A smart and sustainable framework for millet crop monitoring equipped with disease detection using enhanced predictive intelligence

IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet

(2021) Nidhi Kundu et al.   SENSORS

Deep feature based rice leaf disease identification using support vector machine

(2020) Prabira Kumar Sethy et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease

(2019) Sergio Trilles et al.   Sustainable Computing-Informatics & Systems

The global burden of pathogens and pests on major food crops

(2019) Serge Savary et al.   Nature Ecology & Evolution

Deep neural networks with transfer learning in millet crop images

(2019) Solemane Coulibaly et al.   COMPUTERS IN INDUSTRY

An IoT-based cognitive monitoring system for early plant disease forecast

(2019) Ahmed Khattab et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers

(2018) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

How Deep Learning Extracts and Learns Leaf Features for Plant Classification

(2017) Sue Han Lee et al.   PATTERN RECOGNITION

Crops that feed the world 11. Pearl Millet (Pennisetum glaucum L.): an important source of food security, nutrition and health in the arid and semi-arid tropics

(2016) A. K . Jukanti et al.   Food Security

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

(2016) Srdjan Sladojevic et al.   Computational Intelligence and Neuroscience