[1] HUANG F Y, LIU Z H, ZHANG P et al. Hyd rothermal effects on maize productivity with different planting patterns in a rainfed farml and area. Soil and Tillage Research, 205, 104794(2021).

[2] TONG X Y, XIA G S, LU Q K et al. Land-Cover classification with high resolution remote sensing images using transferable deep mode ls. Remote Sensing of Environment, 237, 1-11322(2020).

[3] MANDAL D, KUMAR V, RATHAa D et al. Dual polarimetric radar vegetation index for crop growth monitoring using Sentinel-1 SAR data. Remote Sensing of Environment, 247, 111954(2020).

[4] KUSSUL N, SKAKUN S, SHELESTOV A et al. The use of satellite sar imagery to cop clas sification in Ukraine within JECAM Project, 1497-1500(2014).

[5] ZHOU Liang, MU Haowei, MA Haijiao et al. Remote sensing estimation on yield of winter wheat in North China based on convolutional neural network. Transactions of The Chinese Society of Agricultural Engineering, 35, 119-128(2019).

[6] TAPIA-SILVA F O, ITZEROTT S, FOERSTER S et al. Estimation of flood losses to agricult ural crops using remote sensing. Physics and Chemistry of the Earth， Parts A/B/C, 36, 253-265(2011).

[7] ZHENG X M, FENG Z Z, Li L et al. Simulta neously estimating surface soil moisture and roughness of bare soils by combining optical and radar data. International Journal of Applied Earth Observation and Geoinformation, 100, 102345(2021).

[8] ZHAO F, GU X F, VERHOEF W et al. A spectral directional reflectance model of row crops. Remote Sensing of Environment, 114, 265-285(2010).

[9] ULABY F T, LONG D G, BLACKWELL W J et al. Microwave Radar and Radiometric Remote Sensing(2015).

[10] CHAMPION I, FAIVRE R. The field row direction relative to the radar Azimuth considered as an apparent surface roughness for smooth bare soils. Remote Sensing, 17, 3305-3311(1996).

[11] ZRIBI M, TACONET O, CIZRLETTI V et al. Effect of row structures on radar microwave measurements over soil surface. International Journal of Remote Sensing, 23, 5211-5224(2002).

[12] ZHENG Xingming, ZHAO Kai, ZHANG Shuwen. Results of soil moisture inversion from radio meter biased by periodic change of row structure on farmland. Journal of Remote Sensing, 16, 1310-1330(2012).

[13] ROMAN M O, GATEBE C K, SCHAAF C B et al. Variability in surface BRDF at different spatial scales（30 m-500 m） over a mixed agricultural landscape as retrieved from airborne and satel-lite spectral measurements. Remote Sensing of Environment, 115, 2184-2203(2011).

[14] SUITS G H. Extension of a uniform canopy reflectance model to include row effects. Remote Sensing of Environment, 13, 113-129(1983).

[15] ZHONG Hanxiao, BIAN Jinhu, Li Ai'nong. Radi ometric consistency between Landsat-8 OLI and Sentinel-2 MSI imagery inmountainous terrain. Remote Sensing Technology and Application, 33, 428-438(2018).

[16] FIEUZAL R, BAUP F, MARAIS S C. Sensitivi ty of TerraSAR-X， RADARSAT-2 and ALOS Satellite Radar Data to Crop Variables, 3740-3743(2012).

[17] ZHU L J, WALKER J P, RUDIGER C et al. Identification of agricultural row features using optical data for scattering and reflectance modeling over periodic surfaces. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1729-1739(2020).

[18] LIU J G, PATTEY E, MILLER J R et al. Estimating crop stresses，aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model. Remote Sensing of Environment, 114, 1167-1177(2010).

[19] CLAVERIE M, DEMAREZ V, DUCHEMIN B et al. Maize and sunflower biomass estimation in Southwest France using high spatial and temporal resolution remote sensing data. Remote Snsing of Environment, 124, 844-857(2012).

[20] BASSO M, PIGNATON DE F E. A UAV guid ance system using crop row detection and line follower algorithms. Journal of Intelligent & Robotic Systems, 97, 605-621(2020).

[21] SU Wei, JIANG Kunping, YAN An et al. Monitoring of planted lines for breeding corn using UAV remote sensing image. Transactions of the Chinese Society of Agricultural Engineering, 34, 92-98(2018).

[22] LECUN Y, BOTTOU L, BENGIO Y et al. Gradient based learning applied to document recognition. Proceedings of the IEEE, 86, 2278-2324(1998).

[23] ALESSANDRO S F, FREITAS D M, DA S G et al. Weed detection in soybean crops using ConvNets. Computers and Electronics in Agriculture, 143, 314-324(2017).

[24] JI S, ZHANG C, XU A et al. 3D convolutional neural networks for crop classification with multi-temporal remote sensing images. Remote Sensing, 10, 75(2018).

[25] KATTENBORN T, EICHEL J, FASSNACHT F E. Convolu tional neural networks enable efficient， accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery. Scientific Reports, 9, 1-9(2019).

[26] NEVAVUORI P, NARRA N, LIPPING T. Crop yield prediction with deep convolutional neural networks. Computers and Electronics in Agriculture, 163, 104859(2019).

[27] BAH M D, HAFIANE A, CANALS R. CRowNet：Deep network for crop row detection in UAV images. IEEE Access, 8, 5189-5200(2019).

[28] SICRE C M, BAUP F, FIEUZAL R. Determination of the crop row orientations from formosat-2 multi-temporal and panchromatic images. ISPRS Journal of Photogrammetry and Remote Sensing, 94, 127-142(2014).

[29] GARNOT V S F, LANDRIEU L. PANOPTIC segmentation of satellite image time series with convolutional temporal attentionnetworks, 4872-4881(2021).

[30] WALDNER F, DIAKOGIANNIS F I, BATCHE LOR K et al. Detect， consolidate，delineate：Scalable mapping of field boundaries using satellite images. Remote Sensing, 13, 2197(2021).

[31] DIAKOGIANNIS F I, WALDNER F, CACCET TA P et al. ResUNet-a： A deep learning framework for semantic segmentation of remotely sensed data. ISPRS Journal of Photogrammetry and Remote Sensing, 162, 94-114(2020).

[32] QI L, ZUO D F, WANG Y R et al. Convolutional neural network based method for agriculture plot segmentation in remote sensing images. Remote Sensing, 16, 346(2024).

[33] NAIR S, SHARIFZADEH S, PALADE V. Farmland segmentation in Landsat 8 satellite images using deep learning and conditional generative adversarial networks. Remote Sensing, 16, 823(2024).