Role of ICT in Crop Management

Ali, Musaddiq; Mubeen, Muhammad; Hussain, N.; Wajid, Aftab; Farid, Hafiz Umar; Awais, Muhammad; Hussain, Sajjad; Akram, Waseem; Amin, Asad; Akram, Rida; Imran, Muhammad; Ali, Amjed; Nasim, Wajid

doi:10.1007/978-981-32-9783-8_28

Cited by 31 publications

(8 citation statements)

References 7 publications

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“…Khan et al, 2020), features, and objects level image processing and presents a LULC classification using different techniques for change detection (Akhtar et al, 2017;Abdullah et al, 2019;Hussain et al, 2020b). It is noted by previous research, LULC changes have the prospective to have a significant environmental impact changing the urban climate (M. Ali et al, 2019). Different research has also confirmed the environmental effects on LULC changes (Cheema & Bastiaanssen, 2010;Das & Sarkar, 2019;Tan et al, 2020;B.…”

Section: Introductionmentioning

confidence: 99%

Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

Hussain

Karuppannan

2021

Geology, Ecology, and Landscapes

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The aim of this research was to assess the land use/land cover (LULC) changes and its impact on land surface temperature (LST) using remote-sensing (RS) technique in the district Khanewal, Punjab, Pakistan. Data were pre-processed using ERDAS imagine 15 and Arc GIS 10.4 software for layer stacking, mosaicking, and sub-setting of Landsat images. After pre-processing, the supervised classification scheme was applied for the years 1980, 2000, and 2020, which explains the maximum likelihood algorithm to identify LULC changes observed in the study area. "Built-up area" in 1980 occupied 1.75% but in 2020, the build-up area increased (5.27%) compared to 2020. Vegetation area was decreased by 4.12% from 1980 to 2020 in district Khanewal. It was observed that there has been a rapid change in vegetation area to build-up area. The LST values were increased by 0.50°C from 1980 to 2020 due to the increasing build-up area from East to West direction in district Khanewal. Maximum and minimum normalized difference vegetation index (NDVI) values were observed 0.72 and −0.2 for 1980 and 2020. The regression line produced a definitive explanation, showing a strong negative correlation with NDVI and LST. The outcomes of this study indicated that a dramatic transformation took place in district Khanewal regarding a decrease in greenness due to a rapid increase in population density, urban growth, and other infrastructural developments. Thus, these results will be used in regional and urban planning and will be used for managing agriculture in the coming years of rapid environmental changes.

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Section: Introductionmentioning

confidence: 99%

Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

Hussain

Karuppannan

2021

Geology, Ecology, and Landscapes

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“…Accurate anticipation of crop type and yield empowers growers and farmers to make well-informed decisions pertaining to management and financial matters [23]. However, due to the multitude of intricate factors involved, precise agricultural production forecasting remains a challenging endeavor [24]. As outlined in [25], there's a pressing need to establish an objective methodology for preharvest crop forecasting.…”

Section: Resultsmentioning

confidence: 99%

Regional Prediction of Crop Yield Success Rate in the Philippines using Geographic Trend Analysis Algorithm

Francis Alfaro

2024

jes

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Agriculture holds an important role in the economy of the Philippines by ensuring the food security of domestic products. It involves about 40 % of Filipino workers and it contributes an average of 20 percent to the Gross Domestic Product. Crop prediction in the Philippine’s agriculture is a big problem. At the present time, farmers are having a difficult time in choosing the right crops due to unnatural climate changes, soil type, rainfall, and other environmental factors. These can affect the economic life of farmers and can make them less familiar in forecasting future crops. This project aims to guide the farmers for sowing the reasonable crops by using geographic trend analysis algorithm. The findings from this study demonstrate the potential of the Geographic Trend Analysis Algorithm as a powerful tool for regional crop yield prediction. The success rate of each region will always equate to 100% in context with the set optimal yield prediction where the crop with highest percentage appears to be the dominant one. Irrigated palay (rice) demonstrates a greater rate of success across diverse Philippine regions when contrasted with rainfed or non-irrigated palay, as well as white and yellow corn. Additionally, the methodology employed by the researchers sets the groundwork for upcoming investigations in the domain of agricultural data analytics and geographic information science. This paves the way for a data-centered and sustainable strategy toward crop production in the Philippines.

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“…45 Another pediatric epilepsy study revealed positive MRI findings up to more than 50%. 24 46 Amirsalari et al reported abnormal MRI findings in 28.5% of their epileptic children, with brain atrophy, tumors, vascular abnormality, benign cyst, and high signal white matter changes as their findings. 47 Significant proportion of pediatric patient has an abnormal MRI finding relating to developmental brain abnormalities, like leukodystrophy, arachnoid cyst, agenesis of corpus callosum, AVM, cyst (porencephalic) gliosis, tuberculoma, meningitis, and encephalitis in different proportions.…”

Section: Discussionmentioning

confidence: 99%

Structural Brain Lesions in Epilepsy Patients: An Experience from Northeast India

Synmon

Phukan

Singh

et al. 2021

International Journal of Epilepsy

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Objectives The aim of this article is to study the various structural causes and role of magnetic resonance imaging (MRI) in epilepsy patients. Materials and Methods A 4-year retrospective cross-sectional study was conducted in Northeast India. The MRI brain findings of epilepsy patient were collected and analyzed for the years 2017 to 2020. Result A total of 630 patients of epilepsy underwent MRI brain with normal findings noted in 280 patients (44.4%). The other groups of 350 epilepsy patients (55.5%) had abnormal MRI brain findings and were included in the study with a minimum age of 2-month old and a maximum of 80 years. The most common abnormal MRI finding belongs to the infectious group (33.7%), with neurocysticercosis being the most common infectious etiology (p-value < 0.001). Gliosis was seen in 57 patients (16.3%), mostly in the middle-aged group. Vascular etiology was seen in 44 patients (12.6%), mostly in the middle-aged group. Features of hypoxic brain injury was seen in 26 patients (7.4%), mostly among patients of <18 years age. Mesial temporal lobe epilepsy was seen in 45 patients (12.9%), mostly seen in the adolescent. Neuronal migration defect was seen in 23 patients (6.5%), mostly among adolescent and young adults. Other abnormal MRI findings were tumor in 8 patients (2.3%), diffuse gyral swelling in 11 patients (3.1%), Rasmussen encephalitis in 4 patients (1.1%), neurocutaneous syndrome in 4 patients (1.1%), radiation necrosis and cyst in 1 patient each, Dyke-Davidoff-Masson syndrome in 3 patients, moyamoya disease in 1 patient, posterior reversible encephalopathy syndrome in 2 patients, and vasculitis in 4 patients. Conclusion MRI brain is the key investigation to identify the epileptic focus in epilepsy patients helping in their further treatment and prognosis.

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Role of ICT in Crop Management

Cited by 31 publications

References 7 publications

Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

Regional Prediction of Crop Yield Success Rate in the Philippines using Geographic Trend Analysis Algorithm

Structural Brain Lesions in Epilepsy Patients: An Experience from Northeast India

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