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.