Expert System for Fertilization in Farmland

Expert System for Fertilization in Farmland

In the Gao furnace village group of Xinshizhen, Leiyang City, the contracted land by Cao Jianming showcases the charm of modern agricultural technology. Even fertilization has adopted a specialized soil testing formula fertilization mobile expert system, which is precise, efficient, energy-saving, and environmentally friendly. According to reports, this precise fertilization system is called the “Hunan … Read more

Nutrient Expert System Enhances Radish Nutrient Efficiency in North China

Nutrient Expert System Enhances Radish Nutrient Efficiency in North China

In the production of radishes in North China, excessive fertilization has led to low nutrient utilization rates and serious environmental issues. The Nutrient Expert (NE) is a science-based, field-oriented fertilizer decision support system, but there are few reports evaluating the applicability of the radish nutrient expert system in the field. Recently, the research team led … Read more

Research Progress and Prospects of Crop Pest Image Recognition

Research Progress and Prospects of Crop Pest Image Recognition

2018 Issue 34 Authors: Zhang Meng, Qian Rong, Zhu Jingbo, Zhang Liping, Li Runmei, Dong Wei* Affiliation: Anhui Academy of Agricultural Sciences, Institute of Agricultural Economics and Information Introduction: Zhang Meng (1991—), male, from Bozhou, Anhui, research intern, master’s degree, engaged in image recognition research. *Corresponding author, associate researcher, master’s degree, engaged in plant protection … Read more

Using Computer Vision To Identify Lettuce: Innovative Agri-Tech

Using Computer Vision To Identify Lettuce: Innovative Agri-Tech

Author | Zhang Junbao How are “computer vision recognition models” and “lettuce” connected? The LettUs Grow team, a participant in the 3rd Duoduo Agricultural Technology Competition, provided a solution: using computer vision recognition models to identify and calculate the projection area of lettuce, determining crop status and density change times and values based on leaf … Read more

RAG vs Fine-Tuning: A Guide for Domain-Specific AI Models

RAG vs Fine-Tuning: A Guide for Domain-Specific AI Models

Machine Heart Report Editor: Rome Retrieval-Augmented Generation (RAG) and Fine-tuning are two common methods to enhance the performance of large language models. So, which method is better? Which is more efficient when building applications in specific domains? This paper from Microsoft serves as a reference for your choice. When constructing large language model applications, there … Read more