Precise, Global Temperature Data for a Growing Planet
Sector: Water Supply and Storage • Location: Germany
Source: EU Funding & Tenders Portal
Food security is an urgent global challenge. To feed a population of 10bn by 2050, we must produce 50% more food despite water scarcity, loss of arable land, & climate change. Lack of water (water stress) severely reduces crop yields. The inability to measure water stress accurately leads to unpredictable and low-yielding harvests, impacting the entire food supply chain from farm viability to food
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Food security is an urgent global challenge. To feed a population of 10bn by 2050, we must produce 50% more food despite water scarcity, loss of arable land, & climate change. Lack of water (water stress) severely reduces crop yields. The inability to measure water stress accurately leads to unpredictable and low-yielding harvests, impacting the entire food supply chain from farm viability to food prices. Current crop health data is not fit for purpose, leading to ineffective irrigation consuming 70% of global freshwater. ConstellR will provide the first high-precision temperature data at field level, daily & globally from a uniquely scalable constellation of microsatellites (HiVE), enabling water stress detection in time to prevent yield loss. The EIC project will develop & launch an MVP constellation, generating the data required to increase global food production by up to 4%, reduce agricultural water waste by up to 180 gigatons, & avoid up to 94M tons of CO2 emissions. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
