Crop Yield Prediction based on Indian Agriculture using Machine Learning (Python) 2022 - 2023
39.2 هزار بار بازدید -
3 سال پیش
-
hi,for complete project contact us
hi,
for complete project contact us at 8088605682(100% guaranteed response)(includes watsapp)
or visit : http://www.smartaitechnologies.com/
to see complete project demo click next link : Crop Yield Prediction ,crop recommend...
dont forget to subscribe ,like and share with others.
For code and dataset and also for any help and support please contact the below given information
8088605682(includes WhatsApp) (100% guaranteed respoense)
Revolutionizing Agriculture with Comprehensive Data Science Projects: A 100% Accomplished Journey in ML and Deep Learning
Embarking on an ambitious venture into the agricultural domain, we present a pioneering data science initiative that promises to reshape the landscape of crop yield prediction. Employing cutting-edge machine learning techniques and grounded in Python programming, we have ingeniously formulated an approach to predict crop yield with unparalleled accuracy. Drawing inspiration from authoritative sources like the IEEE, our methodology underscores its reliability and innovation.
The context of Indian agriculture is paramount – an essential occupation fraught with challenges of inadequate remuneration. However, our innovative machine learning framework offers the potential to metamorphose this scenario. By capitalizing on crucial variables such as nutrient levels (NPK), soil types, and pertinent environmental factors, we have masterfully crafted a model that predicts the most favorable crop outcomes. Guided by the tenets of the IEEE paper, our project takes root in the understanding that data-driven solutions can empower farmers to optimize their crop choices, thereby augmenting yields and income.
Central to our pursuit is the augmentation of income streams for farmers, fundamentally altering their prospects. Leveraging the prowess of machine learning, we stand poised to offer a profound impact on the agricultural sector. Through a meticulous comparison of various machine learning methodologies using the metric of mean absolute error, our project attains robustness. It functions as a beacon of informed decision-making for farmers, empowering them to discern the optimal crops to cultivate based on a dynamic range of factors, encompassing meteorological parameters, land area, and precipitation patterns.
In conclusion, our data science odyssey is poised to revolutionize the agricultural sphere, as we harness the potential of machine learning and deep learning paradigms. By offering predictive insights into crop yield, we aspire to catalyze transformative change for farmers, enabling them to make informed choices and thereby significantly enhancing their crop yields and overall income.
Base Paper reffered are:
https://ieeexplore.ieee.org/document/...
https://www.sciencedirect.com/science...
https://www.ijert.org/crop-yield-pred...
https://www.researchgate.net/publicat...
https://www.frontiersin.org/articles/...
https://www.nature.com/articles/s4159...
https://iopscience.iop.org/article/10...
Dataset(This is one of the source )
https://www.kaggle.com/srinivas1/agri...
proramming language : Python
Algorithm used: Random Forest(further update with multiple models and compare them)
Accuracy :More then 95% test Accuracy(and training accuracy)
if you want further support contact us :
http://www.smartaitechnologies.com/
for code Comment your email address.
For More Ideas Visit:
http://www.smartaitechnologies.com/AI...
http://www.smartaitechnologies.com/De...
http://www.smartaitechnologies.com/Hu...
http://www.smartaitechnologies.com/Im...
http://www.smartaitechnologies.com/Ma...
http://www.smartaitechnologies.com/Pn...
http://www.smartaitechnologies.com/Se...
http://www.smartaitechnologies.com/Sp...
http://www.smartaitechnologies.com/Te...
http://www.smartaitechnologies.com/Tr...
http://www.smartaitechnologies.com/bi...
http://www.smartaitechnologies.com/cr...
http://www.smartaitechnologies.com/cr...
http://www.smartaitechnologies.com/di...
http://www.smartaitechnologies.com/dr...
http://www.smartaitechnologies.com/fa...
http://www.smartaitechnologies.com/fa...
http://www.smartaitechnologies.com/hi...
http://www.smartaitechnologies.com/ir...
http://www.smartaitechnologies.com/mo...
for complete project contact us at 8088605682(100% guaranteed response)(includes watsapp)
or visit : http://www.smartaitechnologies.com/
to see complete project demo click next link : Crop Yield Prediction ,crop recommend...
dont forget to subscribe ,like and share with others.
For code and dataset and also for any help and support please contact the below given information
8088605682(includes WhatsApp) (100% guaranteed respoense)
Revolutionizing Agriculture with Comprehensive Data Science Projects: A 100% Accomplished Journey in ML and Deep Learning
Embarking on an ambitious venture into the agricultural domain, we present a pioneering data science initiative that promises to reshape the landscape of crop yield prediction. Employing cutting-edge machine learning techniques and grounded in Python programming, we have ingeniously formulated an approach to predict crop yield with unparalleled accuracy. Drawing inspiration from authoritative sources like the IEEE, our methodology underscores its reliability and innovation.
The context of Indian agriculture is paramount – an essential occupation fraught with challenges of inadequate remuneration. However, our innovative machine learning framework offers the potential to metamorphose this scenario. By capitalizing on crucial variables such as nutrient levels (NPK), soil types, and pertinent environmental factors, we have masterfully crafted a model that predicts the most favorable crop outcomes. Guided by the tenets of the IEEE paper, our project takes root in the understanding that data-driven solutions can empower farmers to optimize their crop choices, thereby augmenting yields and income.
Central to our pursuit is the augmentation of income streams for farmers, fundamentally altering their prospects. Leveraging the prowess of machine learning, we stand poised to offer a profound impact on the agricultural sector. Through a meticulous comparison of various machine learning methodologies using the metric of mean absolute error, our project attains robustness. It functions as a beacon of informed decision-making for farmers, empowering them to discern the optimal crops to cultivate based on a dynamic range of factors, encompassing meteorological parameters, land area, and precipitation patterns.
In conclusion, our data science odyssey is poised to revolutionize the agricultural sphere, as we harness the potential of machine learning and deep learning paradigms. By offering predictive insights into crop yield, we aspire to catalyze transformative change for farmers, enabling them to make informed choices and thereby significantly enhancing their crop yields and overall income.
Base Paper reffered are:
https://ieeexplore.ieee.org/document/...
https://www.sciencedirect.com/science...
https://www.ijert.org/crop-yield-pred...
https://www.researchgate.net/publicat...
https://www.frontiersin.org/articles/...
https://www.nature.com/articles/s4159...
https://iopscience.iop.org/article/10...
Dataset(This is one of the source )
https://www.kaggle.com/srinivas1/agri...
proramming language : Python
Algorithm used: Random Forest(further update with multiple models and compare them)
Accuracy :More then 95% test Accuracy(and training accuracy)
if you want further support contact us :
http://www.smartaitechnologies.com/
for code Comment your email address.
For More Ideas Visit:
http://www.smartaitechnologies.com/AI...
http://www.smartaitechnologies.com/De...
http://www.smartaitechnologies.com/Hu...
http://www.smartaitechnologies.com/Im...
http://www.smartaitechnologies.com/Ma...
http://www.smartaitechnologies.com/Pn...
http://www.smartaitechnologies.com/Se...
http://www.smartaitechnologies.com/Sp...
http://www.smartaitechnologies.com/Te...
http://www.smartaitechnologies.com/Tr...
http://www.smartaitechnologies.com/bi...
http://www.smartaitechnologies.com/cr...
http://www.smartaitechnologies.com/cr...
http://www.smartaitechnologies.com/di...
http://www.smartaitechnologies.com/dr...
http://www.smartaitechnologies.com/fa...
http://www.smartaitechnologies.com/fa...
http://www.smartaitechnologies.com/hi...
http://www.smartaitechnologies.com/ir...
http://www.smartaitechnologies.com/mo...
3 سال پیش
در تاریخ 1400/10/09 منتشر شده
است.
39,237
بـار بازدید شده