Ms. Li Wei, the board chairman of Goke, shared her thoughts in China Sheep Industry Conference forum

2018-11-16 08:58:00
goke-admin
Original
2637

The China Sheep Industry Develop Conference was held in Lankao, Henan on Oct. 10, 2018. Goke was invited to the conference as a key company in Chinese husbandry production chain, with other participants from government, academy, corporations, farms, and related areas.


Ms. Li Wei provided her thoughts on the sustainable development of milk goat and milk sheep industry system in combination with Goke’s 16-year service experience.



Ms. Li suggested that a development model of milk goat business upgrading from electrical and mechanical to informatized and intelligent without repeating the road of dairy business 20 years age. In future, farms implement big data and IoT to upgrade their business and realize accurate and digital management. Efficient social third parties can use data to improve farm profit and competence.

Goke starts management from fundamental equipment (goat farm design, TMR processing, weighing and sorting system, lamb feeding robot, feed delivery robot, bedding robot, milking robot, manure cleaning system, intelligent environment control system, etc.) and lets farms recover intelligent upgrade cost in 2 years. Data collected from fundamental equipment are extracted and analyzed to provide technical service to farms and use them as financial credit checking proof to enhance farm efficiency and lower financing cost and risk.

During the conference exhibition, Goke showcased the new technology, products, concepts and services that they developed on smart goat industry to the participants and collected feedbacks from them.

Ms. Li Wei introduced Goke’s comprehensive services and relative equipment to Mr. Li Xirong from husbandry association, Mr. Du Lixin from sheep association, government officials from Henan Department of husbandry and experts.

Mr. Jin Hai, chief scientist of National Meat Goat Industry, came to visit Goke’s booth.

Mr. Li from Huachi husbandry department and Mr. Zhao from Huan husbandry department came to visit Goke’s booth. 

Visitors from HeiSha, Zhongtian goat industry, and QingqingCaoyuan.


During the exhibition, Ms. Li Wei introduced her considerations on goat industry chain. “Develop smart goat industry, promote transformation and enhance industry competence” has always been the key concept of Goke’s services. In the last 16 years, Goke formed a complete product and service chain to cover large-scale farming, production chain building, optimal breeding, health maintaining, precise nutrition, equipment, operation, ecology protection, slaughter and processing, tracking, etc.



In breed selection and feature measuring, Goke developed breeding goat managing system and goat production feature measuring platform in joint effort with research institutes. These systems apply management, analysis and prediction on goat identifying, feature measuring, pedigree managing, breeding model developing, purebred breeding.


Targeting different geographical areas and different herd construction, Goke developed precision feeding equipment and software separately for TMR feeding and pellet feeding, with enhanced feeding efficiency and lower cost.


Big-data oriented weighing system tracks every sheep’s growing condition. It measures breeding sheep production feature measuring and extracts data to reflect hidden problem.

Rotary milking parlor with concentrate feeding system can highly increase milking efficiency.

Recently, Goke is building a predictive alarm system of breeding livestock and poultry across different species, a decision making system and a public service system for fundamental farms, contributing to the informatization of livestock and poultry breeding and supporting Chinese animal husbandry.

    Article Category
    Contact Us
    Phone : +86 10 56299299
    Email : info@gokeagri.com
    Wechat : gokeagri
    Address : Building 28, Max Teda Technology Park,Shunyi District,Beijing
    SQL query : 79 times, memory useage : 10.00MB, PHP executed time : 0.8 seconds。