A comprehensive survey on IoT and AI based applications in different pre-harvest, during-harvest and post-harvest activities of smart agriculture
RK Kasera, S Gour, T Acharjee - Computers and Electronics in Agriculture, 2024 - Elsevier
Today farmers around the world are gradually embracing Smart farming assisted by different
cutting-edge technologies. The Internet of Things (IoT) is playing a major role in the …
cutting-edge technologies. The Internet of Things (IoT) is playing a major role in the …
Modern-age Agriculture with Artificial Intelligence: A review emphasizing Crop Yield Prediction
P Sharma, P Dadheech - 2023 - catalog.lib.kyushu-u.ac.jp
Agriculture is a key employment in several countries throughout the globe. AI is increasingly
becoming a part of agriculture industry as traditional methods are insufficient to supply the …
becoming a part of agriculture industry as traditional methods are insufficient to supply the …
Tomato plant disease classification using multilevel feature fusion with adaptive channel spatial and pixel attention mechanism
Agriculture's productivity has decreased in the last decade due to climate change and
inappropriate usage of water, fertilizer, and pesticides, which stimulate plant diseases. Plant …
inappropriate usage of water, fertilizer, and pesticides, which stimulate plant diseases. Plant …
Systematic study on deep learning-based plant disease detection or classification
Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …
Field evaluation of smart sensor system for plant disease prediction using LSTM network
Leaf wetness duration (LWD), soil moisture, soil temperature, ambient temperature, and
relative humidity information are the essential factors that leads to germination of plant …
relative humidity information are the essential factors that leads to germination of plant …
A unified lightweight CNN-based model for disease detection and identification in corn, rice, and wheat
Plant diseases are a significant threat to global food security since they directly affect the
quality of crops, leading to a decline in agricultural productivity. Several researchers have …
quality of crops, leading to a decline in agricultural productivity. Several researchers have …
Machine learning techniques for increasing efficiency of the robot's sensor and control information processing
Real-time systems are widely used in industry, including technological process control
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …
systems, industrial automation systems, SCADA systems, testing, and measuring equipment …
[HTML][HTML] Towards a semantic structure for classifying IoT agriculture sensor datasets: An approach based on machine learning and web semantic technologies
With the increase in the number of IoT farming datasets, it has become so difficult to identify
the right data for IoT agriculture applications. Therefore, a meaningful structure is needed to …
the right data for IoT agriculture applications. Therefore, a meaningful structure is needed to …
IoT Enabled, Leaf Wetness Sensor on the Flexible Substrates for In-Situ Plant Disease Management
Early plant disease detection and providing the control measures have become highly
desirable to improve crop yield. Leaf wetness duration (LWD) is one of the essential …
desirable to improve crop yield. Leaf wetness duration (LWD) is one of the essential …
AI-Enabled Crop Recommendation System Based on Soil and Weather Patterns
Agriculture is the foremost factor which is important for the survival of human beings.
Farming contributes to a very big part of GDP; still, several areas exist where improvements …
Farming contributes to a very big part of GDP; still, several areas exist where improvements …