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Digital Innovations in Agriculture

Author

Listed:
  • Gniewko Niedbała

    (Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 50, 60-627 Poznań, Poland
    These authors contributed equally to this work.)

  • Sebastian Kujawa

    (Department of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Wojska Polskiego 50, 60-627 Poznań, Poland
    These authors contributed equally to this work.)

Abstract

Digital agriculture, defined as the analysis and collection of various farm data, is constantly evolving [...]

Suggested Citation

  • Gniewko Niedbała & Sebastian Kujawa, 2023. "Digital Innovations in Agriculture," Agriculture, MDPI, vol. 13(9), pages 1-10, August.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:9:p:1686-:d:1225711
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    1. Basharat Ali & Peter Dahlhaus, 2022. "The Role of FAIR Data towards Sustainable Agricultural Performance: A Systematic Literature Review," Agriculture, MDPI, vol. 12(2), pages 1-17, February.
    2. Junchi Zhou & Wenwu Hu & Airu Zou & Shike Zhai & Tianyu Liu & Wenhan Yang & Ping Jiang, 2022. "Lightweight Detection Algorithm of Kiwifruit Based on Improved YOLOX-S," Agriculture, MDPI, vol. 12(7), pages 1-14, July.
    3. Mahnoor Khalid & Muhammad Shahzad Sarfraz & Uzair Iqbal & Muhammad Umar Aftab & Gniewko Niedbała & Hafiz Tayyab Rauf, 2023. "Real-Time Plant Health Detection Using Deep Convolutional Neural Networks," Agriculture, MDPI, vol. 13(2), pages 1-26, February.
    4. Yiping Peng & Lu Wang & Li Zhao & Zhenhua Liu & Chenjie Lin & Yueming Hu & Luo Liu, 2021. "Estimation of Soil Nutrient Content Using Hyperspectral Data," Agriculture, MDPI, vol. 11(11), pages 1-17, November.
    5. Patryk Hara & Magdalena Piekutowska & Gniewko Niedbała, 2023. "Prediction of Pea ( Pisum sativum L.) Seeds Yield Using Artificial Neural Networks," Agriculture, MDPI, vol. 13(3), pages 1-19, March.
    6. Geovanny Yascaribay & Mónica Huerta & Miguel Silva & Roger Clotet, 2022. "Performance Evaluation of Communication Systems Used for Internet of Things in Agriculture," Agriculture, MDPI, vol. 12(6), pages 1-22, May.
    7. Mohd Najib Ahmad & Abdul Rashid Mohamed Shariff & Ishak Aris & Izhal Abdul Halin, 2021. "A Four Stage Image Processing Algorithm for Detecting and Counting of Bagworm, Metisa plana Walker (Lepidoptera: Psychidae)," Agriculture, MDPI, vol. 11(12), pages 1-18, December.
    8. Ramūnas Antanaitis & Dovilė Malašauskienė & Mindaugas Televičius & Mingaudas Urbutis & Arūnas Rutkauskas & Greta Šertvytytė & Lina Anskienė & Walter Baumgartner, 2022. "Associations of Automatically Recorded Body Condition Scores with Measures of Production, Health, and Reproduction," Agriculture, MDPI, vol. 12(11), pages 1-13, November.
    9. Chidiebere Ofoegbu & Mark New, 2022. "Evaluating the Effectiveness and Efficiency of Climate Information Communication in the African Agricultural Sector: A Systematic Analysis of Climate Services," Agriculture, MDPI, vol. 12(2), pages 1-17, January.
    10. Piotr Boniecki & Agnieszka Sujak & Gniewko Niedbała & Hanna Piekarska-Boniecka & Agnieszka Wawrzyniak & Andrzej Przybylak, 2023. "Neural Modelling from the Perspective of Selected Statistical Methods on Examples of Agricultural Applications," Agriculture, MDPI, vol. 13(4), pages 1-19, March.
    11. Kaidong Lei & Chao Zong & Ting Yang & Shanshan Peng & Pengfei Zhu & Hao Wang & Guanghui Teng & Xiaodong Du, 2022. "Detection and Analysis of Sow Targets Based on Image Vision," Agriculture, MDPI, vol. 12(1), pages 1-19, January.
    12. Md. Abu Ayub Siddique & Seung-Min Baek & Seung-Yun Baek & Wan-Soo Kim & Yeon-Soo Kim & Yong-Joo Kim & Dae-Hyun Lee & Kwan-Ho Lee & Joon-Yeal Hwang, 2021. "Simulation of Fuel Consumption Based on Engine Load Level of a 95 kW Partial Power-Shift Transmission Tractor," Agriculture, MDPI, vol. 11(3), pages 1-17, March.
    13. Osinga, Sjoukje A. & Paudel, Dilli & Mouzakitis, Spiros A. & Athanasiadis, Ioannis N., 2022. "Big data in agriculture: Between opportunity and solution," Agricultural Systems, Elsevier, vol. 195(C).
    14. Lai Zhi Yong & Siti Khairunniza-Bejo & Mahirah Jahari & Farrah Melissa Muharam, 2022. "Automatic Disease Detection of Basal Stem Rot Using Deep Learning and Hyperspectral Imaging," Agriculture, MDPI, vol. 13(1), pages 1-16, December.
    15. Jae-Hyeong Choi & Soo Hyun Park & Dae-Hyun Jung & Yun Ji Park & Jung-Seok Yang & Jai-Eok Park & Hyein Lee & Sang Min Kim, 2022. "Hyperspectral Imaging-Based Multiple Predicting Models for Functional Component Contents in Brassica juncea," Agriculture, MDPI, vol. 12(10), pages 1-12, September.
    16. Patryk Hara & Magdalena Piekutowska & Gniewko Niedbała, 2022. "Prediction of Protein Content in Pea ( Pisum sativum L.) Seeds Using Artificial Neural Networks," Agriculture, MDPI, vol. 13(1), pages 1-21, December.
    17. Liangben Cao & Zihan Xiao & Xianghui Liao & Yuanzhou Yao & Kangjie Wu & Jiong Mu & Jun Li & Haibo Pu, 2021. "Automated Chicken Counting in Surveillance Camera Environments Based on the Point Supervision Algorithm: LC-DenseFCN," Agriculture, MDPI, vol. 11(6), pages 1-15, May.
    18. Hailong Zhao & Shu Gan & Xiping Yuan & Lin Hu & Junjie Wang & Shuai Liu, 2022. "Application of a Fractional Order Differential to the Hyperspectral Inversion of Soil Iron Oxide," Agriculture, MDPI, vol. 12(8), pages 1-20, August.
    19. Tsu Chiang Lei & Shiuan Wan & You Cheng Wu & Hsin-Ping Wang & Chia-Wen Hsieh, 2022. "Multi-Temporal Data Fusion in MS and SAR Images Using the Dynamic Time Warping Method for Paddy Rice Classification," Agriculture, MDPI, vol. 12(1), pages 1-23, January.
    20. Yu Jin & Jiawei Guo & Huichun Ye & Jinling Zhao & Wenjiang Huang & Bei Cui, 2021. "Extraction of Arecanut Planting Distribution Based on the Feature Space Optimization of PlanetScope Imagery," Agriculture, MDPI, vol. 11(4), pages 1-14, April.
    21. Muthumanickam Dhanaraju & Poongodi Chenniappan & Kumaraperumal Ramalingam & Sellaperumal Pazhanivelan & Ragunath Kaliaperumal, 2022. "Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture," Agriculture, MDPI, vol. 12(10), pages 1-26, October.
    22. Jun Sun & Tianhang Jiang & Yufei Song & Hao Guo & Yushi Zhang, 2022. "Research on the Optimization of Fresh Agricultural Products Trade Distribution Path Based on Genetic Algorithm," Agriculture, MDPI, vol. 12(10), pages 1-25, October.
    23. Yugong Dang & Gang Yang & Jun Wang & Zhigang Zhou & Zhidong Xu, 2022. "A Decision-Making Capability Optimization Scheme of Control Combination and PID Controller Parameters for Bivariate Fertilizer Applicator Improved by Using EDEM," Agriculture, MDPI, vol. 12(12), pages 1-23, December.
    24. Ramūnas Antanaitis & Vida Juozaitienė & Gediminas Urbonavičius & Dovilė Malašauskienė & Mindaugas Televičius & Mingaudas Urbutis & Walter Baumgartner, 2021. "Impact of Lameness on Attributes of Feeding Registered with Noseband Sensor in Fresh Dairy Cows," Agriculture, MDPI, vol. 11(9), pages 1-13, September.
    25. Ramūnas Antanaitis & Vida Juozaitienė & Dovilė Malašauskienė & Mindaugas Televičius & Mingaudas Urbutis & Gintaras Zamokas & Walter Baumgartner, 2021. "Prediction of Reproductive Success in Multiparous First Service Dairy Cows by Parameters from In-Line Sensors," Agriculture, MDPI, vol. 11(4), pages 1-11, April.
    26. Yang Chen & Xiaoyulong Chen & Jianwu Lin & Renyong Pan & Tengbao Cao & Jitong Cai & Dianzhi Yu & Tomislav Cernava & Xin Zhang, 2022. "DFCANet: A Novel Lightweight Convolutional Neural Network Model for Corn Disease Identification," Agriculture, MDPI, vol. 12(12), pages 1-22, November.
    27. Isakwisa Gaddy Tende & Kentaro Aburada & Hisaaki Yamaba & Tetsuro Katayama & Naonobu Okazaki, 2023. "Development and Evaluation of a Deep Learning Based System to Predict District-Level Maize Yields in Tanzania," Agriculture, MDPI, vol. 13(3), pages 1-19, March.
    28. Józef Gorzelany & Justyna Belcar & Piotr Kuźniar & Gniewko Niedbała & Katarzyna Pentoś, 2022. "Modelling of Mechanical Properties of Fresh and Stored Fruit of Large Cranberry Using Multiple Linear Regression and Machine Learning," Agriculture, MDPI, vol. 12(2), pages 1-13, January.
    29. Oskar Åström & Henrik Hedlund & Alexandros Sopasakis, 2023. "Machine-Learning Approach to Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Cultivation," Agriculture, MDPI, vol. 13(4), pages 1-13, March.
    30. Qiang Cui & Baohua Yang & Biyun Liu & Yunlong Li & Jingming Ning, 2022. "Tea Category Identification Using Wavelet Signal Reconstruction of Hyperspectral Imagery and Machine Learning," Agriculture, MDPI, vol. 12(8), pages 1-16, July.
    31. Chuandong Liang & Kui Pan & Mi Zhao & Min Lu, 2023. "Multi-Node Path Planning of Electric Tractor Based on Improved Whale Optimization Algorithm and Ant Colony Algorithm," Agriculture, MDPI, vol. 13(3), pages 1-19, February.
    32. Mohammad Rokhafrouz & Hooman Latifi & Ali A. Abkar & Tomasz Wojciechowski & Mirosław Czechlowski & Ali Sadeghi Naieni & Yasser Maghsoudi & Gniewko Niedbała, 2021. "Simplified and Hybrid Remote Sensing-Based Delineation of Management Zones for Nitrogen Variable Rate Application in Wheat," Agriculture, MDPI, vol. 11(11), pages 1-24, November.
    33. Ramūnas Antanaitis & Vida Juozaitienė & Gediminas Urbonavičius & Dovilė Malašauskienė & Mindaugas Televičius & Mingaudas Urbutis & Karina Džermeikaitė & Walter Baumgartner, 2021. "Identification of Risk Factors for Lameness Detection with Help of Biosensors," Agriculture, MDPI, vol. 11(7), pages 1-15, June.
    34. Hua Jin & Gang Meng & Yuanzhi Pan & Xing Zhang & Changda Wang, 2022. "An Improved Intelligent Control System for Temperature and Humidity in a Pig House," Agriculture, MDPI, vol. 12(12), pages 1-21, November.
    35. Houda Orchi & Mohamed Sadik & Mohammed Khaldoun, 2021. "On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey," Agriculture, MDPI, vol. 12(1), pages 1-29, December.
    36. Vida Juozaitienė & Ramūnas Antanaitis & Gediminas Urbonavičius & Mingaudas Urbutis & Saulius Tušas & Walter Baumgartner, 2021. "Can Milk Flow Traits Act as Biomarkers of Lameness in Dairy Cows?," Agriculture, MDPI, vol. 11(3), pages 1-13, March.
    37. Yugong Dang & Hongen Ma & Jun Wang & Zhigang Zhou & Zhidong Xu, 2022. "An Improved Multi-Objective Optimization Decision Method Using NSGA-III for a Bivariate Precision Fertilizer Applicator," Agriculture, MDPI, vol. 12(9), pages 1-23, September.
    38. Abid Nazir & Saleem Ullah & Zulfiqar Ahmad Saqib & Azhar Abbas & Asad Ali & Muhammad Shahid Iqbal & Khalid Hussain & Muhammad Shakir & Munawar Shah & Muhammad Usman Butt, 2021. "Estimation and Forecasting of Rice Yield Using Phenology-Based Algorithm and Linear Regression Model on Sentinel-II Satellite Data," Agriculture, MDPI, vol. 11(10), pages 1-14, October.
    39. Gniewko Niedbała & Danuta Kurasiak-Popowska & Magdalena Piekutowska & Tomasz Wojciechowski & Michał Kwiatek & Jerzy Nawracała, 2022. "Application of Artificial Neural Network Sensitivity Analysis to Identify Key Determinants of Harvesting Date and Yield of Soybean ( Glycine max [L.] Merrill) Cultivar Augusta," Agriculture, MDPI, vol. 12(6), pages 1-17, May.
    40. Cristian Silviu Simionescu & Ciprian Petrisor Plenovici & Constanta Laura Augustin & Maria Magdalena Turek Rahoveanu & Adrian Turek Rahoveanu & Gheorghe Adrian Zugravu, 2022. "Fuzzy Quality Certification of Wheat," Agriculture, MDPI, vol. 12(10), pages 1-13, October.
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