Sparrow Tongue Cloud Rare Medi↑σcinal Fungi

Introduction to Digital Co☆©ntrol System

Digital Control System

Artificial intelligence, smart agri‌≈₩✔culture, and the Internet of Things  ®in agriculture

The globalization trend of €₹the digital economy is uns ≤toppable. In the field of agricultu® →re, digitalization is mainly re↔↓πflected in the digital agriculture t±<echnology represented by five core mod•£♣↔ules: agricultural InΩ¶€₩ternet of Things, agricultural big≠€♦ data, precision agr∑≠←↓iculture, smart agriculture, and ♣♦ ¶artificial intelligence♣↕£.

The "Sparrow Tongue Cloud&q♣ uot; rare edible and medicinal σ≈♠mushroom digital control system, indepφ&endently designed and dσλeveloped by Qingdao Bencaojin≥$"≥g Agricultural Technology Co., Lt↔Ωπ↔d. on behalf of Sparrow Tonger (Shanα€"dong) Digital Technology Co., Ltd., i<φs becoming increasingl↓©y mature, mainly including the fol÷®♦<lowing aspects:

NO.1 Hardware equipment imp≈σφrovement

The hardware equipment required‌ ✘← for the digital con§≥≈≤trol system of rare edible and medicin λal mushrooms is basically the same as tε✔hat required for traditiλ ✘onal edible mushroom digital cont♣‌ ✔rol systems, mainly including sensing<$÷ equipment and monitoring equipmen​≈↑t.

The sensing hardware equipment ♣←mainly includes spat↑∏←•ial detection equipmeσ ✔©nt such as temperature andε" humidity sensors, light sensor↔→&☆s, wind speed sensor"¥>​s, carbon dioxide sensorλ∏ ‌s, as well as cultivation medium€β detection equipment for detectiσ∞ ®ng the growth status of myceliu‍"γm inside the rod.

On the basis of various data dete≥€←ction, the monitoring ★≤ §equipment realizes visualization anΩ₽‌Ωd controllability th→γφrough remote monitoring, π×α★mainly through Internet"♥≥ connection, to achieve remote mo™"nitoring and management.

NO.2 Intelligent Control System

Artificial intelligence techno₽ ₹logy is mainly reflected in intΩ¥elligent control systems, which uλ se automated equipment to setσΩ technical parameters based≥§₽ on different bacterial strains, im© ¶​plement precise mana‌ ♣gement and early warning. §$And it can automatically control₽ε←¥ and adjust according to↑π≠₽ environmental monitoring data, achieβ≠£ving precise and timely managemα↔ent of various managem₹εent parameters.

NO.3 Artificial Intelligence Comput"φ★ing

The algorithm of artificial intelligenc ≤§e is the biggest difference between"∞✔ the digital control system o↕Ω¶f rare edible and medicδ∏λinal mushrooms and the traditional digi↑≥↕tal control system oε←f edible mushrooms. Intelligent deciπ★<±sion-making is reflected i ¥n two aspects.

Intelligent correcti¶λon of planting parameters

The intelligent correction system fo☆↔∑φr planting parameters coll®≠ects and analyzes a large amoun↔σ®εt of data, and uses machine learninδ'↓g and data mining algorithms ₽σ&to continuously correct and♦λ♠ improve planting paramet★✔$©ers based on the diff♥≈erent growth states of the mus≥✔≠≤hroom rods. Gradually, moreφ  accurate models and algorithmsβ♦€ are established, whiΩ∞÷ch can optimize the planting process a€∞nd management decisions oε♣f rare edible and medicinal fungi i↕±ε∏n a targeted manner.

Planting parameter matching

The planting parameter€≈♦ matching system determ∑₹ines the activity of hyphae by detect★≥ing the data inside the m ≠≤ushroom rod medium, and deduces÷♦ it in reverse. Through a certaγ₽×in model and algorithm,®→§ it forms planting parameters corresp♣♠≤onding to different mδ®εycelial growth conditio✘Ω₽ns. "There is no fixed nu±♣mber", which means tσ ™♥hat various indicators and parameters∑β♦< are not the same as trad♥>itional digital planting of edible mu↓γshrooms. After setting fixedφ• numerical parameters, they are ex¶∏✔♦ecuted unchanged, But rather a value t®¶hat can be automatically ad>±justed and changed at any time.

The various parameters in the digital c$★<ontrol system for rare☆•★σ edible and medicinal mushroom±αs in Quetongue Cloud are not i¶↓solated values, but interconneσ‍cted, interactive, and matched. The cπ♠★onstantly changing &quσ♦×÷ot;variable" indicator param®™eters on the surface all imply a dat♣✘a algorithm model and related indicator"×↔→s, and only such a digital c™♦₩ontrol system is the true digital agri§₹±culture