Life & medical sciences · OECD FoS 4.1 · China MoE 0901 作物学
Agricultural sciences
农学
L1Assistive → Steady Score 1.30 · Last reviewed 2026-10-22 · Next review 2027-01-19
BIGGEST BREAKTHROUGH 2016-09-22 AI · majorField · major
Deep learning for image-based plant disease detection (Frontiers in Plant Science) ↗
Launched smartphone-based crop disease diagnosis
Why this level
AI is used for genomic selection, phenotype prediction and pest ID; 2026 Nature Communications crop models are benchmark gains, with no field-validated landmark AI breeding result yet.
S = 0.30·method + 0.35·discovery + 0.25·adoption + 0.10·education (education scores 0 when there is no evidence; if empty, the other weights are renormalised)
Sources
Composite 0.75–1.49: AI is an aid in parts of research or practice, with cases or surveys, but no recognised AI-key result. All levels →
Research directions
Genomic selectionPhenomicsPest & disease IDPrecision farming
Papers
- Robustly enhancing crop genomic prediction accuracy through ensemble learning and iterative optimization
Ensemble gains on five crops
2026-07-20 · Nature Communications
- Leveraging weighted embedding and Transformer architecture to improve phenotype prediction of complex traits for crops
Benchmark gain, not field-validated
2026-03-26 · Nature Communications
- A review of deep learning applications for genomic selection
Finds limited advantage over GBLUP
2021-01-06 · BMC Genomics
- Using Deep Learning for Image-Based Plant Disease Detection
Launched smartphone-based crop disease diagnosis
2016-09-22 · Frontiers in Plant Science
- Enhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation
A hybrid CNN–Transformer with self-distillation improves banana variety classification across quality grades for precision agriculture.
2026-10-21 · arXiv · Khush Kataruka, Mohammad Muzammila, Zahid Akhtar, Raghavendra Ramachandra
- Bombadil: A Foundation Model for Plant Electrophysiology
Bombadil is a foundation model for plant electrophysiology that transfers across tasks, species and environments.
2026-10-19 · arXiv · James Kirk, Piotr Bednarski, Filip Twardy, Justin Mast
- OceanTensorCube and ST-MMT: A Multimodal Data and Transformer System for Seven-Day Forecasting of Pyropia Bleaching
A spatiotemporal transformer forecasts Pyropia (laver) bleaching seven days ahead for Korean farms.
2026-10-19 · arXiv · Gwangjin Kim, Cheolyoung Jang, Yosep Jo
- ADA 2025: A Multimodal Dataset for Water-Deficit Stress Detection in Sugar Beets
A multimodal sugar-beet dataset for AI-based early water-deficit stress detection, beyond RGB-only data.
2026-10-16 · arXiv · Piper Powell, Robert Franz, Amos Smith, Isaak Ihorst
- A100: A Hybrid Vision Foundation Model for Agricultural Plant Image Analysis
A100, pretrained on 3M unlabelled field images of 100+ crops, beats ImageNet features for agriculture.
2026-10-16 · arXiv · Mayur Pratim Das, Ajai Dubey, Aksshay Mathew P, Sana Afreen
- Deep Learning for Forest Plantation Mapping in Godavari Districts of Andhra Pradesh, India
Deep learning maps small forest plantations in Andhra Pradesh from satellite imagery.
2026-10-14 · arXiv · Snehal More, Anuj Karpatne, Valerie A. Thomas, Randolph H. Wynne
- Detection of Potato Plant Leaf Diseases using Convolutional Neural Networks
A lightweight CNN classifies potato leaf diseases with 90.28% accuracy on Ethiopian field images.
2026-10-14 · arXiv · Haimanot Bitew Alemayehu, Simachew Melaku Ayalew, Chilotie Desalew Mengesha, Ayisheshim Almaw Bogale
- From arXiv, bioRxiv, medRxiv and OpenAlex (last ~30 days); summaries written by AIMap from the abstract.
Milestones 7
Big glowing nodes are leaps: AI leap cool · Field leap warm · double ring = both
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Deployment
Google opens its Agricultural Understanding models in public preview (11 countries); Gujarat’s Krushi Pragati platform sent 900M+ SMS advisories to 600k+ farmers using themAI: field-level landscape and crop models opened via API. Field: state-government advisory service covering 14M+ hectares (figures are Google’s own)
Google India BlogVendor claim -
Paper
GEG2P ensemble improves genomic prediction across five crops (Nat. Commun.)Ensemble gains on five crops
Nature Communications -
Paper
GP-WAITER Transformer improves crop trait prediction (Nat. Commun.)Benchmark gain, not field-validated
Nature Communications -
Paper
University of Arkansas 3-year trials: 43–59% less herbicide, but low sensitivity raised Palmer amaranth seed output 280%/yrIndependent field evidence of benefits and risks
University of Arkansas -
Deployment
John Deere See & Spray used on 5M+ acres in 2025, cutting non-residual herbicide use ~50%At-scale field deployment; independent trials show 43–59% savings but missed weeds
John DeereVendor claimTo be verified -
Paper
Review of deep learning for genomic prediction (BMC Genomics)Finds limited advantage over GBLUP
BMC Genomics -
Paper
Deep learning for image-based plant disease detection (Frontiers in Plant Science)Launched smartphone-based crop disease diagnosis
Frontiers in Plant Science
No milestones match this filter.
More papers & repos 4
Latest news 5
- Google Brings AI-Powered Crop Research & Business Tools To IndiaAnalytics India Magazineen
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