A Study of the Impacts of Air Pollution on the Agricultural Community and Yield Crops (Indian Context)

Pandya, Sharnil; Gadekallu, Thippa Reddy; Maddikunta, Praveen Kumar Reddy; Sharma, Rohit

doi:10.3390/su142013098

Cited by 27 publications

(10 citation statements)

References 78 publications

(80 reference statements)

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“…The experiment started with the aims of comparing and analyzing the growth responses, root analysis [39], and shoot analysis, and the results were confirmed by comparing them with the results obtained from the simulator. The initial phase was cleaning and soaking the barley seeds overnight and then sowing the seeds in the substrate and DWC hydroponic setup separately [40,41]. The DWC setup was monitored using the green IoT, which helped in ensuring environmental sustainability by keeping a check on carbon and other greenhouse emissions.…”

Section: Methodsmentioning

confidence: 99%

Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop Simulator

et al. 2023

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Vertical farming methods are gaining importance in the current era of urbanization and industrialization 5.0. These methods of farming enhance sustainability by consuming less space and reducing carbon emissions and greenhouse gas emissions. The Green Internet of Things (G-IoT) offers greater environmental sustainability by switching to a dormant mode while not in use, thereby consuming less energy. Each farming method has a different effect on the shoot and root growth of the plants. Thus, dedicated farming methods must be identified for each crop according to the type of crop under consideration. This leads to a need to compare and analyze the root as well as shoot growth trends of crops in different cultivation mediums, using different cultivation methods, thereby identifying the most suitable method for the cultivation of the crop. A comparative analysis of barley shoot and root growth in green IoT-embedded hydroponics and substrate cultivation methods has shown that hydroponics exhibits two times more shoot growth than substrate cultivation. Furthermore, the results were verified against the results obtained from the simulator, which confirmed that the hydroponic method of cultivation produced a year-round qualitative product with 17.112 tons of biomass and 8.556 tons of dry yield.

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Section: Methodsmentioning

confidence: 99%

Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop Simulator

et al. 2023

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“…A large volume of data generated by various monitoring methods, such as satellites, drones, and sensors, specifically managing and analyzing the data generated efficiently carries a significant challenge for farmers, and demands advanced data processing and interpretation skills [99]. Deploying monitoring technologies, such as satellite imagery and precision agriculture tools, can be expensive [100]. The lack of the necessary infrastructure and reliable connectivity for seamless data transmission is a big challenge.…”

Section: B Crop Monitoringmentioning

confidence: 99%

Remote Sensing for Agriculture in the Era of Industry 5.0—A Survey

Victor,

Maddikunta,

Mary

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Agriculture can be regarded as the backbone of human civilization. As technology evolved, the synergy between agriculture and remote sensing has brought about a paradigm shift, thereby entirely revolutionizing the traditional agricultural practices. Nevertheless, the adoption of remote sensing technologies in agriculture face various challenges in terms of limited spatial and temporal coverage, high cloud cover, low data quality and so on. Industry 5.0 marks a new era in the industrial revolution, where humans and machines collaborate closely, leveraging their distinct capabilities, thereby enhancing the decision making capabilities, sustainability and resilience. This paper provides a comprehensive survey on remote sensing technologies and related aspects in dealing with the various agricultural practices in the Industry 5.0 (I5.0) era. We also elaborately discuss the various applications pertaining to I5.0enabled remote sensing for agriculture. Finally, we discuss several challenges and issues related to the integration of I5.0 technologies in agricultural remote sensing. This comprehensive survey on remote sensing for agriculture in Industry 5.0 era offers valuable insights into the current state, challenges, and potential advancements in the integration of remote sensing technologies and Industry 5.0 principles in agriculture, thus paving the way for future research, development, and implementation strategies in this domain.

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“…Artifcial intelligence-based approaches have recently been widely used in various industries [4]. For example, literature [5] applied data mining techniques for studying weather forecasting and climate change, and literature [6] studied the impact of air pollution on agricultural communities and crop yields. Literature [7] proposed particle swarm optimization and nondominated ranking techniques for breast cancer prediction.…”

Section: Introductionmentioning

confidence: 99%

Air Target Threat Assessment: A Kernel Extreme Learning Machine Based on a Multistrategy Improved Sparrow Search Algorithm

Song

Liu

Xue

et al. 2023

Mathematical Problems in Engineering

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Air strikes are among the main means of attack in modern warfare. To improve air defense capabilities and aid military decision-making, threat assessment models have been introduced. As the parameters of the kernel extreme learning machine (KELM) model need to be set individually, this study proposes a parameter learning strategy based on a multistrategy improved sparrow search algorithm (MISSA). First, a reasonable threat assessment model was established based on the capability and situation factors of air targets. Second, the sparrow search algorithm was improved in terms of population position initialization and position update strategy, incorporating tent chaos reverse learning, nonlinear inertia weights, a global search strategy, and adaptive t-distribution. The effectiveness of the MISSA strategy was verified using nine common benchmark functions. The results show that the proposed MISSA finds an effective balance between global and local searches. Moreover, when the MISSA is applied to solve the tuning problem of KELM, the values of mean absolute percentage error, mean square error, root mean square error, and mean absolute error for MISSA–KELM in the air target threat assessment problem are 2.013 × 10−2, 1.282 × 10−4, 1.132 × 10−2, and 8.316 × 10−3, respectively, all of which are higher than that of the other metaheuristic algorithms (e.g., ACWOA-KELM and HGWO-KELM). Therefore, the method proposed in this study can be used as a parameter-tuning tool for KELM, enabling KELM to perform better in practical applications.

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A Study of the Impacts of Air Pollution on the Agricultural Community and Yield Crops (Indian Context)

Cited by 27 publications

References 78 publications

Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop Simulator

Monitoring Root and Shoot Characteristics for the Sustainable Growth of Barley Using an IoT-Enabled Hydroponic System and AquaCrop Simulator

Remote Sensing for Agriculture in the Era of Industry 5.0—A Survey

Air Target Threat Assessment: A Kernel Extreme Learning Machine Based on a Multistrategy Improved Sparrow Search Algorithm

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