Full Length Research Paper
References
|
AbdelRahman M, Roshdy M, Gao M, Toscano F, Fiorentino C, Scopa A, D'Antonio P (2023). Determining the Extent of Soil Degradation Processes Using Trend Analyses at a Regional Multispectral Scale 12(4):855 |
|
|
Abebe AM, Kim Y, Kim J, Kim SL, Baek J (2023). Image-Based High-Throughput Phenotyping in Horticultural Crops. Plants, 12(10):2061. |
|
|
Adesipo A, Fadeyi O, Kuca K, Krejcar O, Maresova P, Selamat A, Adenola M (2020). Smart and climate-smart agricultural trends as core aspects of smart village functions. Sensors 20(21):5977. |
|
|
Ahmad U, Sharma L (2023). A review of Best Management Practices for potato crop using Precision Agricultural Technologies. Smart Agricultural Technology 4:100220. |
|
|
Amankulova K, Farmonov N, Mukhtorov U, Mucsi L (2023). Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology. Geocarto International 38(1):2197509. |
|
|
Bao F, Wang X, Sureshbabu SH, Sreekumar G, Yang L, Aggarwal V, Boddeti VN, Jacob Z (2023). Heat-assisted detection and ranging. Nature 619(7971):743-748. |
|
|
Barbedo JGA (2023). A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture. Computers and Electronics in Agriculture 210:107920. |
|
|
Cao Y, Li X, Qian X, Gu H, LI J, Chen X, Shen G (2023). Soil health assessment in the Yangtze River Delta of China: Method development and application in orchards. Agriculture, Ecosystems and Environment 341:108190. |
|
|
Chau WY, Loong CN, Wang YH, Chiu SW, Tan TJ, Wu J, Leung ML, Tan PS, Ooi G (2022). Understanding the dynamic propert.ies of trees using the motions constructed from multi-beam flash light detection and ranging measurements. Journal of the Royal Society Interface 19(193):2022-0319. |
|
|
Crocetti F, Belloccchio E, Dionigi A, Felicioni S, Costante G, Fravolini ML, Valigi P (2023). ARD?VO: Agricultural robot data set of vineyards and olive groves. Journal of Field Robotics 40:1678-1696. |
|
|
Cvetkovi? N, ?okovi? A, Dobrota M, Radoji?i? M (2023). New Methodology for Corn Stress Detection Using Remote Sensing and Vegetation Indices. Sustainability 15(6):5487. |
|
|
Dai X, Chen Y, Zhang C, He Y, Li J (2023). Technological revolution in the field: Green development of Chinese agriculture driven by digital information technology (DIT). Agriculture 13(199):199. |
|
|
De Almeida GS, Rizzo R, Amorim MTA, dos Santos NV, Rosas JTF, Campos LR, Rosin NA, Zabini AV, Demattê JAM (2023). Monitoring soil-plant interactions and maize yield by satellite vegetation indexes, soil electrical conductivity and management zones. Precision Agriculture 24:1380-1400. |
|
|
Debnath S, Paul M, Debnath T (2023). Applications of LiDAR in Agriculture and Future Research Directions. Journal of Imaging 9(3):57. |
|
|
Deng C, Wang S, Liu Y, Li Z, Zhang G, Li W, Liu C (2023). Evolution of livelihood vulnerability in rice terrace systems: Evidence from households in the Ziquejie terrace system in China. Frontiers in Sustainable Food Systems, 7, 1031504. |
|
|
Dutta S, Venkatesh P, Mardziel P, Datta A, Grover P (2021). Fairness Under Feature Exemptions: Counterfactual and Observational Measures, in IEEE Transactions on Information Theory 67(10):6675-6710. . |
|
|
Fikri MR, Candra T, Saptaji K, Noviarini AN, Wardani DA (2023). A review of Implementation and Challenges of Unmanned Aerial Vehicles for Spraying Applications and Crop Monitoring in Indonesia. arXiv preprint arXiv:2301.00379. |
|
|
Fiorentino C, D'Antonio P, Toscano F, Donvito A, Modugno F (2023). New Technique for Monitoring High Nature Value Farmland (HNVF) in Basilicata. Sustainability 15:8377. |
|
|
Gutknecht J, Journey A, Peterson H, Blair H, Cates A (2023). Cover crop management practices to promote soil health and climate adaptation: Grappling with varied success from farmer and researcher observations. Journal of Environmental Quality 52(3):448-464. |
|
|
Haonan Y, Shufan F, Zheng Y (2023). Technologies of blockchain interoperability: a survey, Digital Communications and Networks. |
|
|
Holzinger A, Keiblinger K, Holub P, Zatloukal K, Muller H (2023). AI for life: Trends in artificial intelligence for biotechnology. New Biotechnology 74:16-24. |
|
|
Hrustek L (2020). Sustainability driven by agriculture through digital transformation. Sustainability 12(20):8596. |
|
|
Hutsol T, Kutyrev A, Kiktev N, Biliuk M (2023). Robotic Technologies in Horticulture: Analysis and Implementation Prospects. Agricultural Engineering 27(1):113-133. |
|
|
Jiang B, Qi C, Yang H, Wu X, Yang W, Zhang C, Li S, Wang L, Li Y (2023). Recent advances of carbon-based electromagnetic wave absorption materials facing the actual situations. Carbon 208:390-409. |
|
|
Kakarla S, Ampatzidis Y, Park S, Adosoglou G, Pardalos P (2022). Emerging Sensing Technologies for Precision Agriculture. In: Bochtis DD, Lampridi M, Petropoulos GP, Ampatzidis Y, Pardalos P (eds) Information and Communication Technologies for Agriculture-Theme I: Sensors. Springer Optimization and Its Applications, pp182. |
|
|
Kalogiannidis S, Kalfas D, Chatzitheodoridis F, Papaevangelou O (2022). Role of crop-protection technologies in sustainable agricultural productivity and management. Land 11(10):1680. |
|
|
Krishna G, Sahoo RN, Singh P, Bajpai V, Patra H, Kumar S, Dandapani R, Gupta VK, Viswanathan C, Ahmad T, Sahoo PM (2019). Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing. Agricultural Water Management 213:231-244. |
|
|
Lai JW, Ramli HR, Ismail LI, Hasan WZW (2023). Oil palm fresh fruit bunch ripeness detection methods: a systematic review. Agriculture 13(1):156. |
|
|
Langley DJ (2022). Digital product-service systems: The role of data in the transition to servitization business models. Sustainability 14(3):1303. |
|
|
Li R, Yin B, Cong Y, Du Z (2020). Simultaneous prediction of soil properties using multi_cnn model. Sensors 20(21):6271. |
|
|
Liu M, Liu H (2023). Farmers' adoption of agriculture green production technologies: Perceived value or policy-driven? Heliyon 10:e23925. |
|
|
Liu S, Bai X, Zhu G, Zhang Y, Li L, Ren T, Lu J (2023). Remote estimation of leaf nitrogen concentration in winter oilseed rape across growth stages and seasons by correcting for the canopy structural effect. Remote Sensing of Environment 284:113348. |
|
|
Luo J, Wang Y, Zou J (2020). Big data in precision agriculture. Journal of Integrative Agriculture 19(11):2605-2616. |
|
|
Mishra P, Polder G, Vilfan N (2020) Close range spectral imaging for disease detection in plants using autonomous platforms: a review on recent studies. Current Robot Reports 1(2):43-48 |
|
|
Monteiro A, Santos S, Gonçalves P (2021). Precision agriculture for crop and livestock farming-Brief review. Animals, 11(8):2345. |
|
|
Moreno H, Valero C, Bengochea-Guevara JM, Tibeiro A, Garrido-Izard M, Andùjar D (2020). On-ground vineyard reconstruction using a LiDAR-based automated system. Sensors 20(4):1102. |
|
|
Olson D, Anderson J (2021). Review on unmanned aerial vehicles, remote sensors, imagery processing, and their applications in agriculture. Agronomy Journal. |
|
|
Omia E, Bae H, Park E, Kim MS, Baek I, Kabenge I, Cho BK (2023). Remote Sensing in Field Crop Monitoring: A Comprehensive Review of Sensor Systems, Data Analyses and Recent Advances. Remote Sensing 15(2):354. |
|
|
Pandey P, Veazie P, Whipker B, Young S (2023). Predicting foliar nutrient concentrations and nutrient deficiencies of hydroponic lettuce using hyperspectral imaging. Biosystems Engineering 230:458-469. |
|
|
photos, airborne hyperspectral imaging, and satellite data. Remote Sensing of Environment 285:113366. |
|
|
Rado?aj D, Šiljeg A, Marinovi? R, Juriši? M (2023). State of major vegetation indices in precision agriculture studies indexed in web of science: A review. Agriculture 13(3):707. |
|
|
Ren H, Zhou P, Zhou B, Li X, Wang X, Ge J, Ding Z, Zhao M, Li C (2023). Understanding the Physiological Mechanisms of Canopy Light Interception and Nitrogen Distribution Characteristics of Different Maize Varieties at Varying Nitrogen Application Levels. Agronomy 13(4):1146. |
|
|
Rivera G, Porras R, Florencia R, Sànchez-Solìs JP (2023). LiDAR applications in precision agriculture for cultivating crops: a review of recent advances. Computers and Electronics in Agriculture 207:107737. |
|
|
Shaik RU, Periasamy S, Zeng W (2023). Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications. Remote Sensing 15(5):1378. |
|
|
Shelar A, Nile SH, Singh AV, Rothenstein D, Bill J, Xiao J, Chaskar M, Kai G, Patil R (2023). Recent advances in nano-enabled seed treatment strategies for sustainable agriculture: Challenges, risk assessment, and future perspectives. Nano-Micro Letters 15(1):54. |
|
|
Silva L, Conceicao L, Lidon F, Patanita M, D'Antonio P, Fiorentino C (2023). Digitization of Crop Nitrogen Modelling: A Review. Agronomy, pp.13. |
|
|
Sindhu S, Manickavasagan A (2023). Nondestructive testing methods for pesticide residue in food commodities: A review. Comprehensive Reviews in Food Science and Food Safety 22(2):1226-1256. |
|
|
Srivastava A, Prakash J (2023). Techniques, Answers, and Real-World UAV Implementations for Precision Farming. Wireless Personal Communications 131:2715-2746. |
|
|
Steeneken PG, Kaiser E, Verbiest GJ, Ten Veldhuis MC (2023). Sensors in agriculture: towards an Internet of Plants. Nature Reviews Methods Primers 3:60. Available at: https://doi.org/10.1038/s43586-023-00250-x |
|
|
Tahir MN, Lan Y, Zhang Y, Wenjiang H, Wang Y, Naqui SMZA (2023). Application of unmanned aerial vehicles in precision agriculture, in Precision Agriculture 4:55-70. |
|
|
Thaler E, Larsen I, Yu Q (2021). The extent of soil loss across the US Corn Belt. Proceedings of the National Academy of Sciences 118:e1922375118. Available at: https://doi.org/10.1073/pnas.1922375118. |
|
|
Toscano F, Fiorentino C, Capece N, Erra U, Travascia D, Scopa A, Drosos M, D'Antonio P (2024). Unmanned Aerial Vehicle for Precision Agriculture, pp.1-1. |
|
|
Wang S, Guan K, Zhang C, Zhou Q, Wang S, Wu X, Jiang C, Peng B, Mei W, Li K, Li Z, Yang Y, Zhou W, Huang Y, Ma Z (2023). Cross-scale sensing of field-level crop residue cover: Integrating field |
|
|
Xia L, Feng Y, Zhao B (2022). Intrinsic mechanism and multiphysics analysis of electromagnetic wave absorbing materials: New horizons and breakthrough. Journal of Materials Science and Technology 130:136-156. |
|
|
Yang H, Yin H, Hu Y, Yu K (2023). Machine learning models fed with optimized spectral indices to advance crop nitrogen monitoring. Field Crops Research 293:108844. |
|
|
Zhang N, Yang G, Pan Y, Yang X, Chen L, Zhao C (2020). A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades. Remote Sensing12:3188. |
|
|
Zhang TX, Su JY, Liu CJ, Chen WH (2019). Potential bands of sentinel-2A satellite for classification problems in precision agriculture. International Journal of Automation and Computing 16:16-26. |
|
|
Zhao J, Wang Z, Dong Y, Yang Z, Govers G (2022). How soil erosion and runoff are related to land use, topography and annual precipitation: Insights from a meta-analysis of erosion plots in China. Science of The Total Environment 802:149665. |
|
|
Zhou G, Zhou X, Song Y, Xie D, Wang L, Yan G, Hu M, Liu B, Shang W, Gong C, Wang C, Huang H, Zhao Y, Liu Z, Zhang G, Wan, X, Nie S, Ye M, Liu S, Tan Q, Li K, Wei F, Su W, Tian J, Ai Q, Yang L, Song B, Xu J, Zhang L, Li W, Wang R, Xue H, Dong H, Yu Y, Wang H (2021). Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR)(SCLaHS LiDAR). International journal of remote sensing 42(10):3731-3755. |
|
Copyright © 2025 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0
