INSPIRATION
Incorporating artificial intelligence in agriculture provides farmers with real-time insights from their field, allowing them to be proactive. AI offers predictive insights for forecasting weather data, crop yield, and prices, thereby helping farmers make informed decisions. Chatbots, like a farmers’ Alexa, give
suggestions and input recommendations to farmers. AI and ML algorithms automate anomaly and disease recognition in plants and livestock. This allows timely detection and corrective response if required. Biotechnology also deploys ML algorithms for gene selection recommendations. Further, AI
provides easy access to finance to creditors who are denied mainstream credit. Startups are exploiting AI in several ways to come up with innovative solutions that improve overall agricultural quality. For example, harvest quality vision (HQV) is a recent agritech innovation that scans and determines the
quality and quantity of fruits and vegetables.
US-based startup Arwa Intelligence leverages artificial intelligence to provide customized recommendations for crop planning. The startup creates a software interface that aggregates all farm data to perform detailed analysis on genetics,soil fertility, climate, harvest, and yield. They offer intelligent solutions of soil and climate classification specific to the crops grown in the field. Moreover, they facilitate harvest analytics by generating farm-level report cards that enable farmers to identify the limiting factors and analyze the performance of field inputs on the crops.Ask Attis is a Belgian startup that offers plant disease detection through their app, Planticus. Powered by artificial intelligence, their mobile application identifies diseases and detects pests in plants. The startup ensures food security by developing identification technologies and crop monitoring solutions that enable farmers to secure their crops before
possible damage occurs .
