This article details a 30‑day AI‑driven shrimp‑farming project built on Alibaba Cloud's Bailei platform, describing data sources, system architecture, model development, daily performance metrics, cost savings, and validation results that demonstrate how AI can replace expert judgment in aquaculture.
Programmer Xiao Meng details the design and implementation of a smart agriculture platform that uses a WeChat mini‑program for remote hardware control, a web‑based dashboard for real‑time monitoring, and a full stack of Spring Boot, Vue, UniApp, MQTT and TDengine technologies.
The Chinese "Grain Shield" project, led by Beijing University of Posts and Telecommunications, uses AI, deep‑learning and Huawei Cloud services to automatically detect pests and mold in grain silos, dramatically cutting post‑harvest loss, reducing chemical use, and demonstrating a scalable smart‑agriculture solution across dozens of provinces.
TencentOS tiny is an open‑source, lightweight IoT RTOS supporting over 50 platforms and protocols like MQTT, CoAP, and LoRaWAN, offering a minimal kernel, low‑power frameworks, OTA, and security features, demonstrated through smart‑cabinet and smart‑agriculture solutions, a STM32L4 development board workflow, AT‑adapted networking, and seamless Tencent Cloud integration for rapid, low‑cost product deployment.
This article explains how a NB‑IoT‑enabled smart collar, dubbed “Little Shepherd,” replaces ZigBee, streams real‑time health and breeding data to a cloud platform, helping dairy farms monitor cows, avoid missed estrus periods, and improve overall livestock management efficiency.
By 2030 the global population will exceed 8.5 billion, prompting a shift to smart agriculture that leverages IoT, cloud platforms, low‑power networks, and data analytics to boost yields, conserve water, reduce costs, and create new revenue streams for telecom operators and related enterprises.
