Smart Agriculture Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things
Coordonnateurs : Patel Govind Singh, Rai Amrita, Das Nripendra Narayan, Singh R.P.
Machine learning and deep learning in agriculture, Descriptive and predictive analytics of agricultural data using machine learning algorithms, Discrimination between weed and crop via image analysis using machine learning algorithm, Bio-inspired optimization algorithms for machine learning in agriculture applications, Agricultural modernization with forecasting stages and machine learning, Classification of segmented image using increased global contrast for Paddy plant disease, IOT in agriculture: Survey on technology, challenges and future scope, Role of IoT in sustainable farming, Smart farming: Crop models and decision support systems using IOT, Smart irrigation in farming using internet of things, Automation systems in agriculture via IOT, A complete automated solution for farm field and garden nurture using internet of things, Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection, Clock signal and its attribute for agriculture.
Dr. Govind Singh Patel has a PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. He is working as a Professor in Lovely Professional University, Jalandhar, PB, India, and has published more than 45 papers in National and International Journals. He is a reviewer of many international journals like Springer, JCTN and more.
Dr. Amrita Rai received PhD in Electronics and Communication Engineering from Thapar University, Patiala, India. She is working as Associate Professor in UPTU, India. She has published more than 40 papers in National and International Journals.
Dr. Nripendra Narayan Das received PhD in Computer Science Engineering from Gautam Budda University, UP, India. He is working as Associate Professor in Manipal University, Jaipur, India. He has published more than 30 papers in National and International Journals.
Dr. R. P. Singh is working as Assistant Professor in School of Electrical and Computer Engineering, Haramaya Institute of Technology, Haramaya University, Diredawa, Ethopia, Africa. He has published more than 25 papers in National and International Journals.
Date de parution : 09-2023
17.4x24.6 cm
Date de parution : 01-2021
17.4x24.6 cm
Thèmes de Smart Agriculture :
- Dessin industriel CAO FAO
- Génie civil - bâtiment - travaux publics
- Économies et politiques économiques mondiales : relations économiques internationales / douanes, exportation
- Intelligence artificielle
- Automatique / robotique
- Éléments de machines / fabrication de machines / mécanismes
- guides informatiques (choix, utilisation du matériel...). ouvrages de vulgarisation. généralités
- généralités sur l'agriculture
- botanique - flores
Mots-clés :
Gray Level Co-occurrence Matrix Feature; smart agriculture; Arduino UNO; machine learning; Moisture Content; artificial intelligence; smart sensors; Max Pooling Layer; internet; IoT Device; Internet of things; IoT Technology; Machine learning algorithm; Soil Moisture Sensor; Smart farming; IoT Application; Weed Detection; Deep learning; Machine Learning Algorithms; SVM; Wireless Sensor Networks; IoT System; Precision Agriculture; Unsupervised Machine Learning; Grey Level Co-occurrence Matrix; Raspberry Pi; Precision Farming; Soil Management; Bacterial Foraging Optimization Algorithm; Arduino Ide; HSI Color; ARIMA Model