A software framework for predicting the maize yield using modified multi-layer perceptron
S Ahmed - Sustainability, 2023 - mdpi.com
Predicting crop yields is one of agriculture's most challenging issues. It is crucial in making
national, provincial, and regional choices and estimates the government to meet the food …
national, provincial, and regional choices and estimates the government to meet the food …
A multimodal data fusion and deep neural networks based technique for tea yield estimation in Pakistan using satellite imagery
Achieving food security has become a major challenge for society. Crop yield estimation is
essential for crop monitoring to ensure food security. Manual crop yield estimation is …
essential for crop monitoring to ensure food security. Manual crop yield estimation is …
Multimodal crop cover identification using deep learning and remote sensing
Remote sensing is increasingly being used in agriculture and smart farming. Crop cover
identification is a major challenge that is useful in the identification of a particular crop at …
identification is a major challenge that is useful in the identification of a particular crop at …
Forecasting Tea Production in the Context of Bangladesh Utilizing Machine Learning
One of the most popular drinks, second only to water, is tea. Bangladesh ranks as the
world's 10th-largest manufacturer of tea. Tea has a big impact on poverty reduction, rural …
world's 10th-largest manufacturer of tea. Tea has a big impact on poverty reduction, rural …