FOSTERING NATURAL FOREST REGENERATION ON FORMER AGRICULTURAL LAND THROUGH ECONOMIC AND POLICY INTERVENTIONS


A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks

This work is inspired by Kaggle competition which was part of the Fine-Grained Visual Categorization workshop at CVPR 2019 (Conference on Computer Vision and Pattern Recognition) we participated in.It aimed at detecting cassava diseases using 5 fine-grained cassava leaf disease categories with 10,000, labeled images collected during a regular surve

read more