Data Science in Agriculture
- 18 June 2020
- Vol. 65 (7), 42-46
- https://doi.org/10.1002/csan.20204
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Applications of Vegetative Indices from Remote Sensing to Agriculture: Past and FutureInventions, 2019
- Machine learning and artificial intelligence to aid climate change research and preparednessEnvironmental Research Letters, 2019
- Using machine learning to quantify the impacts of genetically modified crops on US midwest corn yieldsApplied Geography, 2019
- Big Data Analysis for Sustainable Agriculture on a Geospatial Cloud FrameworkFrontiers in Sustainable Food Systems, 2019
- Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping PlatformFrontiers in Plant Science, 2019
- Big Data and Climate ChangeBig Data and Cognitive Computing, 2019
- Big data and machine learning for crop protectionComputers and Electronics in Agriculture, 2018
- Deep learning models for plant disease detection and diagnosisComputers and Electronics in Agriculture, 2018
- Towards a new generation of agricultural system data, models and knowledge products: Design and improvementAgricultural Systems, 2017
- A global experimental dataset for assessing grain legume productionScientific Data, 2016