[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
Machine learning and deep learning based computational techniques in automatic agricultural diseases detection: Methodologies, applications, and challenges
Plant disease detection is a critical issue that needs to be focused on for productive
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
agriculture and economy. Detecting plant disease using traditional methods is a tedious job …
A cloud enabled crop recommendation platform for machine learning-driven precision farming
Modern agriculture incorporated a portfolio of technologies to meet the current demand for
agricultural food production, in terms of both quality and quantity. In this technology-driven …
agricultural food production, in terms of both quality and quantity. In this technology-driven …
[PDF][PDF] Crop recommendation system using machine learning
ABSTRACT A vast fraction of the population of India considers agriculture as its primary
occupation. The production of crops plays an important role in our country. Bad quality crop …
occupation. The production of crops plays an important role in our country. Bad quality crop …
Malaria disease detection using cnn technique with sgd, rmsprop and adam optimizers
Malaria is life-threatening disease spread when an infected female Anopheles mosquito
bites a person. Malaria is one of the predominant diseases in the world. There exists many …
bites a person. Malaria is one of the predominant diseases in the world. There exists many …
A systematic review of knowledge representation techniques in smart agriculture (Urban)
Urban agriculture is the practice of growing food inside the city limits. Due to the exponential
amount of data generated by information and technology-based farm management systems …
amount of data generated by information and technology-based farm management systems …
Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations
Accurate and rapid plant disease detection is critical for enhancing long-term agricultural
yield. Disease infection poses the most significant challenge in crop production, potentially …
yield. Disease infection poses the most significant challenge in crop production, potentially …
Prediction of agriculture yields using machine learning algorithms
In recent years, great efforts have been carried out on the challenging task of predicting
different crop yields. Developing exact models for crop yield estimation utilizing Information …
different crop yields. Developing exact models for crop yield estimation utilizing Information …
Agricultural Irrigation Recommendation and Alert (AIRA) system using optimization and machine learning in Hadoop for sustainable agriculture
R Veerachamy, R Ramar - Environmental Science and Pollution Research, 2022 - Springer
Abstract Internet of Things (IoT) in the field of agriculture promises to continuously provide
global access to the farming information. The smart agriculture system either gives alert …
global access to the farming information. The smart agriculture system either gives alert …
IoT-enabled IEEE 802.15. 4 WSN monitoring infrastructure-driven fuzzy-logic-based crop pest prediction
Precision agriculture, as the future of farming technology, addresses challenges faced by
farmers by data mining of information collected through IoT-enabled crop monitoring …
farmers by data mining of information collected through IoT-enabled crop monitoring …