Hi Chiranjit Singha, thanks for your question! In this video, we focused on predicting crop yield using satellite data, specifically the MODIS dataset. While the specific crop name wasn't mentioned in this demonstration, the predicted yield value is typically expressed in metric tons per hectare (t/ha). The actual crop name and its corresponding predicted yield value would depend on the specific analysis conducted and the data available for the region of interest. If you have any further questions or would like more details, feel free to ask!
AOA Sir, I have followed all steps accurately and still facing issues while exporting the image. Can you please share the code of this analysis. It will be really helpful for me to sort out the error.
As part of our academic curriculum, we are required to undertake a project in our final semester. I am particularly interested in working on rice yield prediction using ML will you please share the code
Wa Alaikum Assalam Brother, Yes, it's possible to create a time series chart for NDVI (Normalized Difference Vegetation Index) data. You can use Google Earth Engine to analyze and visualize NDVI trends over time. There are various tutorials and resources available online to help you create NDVI time series charts using Earth Engine. Regarding the authenticity of the results, you can search for research papers on Google Scholar that discuss NDVI trends and analysis using regression techniques. Look for papers published in reputable scientific journals or conferences related to remote sensing, agriculture, or environmental science. These papers often provide detailed methodologies, results, and discussions on NDVI trends, which can help you understand and interpret the results effectively. If you need further assistance or guidance on creating NDVI time series charts or finding relevant research papers, feel free to ask, Here I am pasting one link you can find like that many : www.researchgate.net/profile/Jan-Niklas-Schmid/publication/320708352_Using_Google_Earth_Engine_for_Landsat_NDVI_time_series_analysis_to_indicate_the_present_status_of_forest_stands/links/5d29201b458515c11c2ab18e/Using-Google-Earth-Engine-for-Landsat-NDVI-time-series-analysis-to-indicate-the-present-status-of-forest-stands.pdf
Hello sir ..actuly my thesis topic is crop production and yeild prediction using machine learning, AI,deep learning..will u please sujjest mi regarding this please 🙏
Excellent and useful!
Excellent waiting for another interesting videos
Superbly done.
Excellent tutorial,
EXELELLENT JOB!!!
Thanks for your comment , It keeps me motivated 💗
GOOD JOB
Thanks for your comment , It keeps me motivated
Could you please share the code?
Very nice and informative tutorial. Thank you very much. I really learnt a lot from you🌹
Could you please share the code?
Or can you write down your email ? I have several questions
What is the crop name and the predicted yield value t/ha ?
Hi Chiranjit Singha, thanks for your question! In this video, we focused on predicting crop yield using satellite data, specifically the MODIS dataset. While the specific crop name wasn't mentioned in this demonstration, the predicted yield value is typically expressed in metric tons per hectare (t/ha). The actual crop name and its corresponding predicted yield value would depend on the specific analysis conducted and the data available for the region of interest. If you have any further questions or would like more details, feel free to ask!
AOA Sir, I have followed all steps accurately and still facing issues while exporting the image. Can you please share the code of this analysis. It will be really helpful for me to sort out the error.
sure , you can drop me mail and soon I will paste code links in descriptions
As part of our academic curriculum, we are required to undertake a project in our final semester. I am particularly interested in working on rice yield prediction using ML will you please share the code
sure drop your mail
I have the same thesis sir
@@lovelycharmdesucatan7742 Drop your mail I will share code
If possible can you share code?
Shared over your mail 🙂
@@geographerpakistani thank you
If possible can you share code
Thanks for this tutorial, could you please share the code ?
sure drop your mail
Assalam o Aliakum Brother Can I create time series Chart and can you mention any aunthetic paper from where I can learn the results.
Wa Alaikum Assalam Brother,
Yes, it's possible to create a time series chart for NDVI (Normalized Difference Vegetation Index) data. You can use Google Earth Engine to analyze and visualize NDVI trends over time. There are various tutorials and resources available online to help you create NDVI time series charts using Earth Engine.
Regarding the authenticity of the results, you can search for research papers on Google Scholar that discuss NDVI trends and analysis using regression techniques. Look for papers published in reputable scientific journals or conferences related to remote sensing, agriculture, or environmental science. These papers often provide detailed methodologies, results, and discussions on NDVI trends, which can help you understand and interpret the results effectively.
If you need further assistance or guidance on creating NDVI time series charts or finding relevant research papers, feel free to ask, Here I am pasting one link you can find like that many : www.researchgate.net/profile/Jan-Niklas-Schmid/publication/320708352_Using_Google_Earth_Engine_for_Landsat_NDVI_time_series_analysis_to_indicate_the_present_status_of_forest_stands/links/5d29201b458515c11c2ab18e/Using-Google-Earth-Engine-for-Landsat-NDVI-time-series-analysis-to-indicate-the-present-status-of-forest-stands.pdf
Hello sir ..actuly my thesis topic is crop production and yeild prediction using machine learning, AI,deep learning..will u please sujjest mi regarding this please 🙏
You want this code?
@@geographerpakistani yes sir ..sir what unique i can do with this, using ml,AI, deep learning
@@rajanihiwrale Need to review lot of literature
Yes sir@@geographerpakistani
Could you share your GitHub file link ..
I Don't have GitHub repository but you can mail me for code or drop your mail I will share code
I'm interested in your topic, can I get the code sir?
sure drop your mail
Dataset
Share the code pla
Drop me mail at alihasnainnokia4@gmail.com
Can you share the code with me?
Yes sure drop me mail at alihasnainnokia4@gmail.com
I have sent you a letter. Hope you respond as soon as possible
@@geographerpakistani
@@NguyenThaiSon-zm6vi Shared 💫
Thank you very much. I received both your code and your great information@@geographerpakistani