Training materials including classroom and hands-on field exercises for drone phenotyping were developed and delivered to multiple global partners. Drone-phenotyping was implemented across multiple sites and years on Reference and Antenna panels). Drone data from these trials was processed, analyzed and compiled for inclusion in global GxExM analysis
The introduction of precision farming technologies using hightech equipment will increase the produc...
Filed experiments were concluded to provide proof of concept. Accurate plot segmentation results ena...
High-throughput phenotyping systems with unmanned aerial vehicles (UAVs) enable observation of crop ...
New HTP platforms and facilities were deployed in the reference panel evaluation in Raipur, Titabar ...
The drone operated by the CIAT Phenomics Platform can take an image of 10,000 breeding lines within ...
The image analysis software ( Pheno-i) can be widely applicable to any other crop to extract phenoty...
Pheno i has successfully been used and validated to classify the rice Hoja Blanca virus in collabora...
Proof of concept delivered. Three machine learning methods based on multivariable linear regressions...
The system is going to be tested in the next screening season. Using drones can standardize screenin...
Phenotyping and weather data from 10 locations available at project site. Other data sets are being ...
Phenotyping plays an important role in crop science and breeding programs. The accurate, rapid acqui...
Low-altitude aerial imaging, an approach that can collect large-scale plant imagery, has grown in po...
Rice is the staple food for half of the global population and irrigated rice contributes 70% of tota...
Altered climatic conditions leading to more frequent and intense abiotic events (e.g. drought or hea...
Advances in automation and data science have led agriculturists to seek real-time, high-quality, hig...
The introduction of precision farming technologies using hightech equipment will increase the produc...
Filed experiments were concluded to provide proof of concept. Accurate plot segmentation results ena...
High-throughput phenotyping systems with unmanned aerial vehicles (UAVs) enable observation of crop ...
New HTP platforms and facilities were deployed in the reference panel evaluation in Raipur, Titabar ...
The drone operated by the CIAT Phenomics Platform can take an image of 10,000 breeding lines within ...
The image analysis software ( Pheno-i) can be widely applicable to any other crop to extract phenoty...
Pheno i has successfully been used and validated to classify the rice Hoja Blanca virus in collabora...
Proof of concept delivered. Three machine learning methods based on multivariable linear regressions...
The system is going to be tested in the next screening season. Using drones can standardize screenin...
Phenotyping and weather data from 10 locations available at project site. Other data sets are being ...
Phenotyping plays an important role in crop science and breeding programs. The accurate, rapid acqui...
Low-altitude aerial imaging, an approach that can collect large-scale plant imagery, has grown in po...
Rice is the staple food for half of the global population and irrigated rice contributes 70% of tota...
Altered climatic conditions leading to more frequent and intense abiotic events (e.g. drought or hea...
Advances in automation and data science have led agriculturists to seek real-time, high-quality, hig...
The introduction of precision farming technologies using hightech equipment will increase the produc...
Filed experiments were concluded to provide proof of concept. Accurate plot segmentation results ena...
High-throughput phenotyping systems with unmanned aerial vehicles (UAVs) enable observation of crop ...