Crop Agnostic Monitoring Driven by Deep Learning
Michael Halstead, Alireza Ahmadi, Claus Smitt et al. · Frontiers in Plant Science · 2021
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Decision Sciences: papers
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19 papersQuestions on this topic
Multi-Modal Deep Learning for Weeds Detection in Wheat Field Based on RGB-D Images
Ke Xu, Ke Xu, Ke Xu et al. · Frontiers in Plant Science · 2021
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Decoding chemical interactions among pomegranate, Aphis punicae, and associated insects in Taif fields through open-loop stripping
Nour Houda M’sakni, Taghreed Alsufyani, Noura J. Alotaibi · Frontiers in Plant Science · 2025
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Prediction of Biomass and N Fixation of Legume–Grass Mixtures Using Sensor Fusion
Esther Grüner, Thomas Astor, Michael Wachendorf · Frontiers in Plant Science · 2021
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Corylus avellana L. Natural Signature: Chiral Recognition of Selected Informative Components in the Volatilome of High-Quality Hazelnuts
Federico Stilo, Federico Stilo, Marta Cialiè Rosso et al. · Frontiers in Plant Science · 2022
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The Population Structure of a Globe Artichoke Worldwide Collection, as Revealed by Molecular and Phenotypic Analyzes
Domenico Rau, Giovanna Attene, Monica Rodriguez et al. · Frontiers in Plant Science · 2022
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Moisture Dynamics of Wood-Based Panels and Wood Fibre Insulation Materials
Liselotte De Ligne, Liselotte De Ligne, Liselotte De Ligne et al. · Frontiers in Plant Science · 2022
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Biological Control and Plant Growth Promotion Properties of Volatile Organic Compound-Producing Antagonistic Trichoderma spp.
Jin Ho Joo, Khalid Abdallah Hussein, Khalid Abdallah Hussein · Frontiers in Plant Science · 2022
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Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield
Ali Mokhtar, Ali Mokhtar, Ali Mokhtar et al. · Frontiers in Plant Science · 2022
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Comparison of wild and domesticated hot peppers fruit: volatile emissions, pungency and protein profiles
Diego Comparini, Cosimo Taiti, Matteo Lanza et al. · Advances in Horticultural Science · 2021
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The New Cranberry Wisconsin Research Station: Renovation Priorities of a ‘Stevens’ Cranberry Marsh Based on Visual Mapping, Genetic Testing, and Yield Data
Daniel Matusinec, Andrew Maule, Eric Wiesman et al. · International Journal of Fruit Science · 2022
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A mixed methods approach to exploring values that inform desirable food-systems futures
Rachael Belisle-Toler, Jennifer Hodbod, Chelsea Wentworth · Sustainability: Science, Practice, & Policy · 2021
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Comparative Analysis of the MADS-Box Genes Revealed Their Potential Functions for Flower and Fruit Development in Longan (Dimocarpus longan)
Baiyu Wang, Wenshun Hu, Wenshun Hu et al. · Frontiers in Plant Science · 2022
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Mitigating Heat Wave and Exposure Damage to “Cabernet Sauvignon” Wine Grape With Partial Shading Under Two Irrigation Amounts
Johann Martínez-Lüscher, Christopher Cody Lee Chen, Luca Brillante et al. · Frontiers in Plant Science · 2020
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Permissiveness of Brazilian Legislation, Widespread Contamination by Pesticides in Food and Water, and Risks to the Population’s Health
Carolina Panis, Luciano Zanetti Pessôa Candiotto, Shaiane Carla Gaboardi · Frontiers in Environmental Science · 2022
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A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0
Eleni Symeonaki, Konstantinos Arvanitis, Dimitrios Piromalis · Applied Sciences · 2020
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Computer Vision Meets Generative Models in Agriculture: Technological Advances, Challenges and Opportunities
Xirun Min, Yuwen Ye, Shuming Xiong et al. · Applied Sciences · 2025
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Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks
Cathy C. Westhues, Cathy C. Westhues, Gregory S. Mahone et al. · Frontiers in Plant Science · 2021
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Deep Metric Learning-Based Strawberry Disease Detection With Unknowns
Jie You, Kan Jiang, Joonwhoan Lee · Frontiers in Plant Science · 2022
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