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Categories
- Biocontrol (RSS) (2)
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Posts
- 5 features to look for when selecting drone RGB sensors for phenotyping (0)
- A 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring (0)
- A Surface Albedo Product at High Spatial Resolution from a Combination of Sentinel-2 and Landsat-8 Observations (0)
- An automatic method based on daily in situ images and deep learning to date wheat heading stage (0)
- Annoucement: the Hiphen-Planet partnership set to enhance satellite solutions for smart agriculture (0)
- Assessing lignocellulosic biomass production from crop residues in the European Union: Modelling, analysis of the current scenario and drivers of interannual variability (0)
- Assimilation of Earth Observation Data Over Cropland and Grassland Sites into a Simple GPP Model (0)
- Combining hectometric and decametric satellite observations to provide near real time decametric FAPAR product (0)
- DJI Mavic 3M – A revolution for drone phenotyping? (0)
- Ear Density Estimation from High Resolution RGB Imagery using Deep Learning Technique (0)
- Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution (0)
- Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery (0)
- Estimating leaf chlorophyll content in sugar beet canopies using millimeter- to centimeter-scale reflectance imagery (0)
- Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model (0)
- Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops (0)
- FASPECT: A model of leaf optical properties accounting for the differences between upper and lower faces (0)
- Global Wheat Challenge – Episode 1 (0)
- Global Wheat Challenge – Episode 10 (0)
- Global Wheat Challenge – Episode 2 (0)
- Global Wheat Challenge – Episode 3 (0)
- Global Wheat Challenge – Episode 4 (0)
- Global Wheat Challenge – Episode 5 (0)
- Global Wheat Challenge – Episode 6 (0)
- Global Wheat Challenge – Episode 7 (0)
- Global Wheat Challenge – Episode 8 (0)
- Global Wheat Challenge – Episode 9 (0)
- Global Wheat Head Dataset 2021: an update to improve the benchmarking wheat head localization with more diversity (0)
- High-Throughput Measurements of Stem Characteristics to Estimate Ear Density and Above-Ground Biomass (0)
- High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates (0)
- Hiphen awarded EU grant to develop a high-throughput phenotyping solution for biorationals in arable crops (0)
- How can IOT sensors help to improve the link between farm and distribution? (0)
- How data fusion from satellite and IOT sensors can deliver value? (0)
- How Hiphen’s AI solution is supporting Moët Hennessy Champagne winemakers? (0)
- How to access your UAV flight plan checklist for crop measurements ? (0)
- How to automate plant phenotyping data processing with Cloverfield? (0)
- How to get the most value from UAV plant phenotyping? (0)
- How to implement drone flights for plant phenotyping projects? (0)
- How to improve wheat head counting? (0)
- Impact of the reproductive organs on crop BRDF as observed from a UAV (0)
- Is the drone industry reaching maturity for plant phenotyping? (0)
- Leaf-rolling in Maize Crops: From Leaf Scoring to Canopy-level Measurements for Phenotyping (0)
- Modeling the spatial distribution of plants on the row for wheat crops: Consequences on the green fraction at the canopy level (0)
- Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57 (0)
- Our bespoke image solutions process (0)
- Our Image Analytical Solutions for Agriculture Overview (0)
- Our solution to amplify your plant phenotyping game: Cloverfield (0)
- Our vision of agricultural imagery solutions (0)
- Phenotyping Project Manager (0)
- Plant detection and counting from high-resolution RGB images acquired from UAVs: comparison between deep-learning and handcrafted methods (0)
- Review of Indirect Optical Measurements of Leaf Area Index: Recent Advances, Challenges, and Perspectives (0)
- Scoring cercospora leaf spot on sugar beet: comparison of UGV and UAV phenotyping systems (0)
- Team profile – Alexis Comar (0)
- Team profile – Fabien Miart (0)
- Team profile – Jérémy Labrosse (0)
- Team profile – JinYi Wu (0)
- Team profile – Joss Gillet (0)
- Team profile – Lee West (0)
- Team profile – Rafael Benicio (0)
- Team profile – Rihanna McAneny (0)
- The Exceptional 2018 European Water Seesaw Calls for Action on Adaptation (0)
- The top 5 mistakes to avoid while flying a drone for agriculture (0)
- Toward Standardization of Vegetation Indices (0)
- Using 3D Point Clouds Derived from UAV RGB Imagery to Describe Vineyard 3D Macro- Structure (0)
- Vegetation Indices Basics (SR – NDVI – PRI) (0)
- Vegetation Indices for Chlorophyll (CI – MTCI – NDRE – ND705 – ND550 – mNDblue) (1)
- Webinar – Introducing the Hiphen-Planet satellite solution for field monitoring (0)
- Webinar: introducing the Hiphen-Planet satellite solution for field monitoring (0)
- What is a phenotyping trait? (0)
- What is plant phenotyping? (0)
- What is the Hiphen Academy? (0)
- What is UMT CAPTE ? (0)
- What makes DJI UAV (drone) systems well suited for crop monitoring ? (0)
- Which plant phenotyping traits can we compute using UAV (drone) ? (0)
- Which remote sensing technology is used for plant phenotyping ? (0)
Projects
- Can we assess fusarium detection on wheat?
- Can we assess if light interception influence your plant yield?
- Can we assess plant maturity in breeding nurseries?
- Can we assess the canopy area precisely (in cm2) per microplot?
- Can we assess the performance of your microplots on any given dates?
- Can we assess the quality of all your trials at an early stage?
- Can we automate a plant phenotyping pipeline for plane data acquisition?
- Can we automate plant counting?
- Can we automatically detect wheat phenological stages?
- Can we automatically predict the flowering date to inform your harvest logistics?
- Can we clearly specify the volume of each plant in a trial? (in cm3)
- Can we efficiently estimate wheat head density?
- Can we estimate the flowering intensity per microplot?
- Can we evaluate the presence of disease such as Botrytis cinerea?
- Can we evaluate trial sites affected by water stress?
- Can we help you to detect the size and assess the plant organs?
- Can we help you to identify the fields where you have to intervene in priority?
- Can we help you to precisely identify and automate the positioning of sampling spot?
- Can we help you to predict yield at an early stage?
- Can we help you to quantify disease infestation (Cercospora) on sugar beet?
- Can we measure plant gaps to assess the quality of your microplots?
- Can we measure temperature variations among the microplots within your trial?
- Can we model plant early vigor?
- Can we model plant senescence?
- Can we monitor the development of salad fields to best estimate harvest readiness?
- Can we monitor the performance of your microplots through time?
- Can we rank the genotypes by performance?
- Can we speed up plant height measurements?
- Can we spot outliers among your microplots to eliminate any defects?
- Can we track through time the performance of your genotypes plant by plant?
- Is it possible to automate the detection of plant lodging per microplot?