[HTML][HTML] Applications of internet of things (IoT) and sensors technology to increase food security and agricultural Sustainability: Benefits and challenges
Agriculture must overcome escalating problems in order to feed a growing population while
preserving the environment and natural resources. Recently, it has become clear that …
preserving the environment and natural resources. Recently, it has become clear that …
[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
[HTML][HTML] Role of internet of things and deep learning techniques in plant disease detection and classification: A focused review
The automatic detection, visualization, and classification of plant diseases through image
datasets are key challenges for precision and smart farming. The technological solutions …
datasets are key challenges for precision and smart farming. The technological solutions …
[HTML][HTML] Grapenet: A lightweight convolutional neural network model for identification of grape leaf diseases
J Lin, X Chen, R Pan, T Cao, J Cai, Y Chen, X Peng… - Agriculture, 2022 - mdpi.com
Most convolutional neural network (CNN) models have various difficulties in identifying crop
diseases owing to morphological and physiological changes in crop tissues, and cells …
diseases owing to morphological and physiological changes in crop tissues, and cells …
[HTML][HTML] Evaluating plant disease detection mobile applications: Quality and limitations
Agronomy | Free Full-Text | Evaluating Plant Disease Detection Mobile Applications: Quality
and Limitations Next Article in Journal Soil Quality Index as Affected by Integrated Nutrient …
and Limitations Next Article in Journal Soil Quality Index as Affected by Integrated Nutrient …
Embedded AI for wheat yellow rust infection type classification
Wheat is the most important and dominating crop in Pakistan in terms of production and
acreage, which is grown on 37% of the cultivated area, accounting for 70% of the total …
acreage, which is grown on 37% of the cultivated area, accounting for 70% of the total …
[HTML][HTML] A bibliometric and word cloud analysis on the role of the internet of things in agricultural plant disease detection
Agriculture has observed significant advancements since smart farming technology has
been introduced. The Green Movement played an essential role in the evolution of farming …
been introduced. The Green Movement played an essential role in the evolution of farming …
Contemporary and futuristic intelligent technologies for rice leaf disease detection
Rice also called Oryza sativa is the world's third most widely consumed granule, with about
50% of the people in the world consuming it as a fasten food. Rice cultivation was favored …
50% of the people in the world consuming it as a fasten food. Rice cultivation was favored …
[PDF][PDF] Comparison of Artificial Intelligence Algorithms in Plant Disease Prediction.
Accepted: 12 April 2022 The оссurrenсe or сhаnge in the diseases in а specific аreа саn be
рrediсted in аdvаnсe with the help оf рlаnt disease fоreсаsting model. This helps to …
рrediсted in аdvаnсe with the help оf рlаnt disease fоreсаsting model. This helps to …
Affordable high throughput field detection of wheat stripe rust using deep learning with semi-automated image labeling
Stripe rust (caused by Puccinia striiformis f. sp. tritici) is one of the most devastating diseases
of wheat and causes large-scale epidemics and severe yield loss. Applying fungicides …
of wheat and causes large-scale epidemics and severe yield loss. Applying fungicides …