Year: 2025
Type: article
Abstract: Artificial neuron networks have natural structure for machine learning and applying the methods of philosophy behind quantum physics, which can be summarized into three points, realness, oneness and interaction, artificial neuron networks can learn to know objectives in real world, which could be anything material no matter a proton or an apple, with a bijection between the objective and its pattern in the artificial neural networks, both the objective and its pattern must be one respectively, therefore it can know things without any mistake and even can’t be cheated by a fake objective which pretends to be the real one. Such artificial neural networks combined with artificial intelligence including machine learning, we could make robot peasant to do elaborate works in organic farming, to manipulate which is simple as doing electronic sport, and produce more organic food without lowering their quality.
Author: Jiayi Zhang
Institution: Lanzhou University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
OpenAlex ID: W4408118834