Soil classification, crop prediction, and disease detection using ML and DL–“agro insights”
TK Mururgan, P Revanth - Journal of Plant Diseases and Protection, 2024 - Springer
India, renowned for its rich agricultural heritage, is ranked among the three world crop
suppliers. Farmers face numerous challenges, including difficulty in selecting profitable …
suppliers. Farmers face numerous challenges, including difficulty in selecting profitable …
Image-based rice leaf disease detection using CNN and generative adversarial network
Rice is a major crop and staple food for more than half of the world's population and plays a
vital role in ensuring food security as well as the global economy pests and diseases pose a …
vital role in ensuring food security as well as the global economy pests and diseases pose a …
A Survey of Methods for Addressing Imbalance Data Problems in Agriculture Applications
This survey explores recent advances in addressing class imbalance issues for developing
machine learning models in precision agriculture, with a focus on techniques used for plant …
machine learning models in precision agriculture, with a focus on techniques used for plant …
Coconut Disease Detection using Traditional ML Classifiers with GLCM and SIFT Features
AG Karegowda, D Vaishnavi… - 2024 8th International …, 2024 - ieeexplore.ieee.org
Coconut crops are very valuable, with both edible and non-edible parts used in many
industries. These crops can suffer from diseases like bud root dropping, bud rot, grey leaf …
industries. These crops can suffer from diseases like bud root dropping, bud rot, grey leaf …