The world needs to sustainably grow more food to feed the growing population of the planet. Data-driven agriculture is a promising technique that can help farmers be more productive, reduce costs, and enable adoption of sustainable agricultural practices. However, the adoption of data-driven agriculture is limited by a lack of affordable technologies, for broadband, sensing, imaging, and insights. In this article, we present an overview of Project FarmBeats, a research project that started in 2014 to increase the adoption of data-driven agricultural practices. We provide an overview of the various components of the FarmBeats architecture, and details of the hardware innovations.<\/p>\n","protected":false},"excerpt":{"rendered":"
The world needs to sustainably grow more food to feed the growing population of the planet. Data-driven agriculture is a promising technique that can help farmers be more productive, reduce costs, and enable adoption of sustainable agricultural practices. However, the adoption of data-driven agriculture is limited by a lack of affordable technologies, for broadband, sensing, […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-881352","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2022-1-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"IEEE Micro","msr_volume":"42","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"1","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2022\/09\/Democratizing_Data-Driven_Agriculture_Using_Affordable_Hardware.pdf","id":"881355","title":"democratizing_data-driven_agriculture_using_affordable_hardware","label_id":"243109","label":0}],"msr_related_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/ieeexplore.ieee.org\/document\/9705193","label_id":"243118","label":0}],"msr_attachments":[{"id":881355,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2022\/09\/Democratizing_Data-Driven_Agriculture_Using_Affordable_Hardware.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Ranveer Chandra","user_id":33344,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ranveer Chandra"},{"type":"user_nicename","value":"Manohar Swaminathan","user_id":35356,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Manohar Swaminathan"},{"type":"user_nicename","value":"Tusher Chakraborty","user_id":40210,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Tusher Chakraborty"},{"type":"text","value":"Jian Ding","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Zerina Kapetanovic","user_id":42303,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Zerina Kapetanovic"},{"type":"user_nicename","value":"Peeyush Kumar","user_id":39892,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Peeyush Kumar"},{"type":"text","value":"Deepak Vasisht","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199562,199565],"msr_event":[],"msr_group":[714067],"msr_project":[924843,881235,239387],"publication":[],"video":[],"download":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":924843,"post_title":"Micro-climate Predictions","post_name":"micro-climate-predictions","post_type":"msr-project","post_date":"2023-03-03 18:33:49","post_modified":"2024-04-03 09:59:40","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/micro-climate-predictions\/","post_excerpt":"Addressing micro-climate prediction workflows for industries and communities Knowledge of micro-climate and micro-climate predictions are of importance in agriculture, forestry, renewable energy systems, architecture, urban design, ecology conservation, maritime and many other domains. Access to high-quality micro-climate predictions is difficult due to high degree of variability across regions and stochastic local effects. This project addresses these issues by developing technology that enable systems workflows relying on micro-climate predictions.","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/924843"}]}},{"ID":881235,"post_title":"Project FarmVibes","post_name":"project-farmvibes","post_type":"msr-project","post_date":"2022-10-06 08:00:00","post_modified":"2024-07-29 09:55:45","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-farmvibes\/","post_excerpt":"Democratizing digital tools for sustainable agriculture As one of the biggest contributors to climate change, agriculture, along with land use degradation and deforestation, account for about a quarter of the global GHG emissions and consumes about 70% of the world\u2019s freshwater resources. Agriculture is also amongst the most impacted by climate change. Farmers depend on predictable weather for their farm management practices, and unexpected weather events, e.g., high heat, floods, etc. leaves them unprepared to…","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/881235"}]}},{"ID":239387,"post_title":"FarmBeats: AI, Edge & IoT for Agriculture","post_name":"farmbeats-iot-agriculture","post_type":"msr-project","post_date":"2016-06-16 20:10:17","post_modified":"2024-08-29 22:15:59","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/farmbeats-iot-agriculture\/","post_excerpt":"Our goal is to enable data-driven farming. We believe that data, coupled with the farmer's knowledge and intuition about his or her farm, can help increase farm productivity, and also help reduce costs. 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