今天为大家推荐的专题是作物病虫害识别监测，本专题共6篇文章，内容涉及：无人机遥感监测作物病虫害、深度学习在植物叶部病害检测与识别、联合多源多时相卫星影像和支持向量机的小麦白粉病监测、基于改进轻量级卷积神经网络MobileNetV3的番茄叶片病害识别、面向植物病害识别的卷积神经网络精简结构Distilled-MobileNet模型、太阳能杀虫灯物联网节点的防盗防破坏设计等，欢迎大家下载、阅读和引用。

杨国峰, 何勇, 冯旭萍, 李禧尧, 张金诺, 俞泽宇. 无人机遥感监测作物病虫害胁迫方法与最新研究进展[J]. 智慧农业（中英文）, 2022, 4(1): 1-16.

YANG Guofeng, HE Yong, FENG Xuping, LI Xiyao, ZHANG Jinnuo, YU Zeyu. Methods and new research progress of remote sensing monitoring of crop disease and pest stress using unmanned aerial vehicle[J]. Smart Agriculture, 2022, 4(1): 1-16.

邵明月, 张建华, 冯全, 柴秀娟, 张凝, 张文蓉. 深度学习在植物叶部病害检测与识别的研究进展[J].智慧农业(中英文), 2022, 4(1): 29-46.

SHAO Mingyue, ZHANG Jianhua, FENG Quan, CHAI Xiujuan, ZHANG Ning, ZHANG Wenrong. Research progress of deep learning in detection and recognition of plant leaf diseases[J]. Smart Agriculture, 2022, 4(1): 29-46.

赵晋陵, 杜世州, 黄林生. 联合多源多时相卫星影像和支持向量机的小麦白粉病监测方法[J]. 智慧农业(中英文), 2022, 4(1): 17-28.

ZHAO Jinling, DU Shizhou, HUANG Linsheng. Monitoring wheat powdery mildew (blumeria graminis f. sp. tritici) using multisource and multitemporal satellite images and support vector machine classifier[J]. Smart Agriculture, 2022, 4(1): 17-28.

周巧黎, 马丽, 曹丽英, 于合龙. 基于改进轻量级卷积神经网络MobileNetV3的番茄叶片病害识别[J]. 智慧农业(中英文), 2022, 4(1): 47-56.

ZHOU Qiaoli, MA Li, CAO Liying, YU Helong. Identification of tomato leaf diseases based on improved lightweight convolutional neural networks MobileNetV3[J]. Smart Agriculture, 2022, 4(1): 47-56.

邱文杰, 叶进, 胡亮青, 杨娟, 李其利, 莫贱友, 易万茂. 面向植物病害识别的卷积神经网络精简结构Distilled-MobileNet模型[J]. 智慧农业(中英文), 2021, 3(1): 109-117.

QIU Wenjie, YE Jin, HU Liangqing, YANG Juan, LI Qili, MO Jianyou, YI Wanmao. Distilled-mobilenet model of convolutional neural network simplified structure for plant disease recognition[J]. Smart Agriculture, 2021, 3(1): 109-117.

黄凯, 舒磊, 李凯亮, 杨星, 朱艳, 汪小旵, 苏勤. 太阳能杀虫灯物联网节点的防盗防破坏设计及展望[J]. 智慧农业(中英文), 2021, 3(1): 129-143.

HUANG Kai, SHU Lei, LI Kailiang, YANG Xing, ZHU Yan, WANG Xiaochan, SU Qin. Design and prospect for anti-theft and anti-destruction of nodes in Solar Insecticidal Lamps Internet of Things[J]. Smart Agriculture, 2021, 3(1): 129-143.