Google introduces an AI-powered agricultural information platform for farmers in India that will provide guidance on preparing for droughts and using irrigation
Google’s Precision Agriculture Weapon: In order to help farmers and increase crop yields, Google will launch the Agricultural Landscape Understanding (ALU) tool. This instrument, which is restricted in supply, aims to make agricultural operations more data-driven.
Google’s AI Platform to Revolutionize Indian Agriculture
According to Google, the new AI platform would provide detailed information, which is crucial given the state of Indian agriculture. High-resolution satellite images, machine learning for delineating field borders, and data on market accessibility, irrigation, and drought readiness, among other things, will all be included.
At the Bengaluru-based Google I/O Connect, the firm made an announcement about its latest releases.
A Collaborative Effort to Transform Indian Agriculture
Additionally, the Agricultural Landscape Understanding tool will provide comprehensive details on crop kind, field size, water availability, and market and road accessibility. With assistance from the Anthro Krishi team and India’s digital AgriStack, it is constructed on Google Cloud. The Government of India, IIT Bombay, Team-Up, Ninjacart, and Skymet are already using the agriculture landscape data.
AI Solves Farmer Problems with Remote Sensing
According to Google, the application uses artificial intelligence and remote sensing to monitor specific agricultural areas throughout the nation, thereby enhancing yields and tackling the multitude of issues encountered by farmers, from obtaining finance and subsidies to improving yields.
In addition to Google, the government has increased agricultural production via the application of artificial intelligence. To help farmers with their inquiries regarding the PM Kisan Samman Nidhi plan and other government initiatives, the government launched Kisan-e-Mitra, an AI-powered chatbot available in different languages.
NPSS Uses AI and Machine Learning to Protect Crops
To address the problem of crops being lost to pests, the National Pest Surveillance System (NPSS) was established. The technology recognizes agricultural problems using AI and machine learning. A PIB study claims that field photos and crop health assessment data for rice and wheat are used by the government to do AI analytics.
