessly integrated into current infrastructures of power systems, and the great efficiency along with the computation speed may serve as a critical point for practical implications, such as enabling faster decision-making during real-time operations, predicting system contingencies, and remedial actions based on an offline pre-trained model. This supervised learning process is applied to the dataset of four case studies of meshed power systems: the IEEE 5-bus system (IEEE-5), the IEEE 30-bus system (IEEE-30), the IEEE 39-bus system (IEEE-39), and the IEEE 57-bus system (IEEE-57) to prove the efficacy of the proposed method.

Global perspectives on operational excellence: unveiling critical failure factors and sustainable pathways

PurposeThe purpose of this global study is to investigate the critical failure factors (CFFs) in the deployment of operational excellence (OPEX) programs as well as the key performance indicators (KPIs) that can be used to measure OPEX failures. The study also empirically analyzes various OPEX methodologies adopted by various organizations at a global level.Design/methodology/approachThis global study utilized an online survey to collect data. The questionnaire was sent to 800 senior managers, resulting in 249 useful responses.FindingsThe study results suggest that Six Sigma is the most widely utilized across the OPEX methodologies, followed by Lean Six Sigma and Lean. Agile manufacturing is the least utilized OPEX methodology. The top four CFFs were poor project selection and prioritization, poor leadership, a lack of proper communication and resistance to change issues.Research limitations/implicationsThis study extends the current body of knowledge on OPEX by first delineating the CFFs for OPEX and identifying the differing effects of these CFFs across various organizational settings. Senior managers and OPEX professionals can use the findings to take remedial actions and improve the sustainability of OPEX initiatives in their respective organizations.Originality/valueThis study uniquely identifies critical factors leading to OPEX initiative failures, providing practical insights for industry professionals and academia and fostering a deeper understanding of potential pitfalls. The research highlights a distinctive focus on social and environmental performance metrics, urging a paradigm shift for sustained OPEX success and differentiating itself in addressing broader sustainability concerns. By recognizing the interconnectedness of 12 CFFs, the study offers a pioneering foundation for future research and the development of a comprehensive management theory on OPEX failures.

Leveraging Remote Sensing and Nanotechnology to Overcome Barriers to Agroforestry Adoption by Small Holder Farmers

Agroforestry systems that strategically combine trees and/or shrubs with crops provide ecological and economic benefits. However, barriers including lack of quality tree germplasm, limited access to input and output markets, land tenure insecurity, and inadequate technical knowledge restrict widespread adoption of agroforestry among smallholder farmers. Advances in remote sensing and nanotechnology can help overcome these barriers. Remote sensing through high resolution satellite imagery, light detection and ranging (LiDAR), and aerial photography can map landscapes and provide geospatial information to facilitate agroforestry planning and optimization at farm scales. Nanotechnology involves manipulating matter at nanometer scales and has emerging applications in agriculture. Nanobased tools are emerging for targeted seed and agrichemical delivery, enhanced plant protection, soil remediation, and real-time field-level monitoring. The convergence of nanotechnology with information technology and biotechnology presents new opportunities to enhance agroforestry value chains to benefit smallholders. For example, nanobiosensors integrated with mobile platforms can monitor tree health and translate alerts to remedial actions and services customized to small farm contexts. In spite of significant potential, the use of remote sensing and nanotechnology in agroforestry remains limited and targeted capacity building is needed to promote wider adoption of these innovations in smallholder systems to make agroforestry a viable climate-smart approach to sustaining rural livelihoods.

DEVELOPMENT OF A VALUB ENGINEERING MANAGEMENTSYSTEM FOR CONSTRUCTIONPROJECTS IN IRAQ

The escalating cost of construction projects combined with the competitive nature of the constructionindustry requires the constant search for methods to increase the efficiency of such projects throughthe elimination of unnecessary costs while maintaining as well as improving levels of quality andperformance desired.Value Engineering (VE) offers an opportunity to achieve these goals, however, VE utilization by theconstruction industry in Iraq remains limited as hypothesized by the researchers. Hence, the reasonsfor this condition are worthy of investigation .Based on that, this research work has attempted toexamine the current status of implementation of value engineering methodology 'within the Iraqiconstruction industries, well as pinpointing areas of weakness in applying VE,The validity of the research hypothesis was tested by carrying out both an open and closedquestionnaires, where a sample of Iraqi professional engineers -working in both the public and privatesectors have participated in responding to the questionnaires. Analysis of responses to thequestionnaires has indicated the validity of the research hypothesis as well as identifying significantslips, which hinder the proper application of VE by the Iraqi construction industry. The researchershas proposed certain remedial actions to overcome these slips which have initiated the second majorobjective of the research work which entails the proposal of a "Value Engineering ManagementSystem" (VEMS) to facilitate the systematic application of VE methodology and techniques by theIraqi engineers.The evaluation process of the s)'stem by a number of experts has demonstrated approval andpossibility pf application in the field.

Early detection of steel tube welded joint failure using SPC-I nonlinear ultrasonic technique

Welding is a commonly used method for joining two or more parts together in steel construction. Various defects in weld regions such as cracks, pores, and slag inclusion can be present from the beginning, generated during the welding process, or can be developed while in service. Such defects are the weak spots that degrade the structure’s quality and can lead to structural failures. Therefore, early detection of these defects in welded joints, before visible cracks appear, is very important. Using appropriate ultrasonic non-destructive testing and evaluation (NDT&E) techniques, one can detect these defects and take remedial actions to prevent catastrophic structural failures. Guided acoustic wave-based techniques have been proven to be effective for damage detection in steel pipes and rods. Several studies have previously attempted to detect damage in steel tubes using guided ultrasonic waves. Unlike earlier attempts which mostly focused on conventional linear ultrasonic techniques, a relatively new nonlinear ultrasonic technique called sideband peak count-index (SPC-I) is carried out in this research. For this investigation, cast steel components and round hollow structural sections are welded together, and a four-point bending test is conducted under fatigue loading. The welded joints are continuously monitored in real time using strain gages and lead zirconate titanate (PZT) transducers. The PZT transducers are used to generate and receive guided acoustic waves. The signal is propagated through the specimen in a single-sided transmission mode setup. The strain gage readings and the nonlinear ultrasonic parameter, the SPC-I values, are monitored simultaneously. The results obtained from the nonlinear ultrasonic NDT&E measurements are compared with the data obtained from the strain gages to determine the robustness and reliability of the SPC-I technique for monitoring welded joints. This investigation also shows the potential effectiveness of the nonlinear ultrasonic parameter SPC-I for early detection of weld failure.

The Role of Procedure Duration in the Sustainability Assessment of Contaminated Site Management in Italy

The European Union (EU) has placed a strong focus on soil contamination and remediation in its Thematic Strategy for Soil Protection, emphasizing the critical need for comprehensive soil data at the EU level. To effectively support EU soil management strategies, it is necessary to develop soil-related indicators and standardized datasets across all EU member states. However, the lack of standardized methodologies for estimating the time required for contaminated site remediation is a dilemma in Italy and throughout Europe. This study examines statistical data on the time-consuming nature of the contaminated site remediation process in Italy. In fact, early intervention not only simplifies site remediation but also reduces long-term financial obligations such as monitoring costs and potential legal implications. This study categorized data according to remedial procedures, explored different management phases, and revealed different timescales for completing the procedure. The findings show that processes completed after preliminary investigations are often shorter in time than those completed following conceptual model assessments. In contrast, processes that require corrective measures typically take a longer period of time to complete. Notably, remedial interventions tend to have a shorter duration compared to risk management interventions. Furthermore, procedures that address both soil and groundwater contamination generally require more time compared to those that focus only on soil remediation. This study provides valuable insight into the time-consuming aspects of remediation procedures, recommending potential changes to regulatory frameworks to accelerate site remediation activities.

Impact of the Israeli military activities on the environment

ABSTRACT Many conflicts in Western Asia over the past 75 years left devastation and refugees and the last war on the Gaza Strip is a good example. Our interests as environmentalists are the effects of conflict (including active conflict, pre-conflict activities, and post-conflict impact). Here, we review the impacts on the Palestinian environment of activities since 1948 (establishment of the state of Israel): pre-conflict (such as training sites, military bases, military installation), during conflicts (use of different munitions, pollution, altering habitats), and post-conflicts (unexploded munitions, ground water pollution, devastated landscape). The data show significant environmental damage that operates short-term and long-term. More more studies are needed and encouraged, but the data do suggest that environment and human health impacts need to be highlighted in public discourse and remedial actions must be taken in protracted conflict situations like the Palestine/Israel conflict.

Diagnosis of the Condition of Aquatic Ecosystems Using a Partial Assessment of Ecological and Trophic States: An Example of Small Lakes in Northern Poland

The current state of aquatic ecosystems was assessed for lakes in two river–lake systems: Święta Struga (Święte and Ocypelek) and Kałębnica (Czarne Południowe and Kałębie). Trophic states were determined using the Vollenweider, Nürnberg, and Carlson methods. Additionally, shoreline changes were analyzed for all lakes concerning their natural character, and physicochemical parameters were utilized as auxiliary elements in the assessment of the ecological state following the guidelines of Directive 2000/60/EC. Supplementary to these methods, the ecological evaluation of the littoral zone utilized meiobenthic organism grouping as an indicator. The results indicate significant differences among the studied reservoirs. Lake Święte is a reservoir bordering mesotrophy and eutrophy, with the ecological state of the littoral zone showing ongoing trophic development. Lake Ocypelek exemplifies a eutrophic reservoir undergoing progressive degradation. The lakes in the Kałębnica system also exhibit advanced trophic conditions, with Lake Kałębie being a eutrophic reservoir. Its shoreline has been significantly altered due to the development of the direct catchment area. In contrast, Lake Czarne Południowe serves as an example of a mesotrophic reservoir, with a substantially changed shoreline. Considering physicochemical elements and chlorophyll a concentration, the water quality for all examined lakes was found to be below the good category. The diagnosis of the condition of lake aquatic ecosystems requires an individualized approach to each of them. Therefore, employing various methods for their assessment, encompassing physico-chemical, biological, and morphological parameters, provides the opportunity to initiate potential remedial actions that will effectively contribute to their improvement. Conducting low-cost research involving a multidisciplinary approach to diagnose the state of aquatic ecosystems is becoming a crucial element in lake monitoring.

Global prevalence of potentially pathogenic free-living amoebae in sewage and sewage-related environments-systematic review with meta-analysis.

Free-living amoebae (FLA) include amphizoic microorganisms important in public health, widely isolated from air, water, and soil. However, its occurrence in sewage-related environments still needs to be systematically documented. This study summarizes the occurrence of FLA in sewage-related environments through a systematic review with meta-analysis. A total of 1983 scientific article were retrieved from different databases, of which 35 were selected and analyzed using a random effects forest plot model with a 95% confidence interval (IC). The pooled overall prevalence of FLA in sewage across 12 countries was 68.96% (95% IC = 58.5-79.42). Subgroup analysis indicates high prevalence in all environments analyzed, including sewage water from the sewage treatment plant (81.19%), treated sewage water (75.57%), sewage-contaminated water (67.70%), sediment contaminated by sewage (48.91%), and sewage water (47.84%). Prevalence values of Acanthamoeba spp., Hartmanella/Vermamoeba spp., and Naegleria spp. are 47.48%, 28.24%, and 16.69%, respectively. Analyzing the species level, the distribution is as follows: Acanthamoeba palestinensis (88%), A. castellanii (23.74%), A. astronyxis (19.18%), A. polyphaga (13.59%), A. culbertsoni (12.5%), A. stevensoni (8.33%), A. tubiashi (4.35%) and A. hatchetti (1.1%), Naegleria fowleri (28.4%), N. gruberi (25%), N. clarki (8.33%), N. australiensis (4.89%) and N. italica (4.29%), Hartmannella/Vermamoeba exundans (40%) and H.V. vermiform (32.61%). Overall, our findings indicate a high risk associated with sewage-related environments, as the prevalence of FLA, including pathogenic strains, is high, even in treated sewage water. The findings of this study may be valuable both for risk remediation actions against amoebic infections and for future research endeavors.

A Remedial Action Scheme To Mitigate Market Power Caused by Cyberattacks Targeting a Smart Distribution System

A Remedial Action Scheme To Mitigate Market Power Caused by Cyberattacks Targeting a Smart Distribution System

COMPARING THE WATER QUALITY OF STREAMS FEEDING A WATERSHED

The Ala Wai Canal is one of the main waterways and watersheds on the island of Oʻahu, but it does not meet EPA water quality standards. Despite being deemed unsafe, during paddling season a number of adult and teenage paddling crews practice in the Ala Wai for a variety of reasons. In recent years, more discussion and focus has been turned to improving the water quality of the Ala Wai Canal. By doing a water quality study on two tributaries that feed into the Ala Wai watershed, the research group hoped to determine if there was a statistically significant difference between the mean water quality of the two streams. By measuring 952 samples in Pūkele Stream and 889 samples in Makiki Stream taken every fortnight over a 14-year period, the representative suspended solids entering from the eastern and western sides of Ala Wai Canal are compared statistically. Thus, a good general picture of the average difference in water quality between the tributaries is obtained. Through this sample study, it was found that there is a statistically significant difference between the average water quality of the two streams. This finding implies that there is a big enough difference between the suspended solids in the two streams to prioritize the Pūkele Stream over Makiki Stream for remedial actions.

Difficulties of Reading in French Subject Among Morrocan Middle School Students: Case of Learners in First Year of the Secondary School

As part of the French language teaching staff in the secondary school, we have observed during our French reading activities in the classroom that some of our learners face difficulties in the area of reading, specifically in decoding words, phrases, and texts. These difficulties, which poses a real challenge for us as French teachers and for learners struggling with reading, has led us to write this paper where we aim to analyze the reading errors of these learners by identifying, describing, and explaining their origins. The results of our analysis can serve as a basis for planning remedial activities and developing palliative strategies for teachers and inspectors. The ultimate goal is to support and assist the learners in overcoming the difficulties they encounter in learning this foreign language.

Hydraulic containment of TCE contaminated groundwater using pulsed pump-and-treat: Performance evaluation and vapor intrusion risk assessment

Remedial actions for groundwater contamination such as containment, in-situ remediation, and pump-and-treat have been developed. This study investigates the hydraulic containment of Trichloroethylene (TCE) contaminated groundwater by using pulsed pump-and-treat technology. The hypothetical research site assumed the operation of pulsed pump-and-treat to manage groundwater contaminated with 0.1 mg/L of TCE. at the pump-and-treat facility. Numerical models, employing MODFLOW and MT3DMS for groundwater flow and contamination simulations, were used for case studies to evaluate the performance and risks of pump-and-treat operation strategies. Evaluation criteria included capture width, removal efficiency, and contaminant leakage. Health risks from TCE leakage were assessed using a vapor intrusion risk assessment tool in adjacent areas. In the facility-scale case study, the capture width of the pump-and-treat was controlled by pumping/injection well operations, including schedules and rates. Pumping/injection well configurations impacted facility efficiencies. Pulsed operation led to TCE leakage downstream. Site-scale case studies simulated contaminant transport through pump-and-treat considering various operation stages (continuous; pulsed), as well as various reactions of TCE in subsurface environment (non-reactive; sorption; sorption and biodegradation). Assuming non-reactive tracer, TCE in groundwater was effectively blocked during continuous operation stage but released downstream in the following pulsed operation stage. Considering chemical reactions, the influences of the pump-and-treat operation followed similar trends of the non-reactive tracer but occurred at delayed times. Groundwater contamination levels were reduced through biodegradation. Cancer and non-cancer risks could occur at points of exposure (POEs) where the contamination levels approached or fell below TCE groundwater standards.

Voltage angle‐based coherency identification in power system

AbstractCoherency detection in power system is vital step for controlled‐islanding. Model‐based slow‐coherency method is the traditional method of detecting coherent areas, which suffers from computational burdens. With the implementation of a wide‐area measurement system (WAMS) in power systems, coherent areas can be detected early after a disturbance that helps to ensure quick separation or remedial action. In this study, a novel Synchrophasor‐based coherency identification method has been proposed with bus voltage angle measurement. A new algorithm is proposed based on the first and second derivatives of the bus voltage phase angle using hierarchical clustering method for coherency detection. The proposed approach leverages hierarchical clustering method and the dynamics reflected in the bus voltage phase angle behavior to achieve automatic and accurate coherency identification. Real time simulation results demonstrate the ability of the proposed algorithm to detect the coherency with three consecutive PMU data from all the system buses and showcase coherent area boundaries. Case studies show robustness of the proposed method and is least affected by the latency in communication network compared to conventional methods. The proposed algorithm has been mathematically formulated and evaluated with different benchmark systems in OPAL‐RT real‐time simulation environment with HYPERSIM platform.

Nearshore fish community changes along the Toronto waterfront in accordance with management and restoration goals: Insights from two decades of monitoring.

Aquatic habitat in the Greater Toronto Area has been subject to anthropogenic stressors. The subsequent aquatic habitat degradation that followed led to the Toronto and Region waterfront being listed as an Area of Concern in 1987. Thus, extensive shoreline and riparian habitat restoration have been implemented as part of the Toronto and Region Remedial Action Plan in conjunction with local stakeholders, ministries, and NGOs in an overall effort to increase fish, bird, and wildlife habitat. A key aspect of current fish habitat restoration efforts, monitored by Toronto and Region Conservation Authority, is to account for long-term community changes within the target ecosystem to better understand overall changes at a larger spatial scale. Here we use electrofishing data from the past 20 years with over 100,000 records and across 72km of coastline to show how declines and fluctuations in fish biomass and catch along the waterfront are driven by a few individual species across three main ecotypes, such as coastal wetlands, embayments, and open coast sites, with the remaining species showing a high level of stability. Using community traits and composition for resident species we demonstrate native warmwater species have become more dominant along the waterfront in recent years, suggesting that restoration efforts are functioning as intended. Additionally, piscivore and specialist species have increased in their relative biomass contribution, approaching existing restoration targets. Altogether this waterfront-wide evaluation allows us to detect overall changes along the waterfront and can be beneficial to understand community changes at an ecosystem level when implementing and monitoring restoration projects.

Automated weather forecasting and field monitoring using GRU-CNN model along with IoT to support precision agriculture

India's agricultural sector is dwindling, which has an impact on ecosystem output. Smart farming increases crop productivity by reducing waste and making effective use of fertiliser. Various Machine Learning techniques together with IoT enabled are developed for precision agriculture. However, the existing techniques face difficulties in forecasting weather and predicting disease accurately. In this work, a system is developed to automate weather forecasting and field monitoring using sensors. Wireless transmission is used to transfer sensor data to a web server database. In the first step, the collected data is pre-processed using normalization and mean based missing value imputation to convert the raw data into meaningful data. Pre-processed data is then fed into Gated Recurrent Unit (GRU) for forecasting the weather condition. In the second step, crop images acquired from sensors for disease prediction are pre-processed using Adaptive Gaussian Filter for noise removal and Dynamic Histogram Equalization for contrast enhancement of image. Pre-processed images are then fed into ResNet50 for feature extraction and classification. Using these predicted data, in case of any horrible weather conditions and soil conditions, remedial action will be automatically taken by the systems. On the other hand, regarding the information about horrible conditions and in presence of pests and diseases, an alert message will be sent to the farmers. The proposed method is tested with several metrics which attain better performance like 94% accuracy for weather forecasting and 98% accuracy for field monitoring. Thus the proposed IoT and deep learning based model can support farmers to achieve a high quantity of crop production in lesser time.