{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T09:10:07Z","timestamp":1779009007663,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":65,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T00:00:00Z","timestamp":1778371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/legalcode"}],"funder":[{"name":"financial assistance award approved by the Economic Development Administration, Farms Food Future","award":["N\\\/A"],"award-info":[{"award-number":["N\\\/A"]}]},{"name":"UC Merced Fall 2023 Climate Action Seed Competition Grant","award":["N\\\/A"],"award-info":[{"award-number":["N\\\/A"]}]},{"name":"Ericsson Endowed Chair fund","award":["N\\\/A"],"award-info":[{"award-number":["N\\\/A"]}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-2312715"],"award-info":[{"award-number":["CNS-2312715"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,5,11]]},"DOI":"10.1145\/3774906.3800499","type":"proceedings-article","created":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T14:20:14Z","timestamp":1778250014000},"page":"1208-1223","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SoilX: Calibration-Free Comprehensive Soil Sensing through Contrastive Cross-Component Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8248-4894","authenticated-orcid":false,"given":"Kang","family":"Yang","sequence":"first","affiliation":[{"name":"University of California, Merced, Merced, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5670-5985","authenticated-orcid":false,"given":"Yuanlin","family":"Yang","sequence":"additional","affiliation":[{"name":"University of California, Merced, Merced, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2814-1166","authenticated-orcid":false,"given":"Yuning","family":"Chen","sequence":"additional","affiliation":[{"name":"University of California, Merced, Merced, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0959-5867","authenticated-orcid":false,"given":"Sikai","family":"Yang","sequence":"additional","affiliation":[{"name":"University of California, Merced, Merced, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9688-8056","authenticated-orcid":false,"given":"Xinyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of California San Diego, San Diego, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2732-6954","authenticated-orcid":false,"given":"Wan","family":"Du","sequence":"additional","affiliation":[{"name":"University of California, Merced, Merced, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,5,10]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"Juexing Wang Yuda Feng Gouree Kumbhar Guangjing Wang Qiben Yan Qingxu Jin Robert\u00a0C Ferrier Jie Xiong and Tianxing Li. SoilCares: Towards Low-Cost Soil Macronutrients and Moisture Monitoring Using RF-VNIR Sensing. In ACM MobiSys 2024.","DOI":"10.1145\/3643832.3661868"},{"key":"e_1_3_3_1_3_2","unstructured":"MarketsandMarkets. Smart Agriculture Market Size Share and Trends. https:\/\/www.marketsandmarkets.com\/Market-Reports\/smart-agriculture-market-239736790.html 2024. [Online]."},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"crossref","unstructured":"Muhammad\u00a0Shoaib Farooq Shamyla Riaz Adnan Abid Tariq Umer and Yousaf\u00a0Bin Zikria. Role of IoT Technology in Agriculture: A Systematic Literature Review. Electronics 9(2):319 2020.","DOI":"10.3390\/electronics9020319"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"YGM Galal and SM\u00a0Soliman. Soil and Water Management by Climate Smart and Precision Agriculture Systems under Arid Climate. Managing Soil Drought; CRC Press: Boca Raton FL USA 2024.","DOI":"10.1201\/b23132-11"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Jian Ding and Ranveer Chandra. Towards Low Cost Soil Sensing Using Wi-Fi. In ACM MobiCom 2019.","DOI":"10.1145\/3300061.3345440"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Ju\u00a0Wang Liqiong Chang Shourya Aggarwal Omid Abari and Srinivasan Keshav. Soil Moisture Sensing with Commodity RFID Systems. In ACM MobiSys 2020.","DOI":"10.1145\/3386901.3388940"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Zhaoxin Chang Fusang Zhang Jie Xiong Junqi Ma Beihong Jin and Daqing Zhang. Sensor-Free Soil Moisture Sensing Using Lora Signals. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 6(2):1\u201327 2022.","DOI":"10.1145\/3534608"},{"key":"e_1_3_3_1_9_2","unstructured":"Usman\u00a0Mahmood Khan and Muhammad Shahzad. Estimating Soil Moisture Using RF Signals. In ACM MobiCom 2022."},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Yuda Feng Yaxiong Xie Deepak Ganesan and Jie Xiong. LTE-Based Low-Cost and Low-Power Soil Moisture Sensing. In ACM SenSys 2022.","DOI":"10.1145\/3560905.3568525"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"Wenli Jiao Ju\u00a0Wang Yelu He Xiangdong Xi and Fuwei Wang. SoilTAG: Fine-Grained Soil Moisture Sensing Through Chipless Tags. IEEE Transactions on Mobile Computing 23(3):2153\u20132170 2023.","DOI":"10.1109\/TMC.2023.3253135"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Rong Ding Haiming Jin Dong Xiang Xiaocheng Wang Yongkui Zhang Dingman Shen Lu\u00a0Su Wentian Hao Mingyuan Tao Xinbing Wang et\u00a0al. Soil Moisture Sensing with UAV-Mounted IR-UWB Radar and Deep Learning. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 7(1):1\u201325 2023.","DOI":"10.1145\/3580867"},{"key":"e_1_3_3_1_13_2","unstructured":"Yidong Ren Wei Sun Jialuo Du Huaili Zeng Younsuk Dong Mi\u00a0Zhang Shigang Chen Yunhao Liu Tianxing Li and Zhichao Cao. Demeter: Reliable Cross-soil LPWAN with Low-cost Signal Polarization Alignment. In ACM MobiCom 2024."},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"crossref","unstructured":"Baicheng Chen John Nolan Xinyu Zhang and Wan Du. MetaSoil: Passive mmWave Metamaterial Multi-layer Soil Moisture Sensing. In ACM SenSys 2024.","DOI":"10.1145\/3666025.3699334"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Kang Yang and Wan Du. LLDPC: A Low-Density Parity-Check Coding Scheme for LoRa Networks. In ACM SenSys 2022.","DOI":"10.1145\/3560905.3568547"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Kang Yang Yuning Chen Tingruixiang Su and Wan Du. Link Quality Modeling for LoRa Networks in Orchards. In IEEE\/ACM IPSN 2023.","DOI":"10.1145\/3583120.3586969"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"E\u00a0Ben-Dor and A\u00a0Banin. Near-Infrared Analysis as a Rapid Method to Simultaneously Evaluate Several Soil Properties. Soil Science Society of America Journal 59(2):364\u2013372 1995.","DOI":"10.2136\/sssaj1995.03615995005900020014x"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"VV\u00a0Matichenkov and EA\u00a0Bocharnikova. The Relationship Between Silicon and Soil Physical and Chemical Properties. In Studies in plant science volume\u00a08 pages 209\u2013219. Elsevier 2001.","DOI":"10.1016\/S0928-3420(01)80017-3"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"crossref","unstructured":"RA\u00a0Viscarra Rossel DJJ Walvoort AB\u00a0McBratney Leslie\u00a0J Janik and JO\u00a0Skjemstad. Visible Near Infrared Mid Infrared or Combined Diffuse Reflectance Spectroscopy for Simultaneous Assessment of Various Soil Properties. Geoderma 131(1-2):59\u201375 2006.","DOI":"10.1016\/j.geoderma.2005.03.007"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Jos\u00e9\u00a0M Soriano-Disla Les\u00a0J Janik Raphael\u00a0A Viscarra\u00a0Rossel Lynne\u00a0M Macdonald and Michael\u00a0J McLaughlin. The Performance of Visible Near- and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical Chemical and Biological Properties. Applied spectroscopy reviews 49(2):139\u2013186 2014.","DOI":"10.1080\/05704928.2013.811081"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"WJ\u00a0Rawls Ya\u00a0A Pachepsky JC\u00a0Ritchie TM\u00a0Sobecki and H\u00a0Bloodworth. Effect of Soil Organic Carbon on Soil Water Retention. Geoderma 116(1-2):61\u201376 2003.","DOI":"10.1016\/S0016-7061(03)00094-6"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"H\u00a0Henry Janzen. The Soil Carbon Dilemma: Shall We Hoard It or Use It? Soil Biology and Biochemistry 38(3):419\u2013424 2006.","DOI":"10.1016\/j.soilbio.2005.10.008"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"James\u00a0A Doolittle and Eric\u00a0C Brevik. The Use of Electromagnetic Induction Techniques in Soils Studies. Geoderma 223:33\u201345 2014.","DOI":"10.1016\/j.geoderma.2014.01.027"},{"key":"e_1_3_3_1_24_2","unstructured":"Alec Radford Jong\u00a0Wook Kim Chris Hallacy Aditya Ramesh Gabriel Goh Sandhini Agarwal Girish Sastry Amanda Askell Pamela Mishkin Jack Clark et\u00a0al. Learning Transferable Visual Models From Natural Language Supervision. In ICML 2021."},{"key":"e_1_3_3_1_25_2","unstructured":"Evgenia Rusak Patrik Reizinger Attila Juhos Oliver Bringmann Roland\u00a0S Zimmermann and Wieland Brendel. InfoNCE: Identifying the Gap Between Theory and Practice. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.00143 2024."},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Kaiwen Zha Peng Cao Jeany Son Yuzhe Yang and Dina Katabi. Rank-N-Contrast: Learning Continuous Representations for Regression. Advances in Neural Information Processing Systems 36:17882\u201317903 2023.","DOI":"10.52202\/075280-0786"},{"key":"e_1_3_3_1_27_2","unstructured":"Kang Yang Yuning Chen and Wan Du. Generalizable Radio-Frequency Radiance Fields for Spatial Spectrum Synthesis. In CVPR 2026."},{"key":"e_1_3_3_1_28_2","unstructured":"Kang Yang Gaofeng Dong Sijie Ji Wan Du and Mani Srivastava. GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis. In NeurIPS 2025."},{"key":"e_1_3_3_1_29_2","unstructured":"Youzhuangyuan. Differernt spetrum bulbs. https:\/\/detail.tmall.com\/item.htm 2024. [Online]."},{"key":"e_1_3_3_1_30_2","unstructured":"MSE Supplies. PVDF. urlhttps:\/\/www.amazon.com\/PEKYBIO-Hydrophilic-Biological-Filtration-Solutions\/dp\/B0CNJYBYP8 2024. [Online]."},{"key":"e_1_3_3_1_31_2","unstructured":"Eldor Paul and Serita Frey. Soil Microbiology Ecology and Biochemistry. Elsevier 2023."},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"crossref","unstructured":"David\u00a0T Clarkson and John\u00a0B Hanson. Mineral Nutrition of Higher Plants. Springer 1980.","DOI":"10.1146\/annurev.pp.31.060180.001323"},{"key":"e_1_3_3_1_33_2","unstructured":"CHRISTINE\u00a0ANNE CLARK. Cropsoil. https:\/\/cropsandsoils.extension.wisc.edu 2024. [Online]."},{"key":"e_1_3_3_1_34_2","unstructured":"Bhupinder\u00a0Pal Singh Annette\u00a0L Cowie and K\u00a0Yin Chan. Soil Health and Climate Change. Springer 2011."},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Rattan Lal. Soil Carbon Sequestration to Mitigate Climate Change. Geoderma 123(1-2):1\u201322 2004.","DOI":"10.1016\/j.geoderma.2004.01.032"},{"key":"e_1_3_3_1_36_2","unstructured":"Nyle\u00a0C Brady Ray\u00a0R Weil and Ray\u00a0R Weil. The Nature and Properties of Soils volume\u00a013. Prentice Hall Upper Saddle River NJ 2008."},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"crossref","unstructured":"Konstantinos\u00a0X Soulis Stamatios Elmaloglou and Nicholas Dercas. Investigating the Effects of Soil Moisture Sensors Positioning and Accuracy on Soil Moisture Based Drip Irrigation Scheduling Systems. Agricultural Water Management 148:258\u2013268 2015.","DOI":"10.1016\/j.agwat.2014.10.015"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"crossref","unstructured":"Judith Sitters ER\u00a0Jasper Wubs Elisabeth\u00a0S Bakker Thomas\u00a0W Crowther Peter\u00a0B Adler Sumanta Bagchi Jonathan\u00a0D Bakker Lori Biederman Elizabeth\u00a0T Borer Elsa\u00a0E Cleland et\u00a0al. Nutrient Availability Controls the Impact of Mammalian Herbivores on Soil Carbon and Nitrogen Pools in Grasslands. Global Change Biology 26(4):2060\u20132071 2020.","DOI":"10.1111\/gcb.15023"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"crossref","unstructured":"RM\u00a0Lark and KV\u00a0Knights. The Implicit Loss Function for Errors in Soil information. Geoderma 251:24\u201332 2015.","DOI":"10.1016\/j.geoderma.2015.03.014"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"crossref","unstructured":"Henry\u00a0D Foth. Fundamentals of Soil Science. Soil Science 125(4):272 1978.","DOI":"10.1097\/00010694-197804000-00021"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"crossref","unstructured":"Devrim Coskun Rupesh Deshmukh Humira Sonah James\u00a0G Menzies Olivia Reynolds Jian\u00a0Feng Ma Herbert\u00a0J Kronzucker and Richard\u00a0R B\u00e9langer. The controversies of silicon\u2019s role in plant biology. New Phytologist 221(1):67\u201385 2019.","DOI":"10.1111\/nph.15343"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"crossref","unstructured":"Jian Ding Ranveer Chandra Rattan Lal and Leandros Tassiulas. Cost-Effective Soil Carbon Sensing with Wi-Fi and Optical Signals. In ACM MobiCom 2024.","DOI":"10.1145\/3636534.3690675"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"crossref","unstructured":"Yongni Shao and Yong He. Nitrogen Phosphorus and Potassium Prediction in Soils Using Infrared Spectroscopy. Soil Research 49(2):166\u2013172 2011.","DOI":"10.1071\/SR10098"},{"key":"e_1_3_3_1_44_2","unstructured":"Ningning Hou Yifeng Wang Shiming Yu Xianjin Xia Yuanqing Zheng and Tao Gu. MoLoRa: Intelligent Mobile Antenna System for Enhanced LoRa Reception in Urban Environments. In ACM SenSys 2025."},{"key":"e_1_3_3_1_45_2","unstructured":"Ruonan Li Ziyue Zhang Xianjin Xia Ningning Hou Wenchang Chai Shiming Yu Yuanqing Zheng and Tao Gu. From Interference Mitigation to Toleration: Pathway to Practical Spatial Reuse in LPWANs. In ACM MobiCom 2025."},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"crossref","unstructured":"Xianjin Xia Ningning Hou Yuanqing Zheng and Tao Gu. PCube: Scaling LoRa concurrent transmissions with reception diversities. ACM Transactions on Sensor Networks 18(4):1\u201325 2023.","DOI":"10.1145\/3545571"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"crossref","unstructured":"G\u00a0Clarke Topp JL\u00a0Davis and A\u00a0Peter Annan. Electromagnetic Determination of Soil Water Content: Measurements in Coaxial Transmission Lines. Water resources research 16(3):574\u2013582 1980.","DOI":"10.1029\/WR016i003p00574"},{"key":"e_1_3_3_1_48_2","unstructured":"Sneha\u00a0J Bansod and Shubhada\u00a0S Thakare. Near Infrared Spectroscopy Based a Portable Soil Nitrogen Detector Design. International Journal of Computer Science and Information Technologies 5(3):3953\u20133956 2014."},{"key":"e_1_3_3_1_49_2","unstructured":"Nandkishor\u00a0M Dhawale Viacheslav\u00a0I Adamchuk Raphael A\u00a0Viscarra Rossel Shiv\u00a0O Prasher Joann\u00a0K Whalen and Ashraf\u00a0A Ismail. Predicting Extractable Soil Phosphorus Using Visible\/Near-Infrared Hyperspectral Soil Reflectance Measurements. Paper No. 13 47 2013."},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"crossref","unstructured":"M\u00a0Demiss Sh\u00a0Beyene and S\u00a0Kidanu. Comparison of Soil Extractants and Spectral Reflectance Measurement for Estimation of Available Soil Potassium in Some Ethiopian Soils. Eurasian Soil Science 53:1100\u20131109 2020.","DOI":"10.1134\/S1064229320080049"},{"key":"e_1_3_3_1_51_2","doi-asserted-by":"crossref","unstructured":"Christopher Hutengs Michael Seidel Felix Oertel Bernard Ludwig and Michael Vohland. In Situ and Laboratory Soil Spectroscopy with Portable Visible-to-Near-Infrared and Mid-Infrared Instruments for the Assessment of Organic Carbon in Soils. Geoderma 355:113900 2019.","DOI":"10.1016\/j.geoderma.2019.113900"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"crossref","unstructured":"Darrell\u00a0W Nelson and Lee\u00a0E Sommers. Total Carbon Organic Carbon and Organic Matter. Methods of soil analysis: Part 3 Chemical methods 5:961\u20131010 1996.","DOI":"10.2136\/sssabookser5.3.c34"},{"key":"e_1_3_3_1_53_2","doi-asserted-by":"crossref","unstructured":"Amitava Chatterjee Rattan Lal L\u00a0Wielopolski Madhavi\u00a0Z Martin and MH\u00a0Ebinger. Evaluation of Different Soil Carbon Determination Methods. Critical Reviews in Plant Science 28(3):164\u2013178 2009.","DOI":"10.1080\/07352680902776556"},{"key":"e_1_3_3_1_54_2","doi-asserted-by":"crossref","unstructured":"Xiaomin Ouyang Xian Shuai Jiayu Zhou Ivy\u00a0Wang Shi Zhiyuan Xie Guoliang Xing and Jianwei Huang. Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition. In ACM MobiCom 2022.","DOI":"10.1145\/3495243.3560519"},{"key":"e_1_3_3_1_55_2","doi-asserted-by":"crossref","unstructured":"Gaole Dai Huatao Xu Hyungjun Yoon Mo\u00a0Li Rui Tan and Sung-Ju Lee. ContrastSense: Domain-Invariant Contrastive Learning for In-the-Wild Wearable Sensing. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 8(4):1\u201332 2024.","DOI":"10.1145\/3699744"},{"key":"e_1_3_3_1_56_2","doi-asserted-by":"crossref","unstructured":"Saeid Gharechelou Ryutaro Tateishi and Brian\u00a0A Johnson. Mineral Soil Texture\u2013Land Cover Dependency on Microwave Dielectric Models in an Arid Environment. Land 9(2):39 2020.","DOI":"10.3390\/land9020039"},{"key":"e_1_3_3_1_57_2","doi-asserted-by":"crossref","unstructured":"Mukhtar\u00a0Iderawumi Abdulraheem Hongjun Chen Linze Li Abiodun\u00a0Yusuff Moshood Wei Zhang Yani Xiong Yanyan Zhang Lateef\u00a0Bamidele Taiwo Aitazaz\u00a0A Farooque and Jiandong Hu. Recent Advances in Dielectric Properties-Based Soil Water Content Measurements. Remote Sensing 16(8):1328 2024.","DOI":"10.3390\/rs16081328"},{"key":"e_1_3_3_1_58_2","doi-asserted-by":"crossref","unstructured":"JW\u00a0Van\u00a0Groenigen M\u00a0Gandah and BoumaJ. Soil Sampling Strategies for Precision Agriculture Research under Sahelian Conditions. Soil Science Society of America Journal 64(5):1674\u20131680 2000.","DOI":"10.2136\/sssaj2000.6451674x"},{"key":"e_1_3_3_1_59_2","unstructured":"NPK\u00a0Sensors Detector. Fertilizer measurement. urlhttps:\/\/www.amazon.com\/dp\/B0BTBR6ZZ5 2024. [Online]."},{"key":"e_1_3_3_1_60_2","doi-asserted-by":"crossref","unstructured":"Yuning Chen Kang Yang Zhiyu An Brady Holder Luke Paloutzian Khaled\u00a0M Bali and Wan Du. MARLP: Time-Series Forecasting Control for Agricultural Managed Aquifer Recharge. In ACM KDD 2024.","DOI":"10.1145\/3637528.3671533"},{"key":"e_1_3_3_1_61_2","doi-asserted-by":"crossref","unstructured":"Kang Yang Yuning Chen and Wan Du. OrchLoc: In-Orchard Localization via a Single LoRa Gateway and Generative Diffusion Model-Based Fingerprinting. In ACM MobiSys 2024.","DOI":"10.1145\/3643832.3661876"},{"key":"e_1_3_3_1_62_2","unstructured":"Xinrui. HMC241. https:\/\/www.mouser.com\/ProductDetail\/Analog-Devices\/HMC241ATCPZ-EP-R7?qs=wUXugUrL1qyd90E7BzeY5w%3D%3D&mgh=1 2024. [Online]."},{"key":"e_1_3_3_1_63_2","unstructured":"XMS. VNIR Sensor. https:\/\/www.digikey.com\/en\/products\/detail\/marktech-optoelectronics\/MTPD1346D-030\/5870138? 2024. [Online]."},{"key":"e_1_3_3_1_64_2","doi-asserted-by":"crossref","unstructured":"Guillaume Patoine Nico Eisenhauer Simone Cesarz Helen\u00a0RP Phillips Xiaofeng Xu Lihua Zhang and Carlos\u00a0A Guerra. Drivers and Trends of Global Soil Microbial Carbon over Two Decades. Nature Communications 13(1):4195 2022.","DOI":"10.1038\/s41467-022-31833-z"},{"key":"e_1_3_3_1_65_2","doi-asserted-by":"crossref","unstructured":"Jinshi Jian Xuan Du and Ryan\u00a0D Stewart. A Database for Global Soil Health Assessment. Scientific Data 7(1):16 2020.","DOI":"10.1038\/s41597-020-0356-3"},{"key":"e_1_3_3_1_66_2","unstructured":"Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce\u00a0Liu and Dilip Krishnan. Supervised Contrastive Learning. NeurIPS 2020."}],"event":{"name":"SenSys '26: ACM\/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","location":"Saint Malo France","acronym":"SenSys '26","sponsor":["SIGBED ACM Special Interest Group on Embedded Systems","SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","IEEE CS"]},"container-title":["Proceedings of the 2026 ACM\/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3774906.3800499","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774906.3800499","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774906.3800499","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T08:38:36Z","timestamp":1779007116000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774906.3800499"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,10]]},"references-count":65,"alternative-id":["10.1145\/3774906.3800499","10.1145\/3774906"],"URL":"https:\/\/doi.org\/10.1145\/3774906.3800499","relation":{},"subject":[],"published":{"date-parts":[[2026,5,10]]},"assertion":[{"value":"2026-05-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}