Try:droughtFusariumnitrogen fertilizerArabidopsisseed germination
Claim · model-written summary
A tiered system architecture framework for IoT-based precision irrigation and crop monitoring has been developed.
Not reportedComparator
Verbatim
e0“A tiered system architecture framework has been developed”
Title
Mohamed Elhoseny; Khadija Jahid; Rachid Latif; et al. Scientific African 2026. doi:10.1016/j.sciaf.2026.e03222
Claim · model-written summary
Case studies illustrate that IoT technologies can address resource usage and improve yield outcomes.
Not reportedComparator
Verbatim
e0“case studies illustrate how these technologies can address resource usage and improve yield outcomes”
Title
Mohamed Elhoseny; Khadija Jahid; Rachid Latif; et al. Scientific African 2026. doi:10.1016/j.sciaf.2026.e03222
Claim · model-written summary
The authors established an image dataset of 13,600 images representing 17 wheat varieties at the early growth stage.
Triticum aestivume0Verbatim
e0“We established a comprehensive image dataset of 13,600 images representing 17 wheat varieties at the early growth stage”
Title
Multi branch model based on cross scale feature fusion for wheat seedling variety recognition
Zhang Wenbo; Zhang Ziyang; Xi Chengyu; et al. Smart Agricultural Technology 2026. doi:10.1016/j.atech.2026.101785
Claim · model-written summary
The CocoaMoniliaDataSet comprises 1953 images of cocoa pods with four labeled classes.
Theobroma cacaot0
Moniliophthora rorerit0pathogenVerbatim
t0“A cocoa pod dataset to detect and classify Monilia roreri”
e1“The dataset comprises 1953 images with four labeled classes”
Title
CocoaMoniliaDataSet: A cocoa pod dataset to detect and classify Monilia roreri in real conditions
Joan Alvarado; Juan Felipe Restrepo-Arias; David Velásquez; et al. Data in Brief 2026. doi:10.1016/j.dib.2025.112447
Claim · model-written summary
Labels of the cocoa pod images are provided in COCO 1.0, YOLO and segmentation mask 1.1 formats for training object detection algorithms.
Theobroma cacaot0Verbatim
t0“A cocoa pod dataset to detect and classify Monilia roreri”
e1“the resulting labels are provided in COCO 1.0, YOLO, and segmentation mask 1.1 format”
Title
CocoaMoniliaDataSet: A cocoa pod dataset to detect and classify Monilia roreri in real conditions
Joan Alvarado; Juan Felipe Restrepo-Arias; David Velásquez; et al. Data in Brief 2026. doi:10.1016/j.dib.2025.112447
Claim · model-written summary
The fine-tuned EfficientNetB0 model achieved 99.51% test accuracy in detecting crop diseases.
Verbatim
e0“It achieved 99.51% test accuracy with a loss of 0.0165”
Title
Crop disease detection using EfficientNetB0 deep learning approach for precision agriculture
Muhammad Subhan; Nadim Rana; Farhan Qamar; et al. Discover Computing 2026. doi:10.1007/s10791-025-09881-y
Claim · model-written summary
The model had a test loss of 0.0165.
Verbatim
e0“It achieved 99.51% test accuracy with a loss of 0.0165”
Title
Crop disease detection using EfficientNetB0 deep learning approach for precision agriculture
Muhammad Subhan; Nadim Rana; Farhan Qamar; et al. Discover Computing 2026. doi:10.1007/s10791-025-09881-y
Claim · model-written summary
The tool is provided as a freely available web resource.
Not reportedValue
Verbatim
e0“As a freely available resource”
Title
S 2 ‐ PepAnalyst : A Web Tool for Predicting Plant Small Signalling Peptides
Kelly L. Vomo‐Donfack; Mariem Abaach; Ana M. Luna; et al. Plant Biotechnology Journal 2026. doi:10.1111/pbi.70536
Claim · model-written summary
A yield dataset at 10 m resolution was produced for major maize, rice and soybean regions of Northeast China for 2016 to 2021, with a method that estimates yields without field measurements.
Verbatim
e0“producing a detailed dataset with 10 m resolution, covering major regions of maize, rice, and soybean in Northeast China from 2016 to 2021”
e1“an innovative method for estimating crop yields without field measurements”
t0“maize”
Title
A 10 m maize, rice and soybean yield dataset from 2016 to 2021 in Northeast China
Fei Teng; Minglei Wang; Wenjiao Shi; et al. Scientific Data 2026. doi:10.1038/s41597-026-06719-0
Claim · model-written summary
Thirteen repeat-sensitive genome assemblies of maize and its recent ancestor teosinte were generated.
Verbatim
t0“maize”
e0“we generate 13 repeat-sensitive genome assemblies of maize and its recent ancestor, teosinte”
Title
Higher order repeat structures reflect diverging evolutionary paths in maize centromeres and knobs
Rebecca D. Piri; Mingyu Wang; M. Cinta Romay; et al. Genome biology 2026. doi:10.1186/s13059-026-03993-4
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