Startup Name |
AgSpert |
Founding Year |
|
Business Category |
Agritech |
Startup Stage |
Pre-launch |
Type of Entity |
Private Limited (under processing) |
Website |
www.agspert.com |
Startup’s Objective |
AgSpert strives to leverage deep technology, big data, and smart robotics to optimize in-farm productivity and help farmers grow more with less. |
Market Need |
There is a need to curb labour scarcity and labour price fluctuations for in-farm operations. Furthermore, the lack of phenotype data to optimize farm inputs results in absence of accurate yield data-sets for better crop insurance. Lastly, the need for continuous physical presence for farm surveillance and monitoring becomes a headache. |
Product/Service description |
Agspert services and products include a wide range, such as UAV and smart robot services for crop spraying, scouting and planting applications, computer vision based in-farm phenotyping, early mapping of disease/pest attack patterns, full crop cycle data-set,machine learning based yield prediction and real-time plant environment data collection systems with open-source cloud processing. |
Customers/Users |
Govt/private crop insurance firms – R&D in agri-institutes, FPOs/FCOs. Agripreneurs (25-45 yr) – Small tea/potato growers -Livestock farms respectfully. |
Revenue Model |
1. Selling of individual products – A product cost margin of at-least 50%, excluding overhead. |
Current Traction |
The startup has successfully completed 1,000 images of tea and potato, 100 acres of test plots drone sprayed for potato farming, 2 field product demos to 100 farmers and 2 experimental plots for full crop cycle data analytics. |
Founders |
Siddhart S Bora |