Smart Farming Together with Seeed Studio Edge Controller and reTerminal DM
The greenhouse and poultry farming can use sensors to monitor and control environmental parameters for
smart farming
Build and Deploy Your Smart Farming Project in Days (versus Months) with Seeed SenseCAP Products and Machinechat Ready-to-Use IoT Software
System integrators and IoT developers can dramatically reduce time, resources, and costs in developing and
FarmBeats for Students by Microsoft & Seeed: Smart Agriculture Education Kit for Individuals, Schools, Local Communities, and SDGs
Through collaborating with FFA and Seeed, Microsoft developed “FarmBeats for Students Program” to facilitate technological empowerment of young people to learn about AI, Machine learning, and IoT in agriculture. This affordable, hands-on and learning-by-doing education can enable the students to understand automatic irrigation and fertilization applications, crop yield prediction, and pragmatic tools to tackle the world’s hunger issues. Thereby, this Program seeks to accelerate the UN’s SDGs 2, 10, 4, 1, 5, 9, 8, 6, 7, 12, 11, 13 and 17.
FarmBeats: Microsoft and Seeed’s AIoT Solution for Precision Agriculture and Technology Democratization for Local Farmers
In 2019, by partnering with Seeed Studio, Microsoft developed an AIoT solution for local farmers – “FarmBeats” Project. The Project has been designed to deliver Internet connectivity and to make precision farming to local farmers at affordable costs. More specifically, Seeed’s Sensor Box was developed and used for the Project to monitor various environmental conditions that affect the crop growth. As a result, agricultural productivity rate has been increased, while overall maintenance costs and human labor inputs have been minimized. FarmBeats Project has been recognized to help accelerate the UN’s SDGs 2, 9, 12, 5, 6, 7, 8, 4, 13, 17, 1 and 10.
IIoT Solution for Smart Agriculture: SenseCAP LoRaWAN’s Environmental Monitoring for Sustainable Durian Farming in Malaysia
Seeed’s SenseCAP LoRaWAN devices enabled IIoT solution in Malaysia’s durian farming sector, tracking environmental growth conditions of the sensitive tropical fruit. The Project was successful in drastically decreasing the amount of human labor and natural resources, and predicting suitable irrigation patterns and pest control periods. Therefore, this Project directly and indirectly contributes to the UN’s SDGs 9, 12, 8, 2, 13, 16, 6, 7, 11 and 17.
SenseCAP LoRaWAN Innovation for SDGs: Sweet Melons Grown at Smart Agriculture Demonstration Park in Beihai, China
Smart Agriculture Demonstration Park Project deployed Seeed’s SenseCAP LoRaWAN gateway and sensors for precision agriculture in a greenhouse of sweet melons, which is located in Beihai City of Southern China. Through the IIoT solution, improved resource efficiency and economic productivity have been observed, through which the Project seeks to achieve the UN’s SDGs 13, 3, 17, 10, 11, 9, 8, 2, 1, 4, 6, 7 and 12.
SenseCAP LoRaWAN IIoT Solutions for OPEN Global IoT Education Project for Future Jobs and Resilient Livelihoods
In the OPEN Global IoT Education Project, SenseCAP LoRaWAN IIoT solution has been deployed in order to help solve diverse local challenges for children and local communities towards a sustainable and resilient world. Through their participation, they are self-empowered to learn specific skills to prepare for newly emerging jobs in the future. In this way, the Project aims to achieve the UN’s SDGs 4, 5, 12, 11, 13, 9, 8, 17, 6, 7, 14, 15, 2 and 1.
Smart Tea Plantation in Mengding Mountain Enabled by SenseCAP LoRaWAN to Augment Resource Efficiency and Customer Trust for SDGs
SenseCAP LoRaWAN gateway and sensors were deployed in the IoTea Project to monitor crucial environmental data needed to ensure the optimal tea quality in Ya’an of Southwest China. Through this Project, the overall tea plantation management costs have been lowered, economic yields have been increased, and the tea plantation’s brand image has been upgraded to attract customers who care about food traceability and sustainability. By doing so, the IoTea Project achieves the UN’s SDGs 8, 9, 12, 10, 11, 1, 5, 6, 7, 2, 4, 13, 15, 16 and 17.
SenseCAP LoRaWAN in Triticale Farming: Precision Agriculture and Sustainable Livelihood Development in Dingzhou, Northern China
Beishao Triticale Field Project elaborates on a deployment scenario of SenseCAP LoRaWAN gateway and sensors for smart agriculture solutions in a triticale field of Dingzhou City in Northern China. This will advance resource-efficiency, environmental traceability, and sustainable technological applications on the field. As a result, this will facilitate self-empowerment of the farmers to manage their triticale fields more precisely by grasping the crop’s conditions and needs with less labor inputs, and later gain higher yields. Overall, this Project contributes to the UN’s SDGs 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12 and 17.
Welcome to the Future: SenseCAP LoRaWAN Devices Deployed for Poultry Farming Accelerate Sustainable Animal Husbandry
Smart Poultry Farming Project depicts how SenseCAP LoRaWAN gateway and sensors are transforming the traditional animal husbandry industry sustainably, by harnessing IoT environmental sensing and monitoring for environmental variables of poultry farms. This Project seeks to advance the UN’s SDGs 2, 3, 4, 8, 6, 7, 9, 12, 13 and 17.
Smart Greenhouse for Sustainable Agriculture: SenseCAP LoRaWAN Enables Tropical Fruit Cultivation in Northern China
Laiwu Tropical Fruit Cultivation Project portrays a successful case of our SenseCAP LoRaWAN series applied to smart greenhouse farming of tropical fruits in Northern China. Through this Project, Northern farmers are equipped with new knowledge on automated greenhouse control, and the value of precision farming. By doing so, the Project can positively influence the UN’s SDGs 10, 2, 1, 8, 9, 12, 11, 16, 13 and 17.
Field-Ready IIoT Solution: Precision Animal Husbandry Enabled by Seeed’s SenseCAP LoRaWAN Hardwares and Machinechat’s JEDI One Software
In order to accelerate precision farming to maintain an optimal level of environmental conditions tailored to the growth and health of livestock in multiple housing sites, Seeed and Machinechat collaborated to make a ready-to-be-deployed IIoT solution, that measures, transfers, aggregates, and visualizes the real-time environmental data of temperature, humidity, light intensity, and air quality.