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As Vision Language Models (VLMs) become increasingly accessible to farmers and agricultural experts, there is a growing need to evaluate their potential in specialized tasks.
Emerging infectious diseases of plants: pathogen pollution, climate change and agrotechnology drivers
Pamela K Anderson, Andrew A Cunningham, Nikkita G Patel, Francisco J Morales, Paul R Epstein, and Peter Daszak · 2004
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Field high-throughput phenotyping: the new crop breeding frontier
José Luis Araus and Jill E Cairns · 2014
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Lights, camera, action: high-throughput plant phenotyping is ready for a close-up
Noah Fahlgren, Malia A Gehan, and Ivan Baxter · 2015
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Using deep learning for image-based plant disease detection
Sharada P Mohanty, David P Hughes, and Marcel Salathé · 2016
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Deep plant phenomics: a deep learning platform for complex plant phenotyping tasks
Jordan R Ubbens and Ian Stavness · 2017
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Deep machine learning provides state-of-the-art performance in image-based plant phenotyping
Michael P Pound, Jonathan A Atkinson, Alexandra J Townsend, Michael H Wilson, Marcus Griffiths, Aaron S Jackson, Adrian Bulat, Georgios Tzimiropoulos, Darren M Wells, Erik H Murchie, et al · 2017
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A real-time phenotyping framework using machine learning for plant stress severity rating in soybean
Hsiang Sing Naik, Jiaoping Zhang, Alec Lofquist, Teshale Assefa, Soumik Sarkar, David Ackerman, Arti Singh, Asheesh K Singh, and Baskar Ganapathysubramanian · 2017
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An explainable deep machine vision framework for plant stress phenotyping
Sambuddha Ghosal, David Blystone, Asheesh K Singh, Baskar Ganapathysubramanian, Arti Singh, and Soumik Sarkar · 2018
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Towards a real-time sorting system: Identification of vitreous durum wheat kernels using ann based on their morphological, colour, wavelet and gaborlet features
Esra Kaya and İsmail Saritas · 2019
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Deepweeds: A multiclass weed species image dataset for deep learning
Alex Olsen, Dmitry A Konovalov, Bronson Philippa, Peter Ridd, Jake C Wood, Jamie Johns, Wesley Banks, Benjamin Girgenti, Owen Kenny, James Whinney, et al · 2019
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Raw data from yellow sticky traps with insects for training of deep learning convolutional neural network for object detection
AT Nieuwenhuizen, J Hemming, Dirk Janssen, HK Suh, L Bosmans, V Sluydts, N Brenard, E Rodríguez, and MDM Tellez · 2019
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Plantdoc: A dataset for visual plant disease detection
Davinder Singh, Naman Jain, Pranjali Jain, Pratik Kayal, Sudhakar Kumawat, and Nipun Batra · 2020
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Determination of the severity level of yellow rust disease in wheat by using convolutional neural networks
Tolga Hayit, Hasan Erbay, Fatih Varçın, Fatma Hayit, and Nilüfer Akci · 2021
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
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Cyber-agricultural systems for crop breeding and sustainable production
Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Fateme Fotouhi, Soumyashree Kar, Koushik Nagasubramanian, Girish Chowdhary, Sajal K Das, George Kantor, Adarsh Krishnamurthy, Nirav Merchant, and Asheesh K. Singh · 2023
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Benchmarking self-supervised contrastive learning methods for image-based plant phenotyping
Franklin C Ogidi, Mark G Eramian, and Ian Stavness · 2023
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Adapting vision foundation models for plant phenotyping
Feng Chen, Mario Valerio Giuffrida, and Sotirios A Tsaftaris · 2023
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Instructblip: Towards general-purpose vision-language models with instruction tuning. arxiv 2023
Wenliang Dai, Junnan Li, D Li, AMH Tiong, J Zhao, W Wang, B Li, P Fung, and S Hoi · 2023
Mango leaf disease dataset
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Bean leaf lesions classification
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Dangerous insects dataset
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Zero-shot insect detection via weak language supervision
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Yellow rust disease in wheat
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Visit-bench: A benchmark for vision-language instruction following inspired by real-world use
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Mangoleafbd: A comprehensive image dataset to classify diseased and healthy mango leaves
Sarder Iftekhar Ahmed, Muhammad Ibrahim, Md Nadim, Md Mizanur Rahman, Maria Mehjabin Shejunti, Taskeed Jabid, and Md Sawkat Ali · 2023
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The classification of wheat yellow rust disease based on a combination of textural and deep features
Tolga Hayıt, Hasan Erbay, Fatih Varçın, Fatma Hayıt, and Nilüfer Akci · 2023
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Few-shot fine-tuning vs. in-context learning: A fair comparison and evaluation
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Muirbench: A comprehensive benchmark for robust multi-image understanding
Fei Wang, Xingyu Fu, James Y Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, et al · 2024
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Many-shot in-context learning in multimodal foundation models
Yixing Jiang, Jeremy Irvin, Ji Hun Wang, Muhammad Ahmed Chaudhry, Jonathan H Chen, and Andrew Y Ng · 2024
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Visual instruction tuning
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