Inert Farming
We are Team Alpha Byte a group of dynamic innovators, pursuing B.Tech (CSE) from Galgotias University, Greater Noida. We participated in HackwithDelhi and from here we got to know about Hive.
About Project
Problem Statement:
World cereal equivalent (CE) food demand is projected to be around 10,094 million tons in 2030 and 14,886 million tons in 2050, while its production is projected to be 10,120 million tons in 2030 and 15,970 million tons in 2050 having a marginal surplus.
India and China are capturing large share of global food demand.
Solution
We have created a project on Smart Agriculture by deploying
AI/ML. Our project aims to revolutionize how farmers approach crop management and market dynamics by integrating advanced artificial intelligence and machine learning solutions.
It addresses key challenges in modern farming, offering a comprehensive toolset that empowers farmers to make data-driven decisions, maximize yields, and achieve greater economic success.
Front Look
Disease Check :
Marketing Section:
Crop Prediction:
Fertilizer Prediction:
Price Prediction:
Video Presentation:
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