未来已来——人工智能+遥感GIS,重构小麦种植的“智慧大脑”
发布时间:2026-01-04
如果说遥感GIS是小麦种植的“眼睛”和“手脚”,能看清田间情况、执行管理措施,那人工智能(AI)就是“智慧大脑”,能实现自主判断、精准
策。如今,人工智能与遥感GIS的深度融合,正在重构小麦种植的管理模式,让农业从“被动响应”转向“主动预判”,开启智慧农业的新篇章。
人工智能的核心作用,是让遥感GIS系统具备“自主学习和决策”的能力。传统的遥感
AI“慧”种地 _光明网
AI“慧”种地
来源:光明网-《光明日报》
2025-03-04 03:20
光明日报记者 冯帆 宋喜群 光明日报通讯员 刘超
日前,在山东省潍坊市坊子经济发展区马司土地专业合作社的小麦农田内,农机服务技术员冯凯手指轻触遥控器,一架无人
腾空而起,在麦田上空灵巧地飞行。
“我们正在给麦田做‘体检’,通过低空无人机遥感、地面人员采样以及田间布设的传感器,全面采集麦田各个区域的土壤数据。”一会儿工夫,冯凯操控的无人机平稳落地。
此时,刚刚采
田野里的科技新景之一:接入大模型 种田更聪明_时政_中国西藏网
AI智能体在小麦种植中可依托AI和物联网整合分析气象站、墒情仪、虫情测报仪传回的9类核心指标,自动比对诊断并输出针对性治理建议,相当于给每块麦田配备“专属农艺师”。它能将麦田苗情转化为数字,帮用户决策浇水、施肥、虫害防治相关事宜,还可预判虫情风险,明确防控地点、时间与方式。在小麦返青期,当土壤相对湿度为15%、属于轻度干旱时,大模型会建议沟灌慢补,每亩补水10到12立方米并追施8公斤尿素以助苗返青。
原文链接:http://www.tibet.cn/cn/Instant/municipal/202603/t20260318_7947894.html
Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight-related traits in winter wheat.
r prone to human biases or resource expensive, hindering the progress in breeding for FHB-resistant cultivars. Though genomic selection (GS) can be an effective way to select these traits, inaccurate phenotyping remains a hurdle in exploiting this approach. Here, we used an artificial intelligence (AI)-based precise FDK estimation that exhibits high heritability and correlation with DON. Further, GS using AI-based FDK (FDK_QVIS/FDK_QNIR) showed a two-fold increase in predictive ability (PA) compared to GS for traditionally estimated FDK (FDK_V). Next, the AI-based FDK was evaluated along with
原文链接:https://ngdc.cncb.ac.cn/openlb/publication/OLB-PM-38853339
Whole Grain Bread and AI – Blockchain Council
ai
Whole Grain Bread and AI
Suyash Raizada
May 28, 2026
Whole grain bread has long been recognized as a staple of healthy diets, offering essential nutrients, fiber, and long-term health benefits. At the same time, artificial intelligence (AI) is transforming industries across the globe, including food production, agriculture, and supply chain management. The combination of whole grain bread and AI may seem unusual at first, but it represents a powerful intersection of nutrition and technology.
From optimizing crop production to improving baking processes and personalizing nutrition plans, AI
原文链接:https://www.blockchain-council.org/ai/whole-grain-bread-and-ai/
WheatAI v1.0: An AI-Powered High Throughput Wheat Phenotyping Platform
1
WheatAI v1.0: An AI-Powered High Throughput Wheat Phenotyping Platform
Maitiniyazi Maimaitijiang1*, Hillson Ghimire1, Subash Thapa2, Mohammad Maruf Billah1, Shaurya Sehgal1, Mandeep Singh2, Swas Kaushal2, Kushal Poudel1, Santosh Subedi1, Ubaid Ur Rehman Janjua1, Lise-Olga Makonga1, Jyotirmoy Halder2, Harsimardeep S. Gill 4, Mazhar Sher3, Jagdeep Singh Sidhu2, Sunish K. Sehgal2*
1 Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences,
South Dakota State University, Brookings, SD 57007, USA. 2 Department of Agronomy, Horticulture, and Plant Science, South Da
麦收关键期,数字管家“排兵布阵”(三夏进行时·田间探新)
化等种植规划建议;生长过程中,通过解析卫星遥感、无人机及物联网设备传回的实时数据,大模型能精准判断病虫害风险与水肥需求,向智能农机下达变量施肥、精准施药等指令……经实践测算,通过大模型赋能的精准作业系统,可实现作物增产10%、节省种子5%、减少化肥与农药使用各10%、节约农业用水50%。
今年农场小麦长势喜人。“预报这几天可能会下雨,我们通过平台提前调配好农机,随时准备抢收。”陈玲说,“麦子收完,再抢播玉米。”
原文链接:http://paper.people.com.cn/rmrb/pad/content/202606/15/content_30163062.html
Journal of Food Process Engineering: Volume 48, Issue 6
Ali, Chagyou Li , Mohamed Fawzi Abdelshafie Abuhussein, Elwan Ali Darwish,
Gomaa Galal Abd El-wahhab
,
e70148
Combining deep neural networks and chain regression with an intelligent conveyor dryer, this study achieves 70% faster fish by-product drying while retaining 45% protein and 15% fat. The AI-optimized system reduces energy use by 35%, offering a sustainable solution for industrial food waste valorization.
Effect of Three Different Roller Milling Techniques on the Milling Properties and Baking Quality of Wheat Flour With Varying Protein Content
Snehasis Chakraborty, Hemanth Bommina ,
原文链接:https://besjournals.onlinelibrary.wiley.com/toc/17454530/2025/48/6
Electric Drive Supervisor for Milling Process 4.0 Automation: A Process Analytical Approach with IIoT NIR Devices for Common Wheat.
machines and processes. In this contest, the work presents an integrated solution merging a deeper understanding and control of the process due to real-time data collection by MicroNIR sensors (VIAVI, Santa Rosa, CA)-directly from the manufacturing process-and data analysis by Chemometrics. To the aim the sensors were positioned at wheat cleaning and at the flour blends phase and near infrared spectra (951-1608 nm) were collected online. Regression models were developed merging the spectra information with the results obtained by reference analyses, i.e., chemical composition and rheological
原文链接:https://ngdc.cncb.ac.cn/openlb/publication/OLB-PM-32093072
山东省发展和改革委员会 农经信息 智慧田”增产有良方
智慧田”增产有良方
发布日期: 2025-06-13
6月11日,在东营市广饶县李鹊镇后里西村的麦田里,收割机在收割小麦。(□通讯员 刘云杰 报道)
6月9日,在位于潍坊高密的潍柴雷沃无人农场内,一台喂入量12公斤的雷沃谷神收割机,
上,潍柴雷沃智慧农业研究院研发工程师冯凯手持平板电脑,远程查看收割机的运行。“收割机搭载了北斗导航和AI视觉系统,不仅能规划误差极小的笔直收割路径,还能通过实时监测损失率、杂余率、破碎率,动态调整割台、
原文链接:http://fgw.shandong.gov.cn/art/2025/6/13/art_91540_10469310.html