Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges
A new industrial revolution is undergoing, based on a number of technological paradigms.
The will to foster and guide this phenomenon has been summarized in the expression …
The will to foster and guide this phenomenon has been summarized in the expression …
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data
Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …
photosynthetic productivity estimation and crop growth monitoring in agricultural …
Smart farming is key to developing sustainable agriculture
Agriculture has seen many revolutions, whether the domestication of animals and plants a
few thousand years ago, the systematic use of crop rotations and other improvements in …
few thousand years ago, the systematic use of crop rotations and other improvements in …
A paradigm of internet-of-nano-things inspired intelligent plant pathogen-diagnostic biosensors
Sonu, V Chaudhary - ECS Sensors Plus, 2022 - iopscience.iop.org
Plant pathogens massively affect crop productivity and are one of the significant challenges
in attaining sustainable development goals related to agriculture, food production, and …
in attaining sustainable development goals related to agriculture, food production, and …
Detection of potato diseases using image segmentation and multiclass support vector machine
Modern phenotyping and plant disease detection provide promising step towards food
security and sustainable agriculture. In particular, imaging and computer vision based …
security and sustainable agriculture. In particular, imaging and computer vision based …
A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
Hyperspectral sensors and imaging technologies in phytopathology: state of the art
Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …
applications. Visual assessment by human raters is time-consuming, expensive, and error …
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
The severity of plant diseases, traditionally the proportion of the plant tissue exhibiting
symptoms, is a key quantitative variable to know for many diseases and is prone to error …
symptoms, is a key quantitative variable to know for many diseases and is prone to error …
Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective
S Thomas, MT Kuska, D Bohnenkamp… - Journal of Plant …, 2018 - Springer
The detection and identification of plant diseases is crucial for an appropriate and targeted
application of plant protection measures in crop production. Recently, intensive research …
application of plant protection measures in crop production. Recently, intensive research …