Plant Phenomics

Home
Plant Phenomics

Plant Phenomics is an online-only open access journal published in affiliation with Nanjing Agricultural University (NAU) and distributed by AAAS.

15/09/2023

Using spectral preprocessing and deep transfer learning, we efficiently estimated chlorophyll content in varying cotton batches. This innovation streamlines evaluations of cotton's nutritional status. 🌱🔍
Details: https://spj.science.org/doi/10.34133/2022/9813841

15/09/2023

We developed a comprehensive model for canopy photosynthesis, capturing both foliar and nonfoliar tissues. Validated on wheat, it offers insights into optimizing photosynthesis and designing efficient crops. 🌾📊
Details: https://spj.science.org/doi/10.34133/2022/9758148

15/09/2023

Using airborne LiDAR and computer graphics, we've developed a method to model forest canopy radiation, showing accurate radiant flux measurements vital for light-dependent biophysical studies. 🌲🌞
Details: https://spj.science.org/doi/10.34133/2022/9856739

15/09/2023

https://spj.science.org/doi/10.34133/2022/9768253

15/09/2023

Review on high-throughput field phenotyping: Emphasizing autonomous robotic systems. Details on components, navigation, and applications. Discussing challenges & future directions. 🌱🤖
Details: https://spj.science.org/doi/10.34133/2022/9760269

14/09/2023

Addressing the challenge of detecting small green fruits, our BFP Net innovatively balances features for improved small apple detection in orchards. Better accuracy, great generalization! 🍏🔍
Details: https://spj.science.org/doi/10.34133/2022/9892464

14/09/2023

Introducing SegVeg: A robust two-step approach for pixel-wise RGB image segmentation into background, green, and senescent vegetation. High accuracy, with the toolkit now publicly available! 🌱📸
Details: https://spj.science.org/doi/10.34133/2022/9803570

14/09/2023

EasyDAM_V2: A breakthrough model for cost-effective cross-species fruit detection labeling. Achieved 82.1% precision for pitayas and 85% for mangoes. Redefining smart orchard tech! 🍊🍍
Details: https://spj.science.org/doi/10.34133/2022/9761674

14/09/2023

UAV-based multisource data combined with ensemble learning models significantly boosts accuracy in estimating maize phenotypic traits, aiding efficient breeding. Best results: LAI (0.852), FW (0.888), DW (0.929). 🌽🚁
Details: https://spj.science.org/doi/10.34133/2022/9802585

14/09/2023

Hyperspectral and chlorophyll fluorescence imaging combined with deep fusion models detect rice stress from pollutants with 97.7% accuracy. A breakthrough for environmental stress phenotyping. 🌾🔍
Details: https://spj.science.org/doi/10.34133/2022/9851096

12/09/2023

Using UAVs with imaging tech, we can accurately evaluate Chinese cabbage traits, like width, length, and chlorophyll content. Efficient and reliable for crop phenotyping! 🌱🚁
Details: https://spj.science.org/doi/10.34133/plantphenomics.0007

12/09/2023

Introducing SE-COTR: Advanced deep learning model for accurate, real-time green apple segmentation in natural orchards. Boosts efficiency in intelligent agriculture. 🍏🤖
Details: https://spj.science.org/doi/10.34133/plantphenomics.0005

12/09/2023

Introducing an innovative method for automatic cassava root analysis. Enables faster, reliable phenotyping for high-yield breeding. Crucial for global starch supply. 🌱📊
Details: https://spj.science.org/doi/10.34133/2022/9767820

12/09/2023

Sorghum's root system architecture (RSA) responds variably to phosphorus levels. Study finds genotype-dependent plasticity, suggesting potential root trait trade-offs. Vital for crop optimization. 🌾🔬
Details: https://spj.science.org/doi/10.34133/plantphenomics.0002

12/09/2023

New deep learning approach accurately models individual strawberry plant canopies and biomass from high-res images. Groundbreaking results using VGG-16 & ResNet-50. 🍓🌱
Details: https://spj.science.org/doi/10.34133/2022/9850486

11/09/2023

Improved Mask R-CNN model accurately detects and reconstructs vine fruit tree branches, aiding harvest robots and phenotypic data extraction, even in complex orchard backgrounds. 🤖🌳
Details: https://spj.science.org/doi/10.34133/plantphenomics.0088

11/09/2023

UAV multispectral imagery improves winter wheat yield predictions. Our new Spectral-Textural Index (SPSI) increases accuracy, reducing spectral saturation. Crucial for sustainable farming. 🌾🚁
Details: https://spj.science.org/doi/10.34133/plantphenomics.0087

11/09/2023

Using drone tech and image analysis, we accurately predicted broccoli head sizes, determining optimal harvest dates, reducing food loss and boosting profits. 🥦🚁
Details: https://spj.science.org/doi/10.34133/plantphenomics.0086

Address

Website

https://spj.science.org/plantphenomics/

Alerts

Be the first to know and let us send you an email when Plant Phenomics posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Business

Send a message to Plant Phenomics:

Videos

About Plant Phenomics

Science Partner Journal Plant Phenomics is an online-only Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and distributed by the American Association for the Advancement of Science (AAAS). https://spj.sciencemag.org/journals/plantphenomics/

Shortcuts

Address
Alerts
Contact The Business
Videos
Claim ownership or report listing
Want your business to be the top-listed Media Company?

Country:

City:

15/09/2023

15/09/2023

15/09/2023

15/09/2023

15/09/2023

14/09/2023

14/09/2023

14/09/2023

14/09/2023

14/09/2023

12/09/2023

12/09/2023

12/09/2023

12/09/2023

12/09/2023

11/09/2023

11/09/2023

11/09/2023

Address

Website

Alerts

Contact The Business

Videos

About Plant Phenomics

Shortcuts

Share