Skip to main navigation menu Skip to main content Skip to site footer
Plant Science Today (PST)

Review Articles

Vol. 12 No. sp4 (2025): Recent Advances in Agriculture by Young Minds - III

Climate action: Impact of precision farming technologies on the sustainable conservation and management of its resources and nature preservation

DOI
https://doi.org/10.14719/pst.10025
Submitted
13 June 2025
Published
11-12-2025

Abstract

In the phases of technology, precision technology is a very important parameter to check the rice crop production in an efficient way. Nowadays, satellites are also playing a very important role in the agriculture sector by providing help through global positioning system (GPS), remote sensing (RS), yield analysis devices and helping to improve the optimum use of resources. Water is a lifesaver in agriculture, as we know, without water, life is not possible anywhere. The optimum use of water is most recommended in the agricultural sector, so the water application is completely monitored by precision agriculture (PA). In the next generation, the use of fertilizers and pesticides is
also contributing to a major role in agricultural production. The excess use of fertilizers is always causing a major issue in the soil environment and causing soil to be more acidic in nature, which is not suitable for the maximum crops. The application of precision technology is helping to reduce the use of chemicals more than the recommended dose. Recent research showed the reduction in water wastage by using specific irrigation systems that monitor the humidity level in the soil and plants and promote the ecological balance. The satellites provide high-definition images, enabling effective decision-making to maintain control over diseases and insect pest infestations
and maximize yield, which is limited due to the world population. The farmers are not aware of all these technologies. To overcome all these challenges, training and education are the best strategies to solve these problems.

References

  1. 1. Lindblom J, Lundström C, Ljung M, Jonsson A. Promoting sustainable intensification in precision agriculture: review of decision support systems development and strategies. Precis Agric. 2017;18:309-31. https://doi.org/10.1007/s11119-016-9491-4
  2. 2. Padmavathy A, Poyyamoli G. Biodiversity comparison between paired organic and conventional fields in Puducherry, India. PJBS. 2013;16(23):1675-86. https://doi.org/10.3923/pjbs.2013.1675.1686
  3. 3. Rennings M, Baaden P, Block C, John M, Bröring S. Assessing emerging sustainability-oriented technologies: the case of precision agriculture. Scientometrics. 2024;129(6):2969-98. https://doi.org/10.1007/s11192-024-05022-2
  4. 4. Pearce DW, Atkinson GD, Dubourg WR. The economics of sustainable development. Annu Rev Energy Environ. 1994;19:457-74.
  5. 5. Block C, Wustmans M, Laibach N, Bröring S. Semantic bridging of patents and scientific publications - the case of an emerging sustainability-oriented technology. Technol Forecast Soc Change. 2021;167:120689. https://doi.org/10.1016/j.techfore.2021.120689
  6. 6. Mondal P, Basu M. Adoption of precision agriculture technologies in India and in some developing countries: scope, present status and strategies. Prog Nat Sci. 2009;19(6):659-66. https://doi.org/10.1016/j.pnsc.2008.07.020
  7. 7. Rezaei EE, Webber H, Asseng S, Boote K, Durand JL, Ewert F, et al. Climate change impacts on crop yields. Nat Rev Earth Environ. 2023;4(12):831-46. https://doi.org/10.1038/s43017-023-00491-0
  8. 8. Meghraoui K, Sebari I, Pilz J, Ait El Kadi K, Bensiali S. Applied deep learning-based crop yield prediction: a systematic analysis of current developments and potential challenges. Technologies. 2024;12(4):43. https://doi.org/10.3390/technologies12040043
  9. 9. Dimos N, Schaefer R, Leonard E, Koch J. Translational learnings from Australia: how SPAA plays a role in increasing the adoption of precision agriculture. Adv Anim Biosci. 2017;8(2):694-97. https://doi.org/10.1017/S2040470017000085
  10. 10. Steele-Dunne SC, McNairn H, Monsivais-Huertero A, Judge J, Liu PW, Papathanassiou K. Radar remote sensing of agricultural canopies: a review. IEEE J Sel Top Appl Earth Observ Remote Sens. 2017;10(5):2249-73. https://doi.org/10.1109/JSTARS.2016.2639043
  11. 11. Cheema MJ, Iqbal T, Daccache A, Hussain S, Awais M. Precision agriculture technologies: present adoption and future strategies. Precision Agriculture; 2023. p. 231-50. https://doi.org/10.1016/B978-0-443-18953-1.00011-8
  12. 12. Lowenberg-DeBoer J, Erickson B. Setting the record straight on precision agriculture adoption. Agron J. 2019;111(4):1552-69. https://doi.org/10.2134/agronj2018.12.0779
  13. 13. Relf-Eckstein JE, Ballantyne AT, Phillips PW. Farming reimagined: a case study of autonomous farm equipment and creating an innovation opportunity space for broadacre smart farming. NJAS Wageningen J Life Sci. 2019;90:100307. https://doi.org/10.1016/j.njas.2019.100307
  14. 14. Bhattacharyya T, Chandran P, Ray SK, Tiwary P, Dharmik Ajit M, DK MC, et al. WebGeoSIS as soil information technology: a conceptual framework. Agropedology. 2014;24:222-33.
  15. 15. Mandal SK, Maity A. Precision farming for small agricultural farm: Indian scenario. Am J Exp Agric. 2013;3(1):200-17.
  16. 16. Suprem A, Mahalik N, Kim K. A review on application of technology systems, standards and interfaces for agriculture and food sector. Comput Syst Sci Eng. 2013;35(4):355-64. https://doi.org/10.1016/j.csi.2012.09.002
  17. 17. Ferreiro-Arman M, Da Costa JP, Homayouni S, Martin-Herrero J. Hyperspectral image analysis for precision viticulture. Image Analysis and Recognition. Berlin (Germany): Springer; 2006. p. 730-41. https://doi.org/10.1007/11867661_66
  18. 18. Shaheen M, Soma MK, Zeba F, Aruna M. Precision agriculture in India - challenges and opportunities. IJARGE. 2020;16(3-4):223-46. https://doi.org/10.1504/IJARGE.2020.115331
  19. 19. D’Antonio P, Fiorentino C, AbdelRahman MA, Sannino M, Scalcione E, Lacertosa G, et al. Modeling climatic, terrain and soil factors using AHP in GIS for grapevines suitability assessment. Sustain Dev. 2025;33(1):970-91. https://doi.org/10.1002/sd.3136
  20. 20. Ahmad L, Mahdi SS. Variable rate technology and variable rate application. Satellite farming: information processing in agriculture. 2018. p. 67-80. https://doi.org/10.1007/978-3-030-03448-1_5
  21. 21. Ali A, Hassan MU, Kaul HP. Broad scope of site-specific crop management and specific role of remote sensing technologies within it — a review. J Agron Crop Sci. 2024;210(4):e12732. https://doi.org/10.1111/jac.12732
  22. 22. Faqir Y, Qayoom A, Erasmus E, Schutte-Smith M, Visser HG. A review on the application of advanced soil and plant sensors in the agriculture sector. Comput Electron Agric. 2024;226:109385. https://doi.org/10.1016/j.compag.2024.109385
  23. 23. Singh G, Sharma S. A comprehensive review on the internet of things in precision agriculture. Multimed Tools Appl. 2025;84(17):18123-98. https://doi.org/10.1007/s11042-024-19656-0
  24. 24. Taha MF, Mao H, Zhang Z, Elmasry G, Awad MA, Abdalla A, et al. Emerging technologies for precision crop management towards agriculture 5.0: a comprehensive overview. Agriculture. 2025;15(6):582. https://doi.org/10.3390/agriculture15060582
  25. 25. Aarif KOM, Alam A, Hotak Y. Smart sensor technologies shaping the future of precision agriculture: recent advances and future outlooks. J Sensors. 2025;2025(1):2460098. https://doi.org/10.1155/js/2460098
  26. 26. Xing Y, Wang X. Precision agriculture and water conservation strategies for sustainable crop production in arid regions. Plants. 2024;13(22):3184. https://doi.org/10.3390/plants13223184
  27. 27. Mesías-Ruiz GA, Pérez-Ortiz M, Dorado J, De Castro AI, Peña JM. Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: a contextual review. Front Plant Sci. 2023;14:1143326. https://doi.org/10.3389/fpls.2023.1143326
  28. 28. Adewusi AO, Asuzu OF, Olorunsogo T, Iwuanyanwu C, Adaga E, Daraojimba DO. AI in precision agriculture: a review of technologies for sustainable farming practices. World J Adv Res Rev. 2024;21(1):2276-85. https://doi.org/10.30574/wjarr.2024.21.1.0314
  29. 29. Sharma K, Shivandu SK. Integrating artificial intelligence and internet of things (IoT) for enhanced crop monitoring and management in precision agriculture. Sensors Int. 2024:100292. https://doi.org/10.1016/j.sintl.2024.100292
  30. 30. Mehedi IM, Hanif MS, Bilal M, Vellingiri MT, Palaniswamy T. Remote sensing and decision support system applications in precision agriculture: challenges and possibilities. IEEE Access. 2024; p. 12. https://doi.org/10.1109/ACCESS.2024.3380830
  31. 31. Fountas S, Espejo-García B, Kasimati A, Gemtou M, Panoutsopoulos H, Anastasiou E. Agriculture 5.0: cutting-edge technologies, trends and challenges. IT Professional. 2024;26(1):40-7. https://doi.org/10.1109/MITP.2024.3358972
  32. 32. Hedley C. The role of precision agriculture for improved nutrient management on farms. J Sci Food Agric. 2015;95(1):12-19. https://doi.org/10.1002/jsfa.6734
  33. 33. Ahmed S, Marwat SN, Brahim GB, Khan WU, Khan S, Al-Fuqaha A, et al. IoT based intelligent pest management system for precision agriculture. Sci Rep. 2024;14(1):31917. https://doi.org/10.1038/s41598-024-83012-3
  34. 34. SS VC, Hareendran A, Albaaji GF. Precision farming for sustainability: an agricultural intelligence model. Comput Electron Agric. 2024;226:109386. https://doi.org/10.1016/j.compag.2024.109386
  35. 35. Wang J, Wang Y, Li G, Qi Z. Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications. Agronomy. 2024;14(9):1975. https://doi.org/10.3390/agronomy14091975
  36. 36. Wang Y, Zeng S. From planting to harvesting: the role of agricultural machinery in crop cultivation. Agriculture. 2025;15(10):1101. https://doi.org/10.3390/agriculture15101101
  37. 37. Abdullah HM, Islam MN, Saikat MH, Bhuiyan MA. Precision agriculture practices from planting to postharvest: scopes, opportunities and challenges of innovation in developing countries. Precis Agric. 2024:3-26. https://doi.org/10.1016/B978-0-323-91068-2.00014-X
  38. 38. Getahun S, Kefale H, Gelaye Y. Application of precision agriculture technologies for sustainable crop production and environmental sustainability: a systematic review. Sci World J. 2024;2024(1):2126734. https://doi.org/10.1155/2024/2126734
  39. 39. Sanyaolu M, Sadowski A. The role of precision agriculture technologies in enhancing sustainable agriculture. Sustainability. 2024;16(15):6668. https://doi.org/10.3390/su16156668
  40. 40. Padhiary M, Hoque A, Prasad G, Kumar K, Sahu B. Precision agriculture and AI-driven resource optimization for sustainable land and resource management. Smart water technology for sustainable management in modern cities. IGI Global Scientific Publishing; 2025. p. 197-232. https://doi.org/10.4018/979-8-3693-8074-1.ch009
  41. 41. Rehman AU, Alamoudi Y, Khalid HM, Morchid A, Muyeen SM, Abdelaziz AY. Smart agriculture technology: an integrated framework of renewable energy resources, IoT-based energy management and precision robotics. Clean Energy Syst. 2024;9:100132. https://doi.org/10.1016/j.cles.2024.100132
  42. 42. Toromade AS, Chiekezie NR. GIS-driven agriculture: pioneering precision farming and promoting sustainable agricultural practices. World J Adv Sci Technol. 2024;6(1):57-72. https://doi.org/10.53346/wjast.2024.6.1.0047
  43. 43. Abdelhak M. Innovative techniques for soil and water conservation. Ecosystem management: climate change and sustainability; 2024. p. 291-326. https://doi.org/10.1002/9781394231249.ch9
  44. 44. Fuentes-Peñailillo F, Gutter K, Vega R, Silva GC. Transformative technologies in digital agriculture: leveraging internet of things, remote sensing and artificial intelligence for smart crop management. J Sens Actuator Netw. 2024;13(4):39. https://doi.org/10.3390/jsan13040039
  45. 45. Wasay A, Ahmed Z, Abid AU, Sarwar A, Ali A. Optimizing crop yield through precision agronomy techniques. Trends Biotechnol. 2024;2(1):25-35. https://doi.org/10.62460/TBPS/2024.014
  46. 46. Sharada K, Choudhary SL, Harikrishna T, Dixit RS, Suman SK, Ayyappa Chakravarthi M, et al. GeoAgriGuard: AI-driven pest and disease management with remote sensing for global food security. Remote Sens Earth Syst Sci. 2025;8(2):409-22. https://doi.org/10.1007/s41976-025-00192-w
  47. 47. Farooqui NA, Haleem M, Khan W, Ishrat M. Precision agriculture and predictive analytics: enhancing agricultural efficiency and yield. Intelligent Techniques for Predictive Data Analytics. 2024;171-88. https://doi.org/10.1002/9781394227990.ch9
  48. 48. Hu T, Zhang X, Khanal S, Wilson R, Leng G, Toman EM, et al. Climate change impacts on crop yields: a review of empirical findings, statistical crop models and machine learning methods. Environ Model Softw. 2024;179:106119. https://doi.org/10.1016/j.envsoft.2024.106119
  49. 49. Adinarayana S, Raju MG, Srirangam DP, Prasad DS, Kumar MR, Veesam SB. Enhancing resource management in precision farming through AI-based irrigation optimization. How machine learning is innovating today's world: a concise technical guide; 2024. p. 221-51. https://doi.org/10.1002/9781394214167.ch15
  50. 50. Ramírez-Márquez C, Posadas-Paredes T, Raya-Tapia AY, Ponce-Ortega JM. Natural resource optimization and sustainability in society 5.0: a comprehensive review. Resources. 2024;13(2):19. https://doi.org/10.3390/resources13020019
  51. 51. Kamyab H, SaberiKamarposhti M, Hashim H, Yusuf M. Carbon dynamics in agricultural greenhouse gas emissions and removals: a comprehensive review. Carbon Lett. 2024;34(1):265-89. https://doi.org/10.1007/s42823-023-00647-4
  52. 52. Galieni A, D'Ascenzo N, Stagnari F, Pagnani G, Xie Q, Pisante M. Past and future of plant stress detection: an overview from remote sensing to positron emission tomography. Front Plant Sci. 2021;11:609155. https://doi.org/10.3389/fpls.2020.609155
  53. 53. Nguyen C, Sagan V, Maimaitiyiming M, Maimaitijiang M, Bhadra S, Kwasniewski MT. Early detection of plant viral disease using hyperspectral imaging and deep learning. Sensors. 2021;21(3):742. https://doi.org/10.3390/s21030742
  54. 54. Mathenge M, Sonneveld BG, Broerse JE. Application of GIS in agriculture in promoting evidence-informed decision making for improving agriculture sustainability: a systematic review. Sustainability. 2022;14(16):9974. https://doi.org/10.3390/su14169974
  55. 55. Roy PP, Abdullah MS, Siddique IM. Machine learning empowered geographic information systems: advancing spatial analysis and decision making. World J Adv Res Rev. 2024;22(1):1387-97. https://doi.org/10.30574/wjarr.2024.22.1.1200
  56. 56. Raza D, Shu H, Nazeer M, Aslam H, Mirza S, Xiao X, et al. Improved method for cropland extraction of seasonal crops from multi-sensor satellite data. Int J Remote Sens. 2024;45(18):6249-84. https://doi.org/10.1080/01431161.2024.2388864
  57. 57. Pazhanivelan S, Kumaraperumal R, Vishnu Priya M, Rengabashyam K, Shankar K, Nivas Raj M, et al. Multi-temporal analysis of cropping patterns and intensity using optical and SAR satellite data for sustaining agricultural production in Tamil Nadu, India. Sustainability. 2025;17(4):1613. https://doi.org/10.3390/su17041613
  58. 58. Ghosh A, Nanda MK, Sarkar D, Sarkar S, Brahmachari K, Mainuddin M. Assessing the cropping intensity dynamics of the Gosaba CD block of Indian Sundarbans using satellite-based remote sensing. Environment, Development and Sustainability. 2024;26(3):6341-76. https://doi.org/10.1007/s10668-023-02966-y

Downloads

Download data is not yet available.