Time is flying out

-

 Time is running out so quickly. It is spending speedily. Morning and night are altering their positions in some hours. These hours are becoming years. These years have changed a lot of things in this world. A lot of work is still pending. It is so difficult to manage time. Some troubles are still in same positions as it was earlier which makes life stuck. This burgons depression but no woo is available except to handover completely  to creator.

Our creator knows everythings about us. All circumstances are front of him. If we can trust on someone and entrust our some work to him which makes us lighten in our some burdens, then why can't we do trust on our creator. We can give our tensions and worries to him who will handle it in exact time or day which our creator chooses to solve. Before time we can not get rid from our worries so be relax and have faith on him. Trust is easy but people around us highten up in our worries which sometime makes cause of heart problems or effect to health and some time shakes our faith on our creator. 

Oh Allah please increase our faith and believe on you so that we can ignore all worries and can do trust on your all words mentioned in Quran.

Believe on words of Quran can make us brave to tolerate patiently all struggles which is written for everyman in this world from his birth to death. 



Comments

Post a Comment

Please do not enter any spam link in comment box.

Popular posts from this blog

Machine Learning Algorithms in Agriculture Insurance

-
Machine learning has emerged as a valuable tool in the field of agriculture insurance, offering numerous applications to enhance risk assessment, improve productivity, and streamline processes. Here are some key areas where machine learning is being utilized in agriculture insurance:   Risk Assessment: Machine learning algorithms can analyze historical data on weather patterns, soil conditions, and crop performance to assess the risk associated with insuring agricultural operations. By identifying patterns and correlations in the data, these algorithms can estimate the likelihood of crop failures, diseases, pests, and other risks, helping insurers determine appropriate coverage and premiums.   Crop Yield Predictions: Machine learning models can utilize satellite imagery, weather data, soil information, and historical crop yield data to predict crop yields accurately. These predictions can assist insurers in setting coverage levels and pricing premiums based on expected production
Read more

IoT Timeline in Morocco and Insurance Sector

-
Image
  The use of IoT technology in Morocco is still in its early stages, but there have been some notable developments in recent years:   2017: The Moroccan government launched a national plan to develop IoT technology and promote its use in various sectors, including agriculture, industry, and smart cities.   2018: The Moroccan startup scene began to embrace IoT, with companies such as DataCare and Nectarin developing IoT-based solutions for healthcare and agriculture, respectively.   2019: In partnership with the French company Sigfox, the Moroccan telecom operator Inwi launched an IoT network covering more than 80% of the population, making it one of the largest IoT networks in Africa.   2020: The Moroccan government continued to invest in IoT technology, launching initiatives such as the "Smart Agri" program, which aims to use IoT to improve agricultural productivity and sustainability.   Overall, while IoT adoption in Morocco is still relatively low compa
Read more

Machine learning models in Pakistan agricultural data

-
Machine learning model can be applied on agriculture data to facilitate farmers in increasing the productivity. Pakistan is an agricultural country which has major portion in GDP. There is huge gap in this sector which can be fulfilled by adopting technology. Machine learning model can be applied on agriculture relating data to predict the disease or health of crops and to predict the climate change and to examine the impacts of other factors. This model can automate the processing of agriculture productivity. This model will also help the insurance sector to facilitate the farmers timely in case of tragedy or calmity. We need to train our youth in machine learning roles to increase the share of agriculture sector in GDP and economy.
Read more