CSIRO uses multispectral, hyperspectral and LiDAR drones to examine cotton traits
Australian cotton researchers are combining aerial sensing methods to distinguish crop performance and disease stress that ordinary photographs can miss.
Source CSIRO
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305 stories matching “Research”.
Tunisia tests faster satellite inputs for more timely irrigation advice
A Jendouba pilot compares daily 10-metre evapotranspiration data with a coarser product, exposing both operational benefits and validation gaps.
Source FAO WaPOR
Brazilian grape trials combine plant stress, soil and weather for irrigation
Semear Digital is testing irrigation decisions based on crop water stress, with vineyard results in São Paulo and expansion into pineapple production.
Source Semear Digital / Embrapa
Ethiopia embeds site-specific fertilizer guidance in national extension
CGIAR reports that the HaFAS advisory system reached 49,000 Ethiopian farmers in 2025, combining field evidence, digital delivery and extension support.
Source CGIAR
Kenya turns rescued maize trial data into field-specific fertilizer advice
KALRO and CGIAR partners are combining historical trials and machine learning to develop maize nutrient recommendations adapted to local conditions.
Source Alliance of Bioversity International and CIAT
New Zealand dairy trial measures the trade-off in reducing nitrogen losses
Lincoln University reports lower estimated nitrate losses from a combined management strategy, alongside an eight-percent profit reduction in the trial.
Source Lincoln University
India develops the data foundations for localized AI farm-weather advice
An ICRISAT update describes work under Mission Mausam to connect weather expertise, agronomic data and AI workflows for farmer decision support.
Source ICRISAT via CGSpace
Cornell-led orchard robotics effort secures a four-year, $7.5 million USDA grant
A Cornell-led collaboration will develop robotic orchard operations while examining affordability and adoption, supported by a new USDA Specialty Crop Research Initiative award.
Source Cornell Chronicle
SIU develops a ground robot to image soybean disease beneath the canopy
Southern Illinois University researchers are building a mobile imaging and AI workflow for soybean disease monitoring after aerial cameras missed important views beneath leaves.
Source SIU News
USDA links robotic image collection and field cameras through its DASH platform
USDA’s Digital Agricultural Systems Hub combines crop imagery, machine-learning resources and deployable cameras to help move agricultural computer vision from research into practical field tools.
Source USDA ARS — Scientific Discoveries
Cambridge's Tessera tests satellite crop mapping on Senegal's smallholder farms
A study reports 84% crop-classification accuracy using an open-source satellite model, while highlighting limitations in ground data and mixed-crop evaluation.
Source University of Cambridge
NASA connects satellite observations with Texas farmers facing severe water constraints
NASA’s October report links Landsat observations, farmer experience and recent lake-monitoring research to urgent irrigation and land-management decisions in the Texas High Plains.
Source NASA Earth Observatory