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Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
Characterising the agriculture 4.0 landscape—emerging trends, challenges and opportunities
Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …
Plant disease detection using computational intelligence and image processing
Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …
numerous countries including India. Diseases in plants/crops are the serious causes in …
[HTML][HTML] Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
Most conventional sprayers apply agrochemicals uniformly, despite the fact that distribution
of weeds is typically patchy, resulting in wastage of valuable compounds, increased costs …
of weeds is typically patchy, resulting in wastage of valuable compounds, increased costs …
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence
Traditional sensing technologies in specialty crops production, for pest and disease
detection and field phenoty**, rely on manual sampling and are time consuming and labor …
detection and field phenoty**, rely on manual sampling and are time consuming and labor …
[HTML][HTML] UAV-based remote sensing technique to detect citrus canker disease utilizing hyperspectral imaging and machine learning
A remote sensing technique was developed to detect citrus canker in laboratory conditions
and was verified in the grove by utilizing an unmanned aerial vehicle (UAV). In the …
and was verified in the grove by utilizing an unmanned aerial vehicle (UAV). In the …
[HTML][HTML] UAV-based high throughput phenoty** in citrus utilizing multispectral imaging and artificial intelligence
Traditional plant breeding evaluation methods are time-consuming, labor-intensive, and
costly. Accurate and rapid phenotypic trait data acquisition and analysis can improve …
costly. Accurate and rapid phenotypic trait data acquisition and analysis can improve …
Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques
Early and accurate diagnosis is a critical first step in mitigating losses caused by plant
diseases. An incorrect diagnosis can lead to improper management decisions, such as …
diseases. An incorrect diagnosis can lead to improper management decisions, such as …
Wheat yellow rust detection using UAV-based hyperspectral technology
Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …
Machine learning and deep learning for plant disease classification and detection
Precision agriculture is a rapidly develo** field aimed at addressing current concerns
about agricultural sustainability. Machine learning is the cutting edge technology …
about agricultural sustainability. Machine learning is the cutting edge technology …