Document Type : Original Article
Al-Hchami, S. H. J., & Alrawi, T.K., (2020). Nano fertilizer, benefits and effects on fruit trees: a review. Plant Archives, 20(1), 1085-1088.
Arab, M. M., Marrano, A., Abdollahi-Arpanahi, R., Leslie, C. A., Askari, H., Neale, D. B., & Vahdati, K. (2019). Genome-wide patterns of population structure and association mapping of nut-related traits in Persian walnut populations from Iran using the Axiom J. regia 700K SNP array. Scientific reports, 9(1), 1-14.
Dalla Costa, L., Malnoy, M., & Gribaudo, I., (2017). Breeding next generation tree fruits: technical and legal challenges. Horticulture Research, 4(1), 1-11.
Deng, L., Lyu, Q., & Yang, S. X., 2015. Intelligent information technologies in fruit industry. Intelligent Automation & Soft Computing, 21(3), 265-267.
Fernandes, A. F. A., Dórea, J. R. R., & Rosa, G. J. M. (2020) Image Analysis and Computer Vision Applications in Animal Sciences: An Overview. Front. Veterinary Sciences, 7:551269. doi: 10.3389/fvets.2020.551269.
Groher, T., Heitkämper, K., Walter, A., Liebisch, F., & Umstätter, C. (2020). Status quo of adoption of precision agriculture enabling technologies in Swiss plant production. Precision Agriculture, 21(6), 1327-1350.
Hemming, S., de Zwart, F., Elings, A., & Petropoulou, A. S. (2019). Remote Control of Greenhouse Vegetable Production with Artificial Intelligence—Greenhouse Climate, Irrigation, and Crop Production. Sensors, 19(8), 1807.
Hemming, S., de Zwart, F., Elings, A., & Righini, I. (2020). Cherry Tomato Production in Intelligent Greenhouses—Sensors and AI for Control of Climate, Irrigation, Crop Yield, and Quality. Sensors, 19(8), 1807.
Homer, I., García-Ramos, F. J., Ortiz-Cañavate, J., & Ruiz-Altisent, M. (2010). Evaluation of a Non-Destructive Impact Sensor to Determine On-Line Fruit Firmness. Chilean Journal of Agricultural Research, 70(1), 67–74.
Huang, A. (2021). Transforming the Agricultural Industry; IBM: New York, NY, USA. Retrieved from https://www.ibm.com/blogs/internet-of-things/agricultural-industry/i.
Jia, W., Zhang, Y., Lian, J., Zheng, Y., Zhao, D., & Li, C., (2020). Apple harvesting robot under information technology: A review. International Journal of Advanced Robotic Systems, 17(3), 1-16.
Ku, L. (2020). New agriculture technology in modern farming. Retrieved from https://www.plugandplaytechcenter.com/resources/new-agriculture-technology-modern-farming/.
Meuwissen, T., Hayes, B., & Goddard, M. (2016). Genomic selection: A paradigm shift in animal breeding, Animal Frontiers, 6(1), 6–14.
Mohan Jain, S. (2002). A review of induction of mutations in fruits of tropical and subtropical regions. Acta Horticulturae, 575, 295-302.
Pretty, J., Sutherland, W. J., Ashby, J., Auburn, J., Baulcombe, D., et al. (2010). The top 100 questions of importance to the future of global agriculture, International Journal of Agricultural Sustainability, 8:4, 219-236, DOI: 10.3763/ijas.2010.0534
REN21. 2021.Renewables (2021) Global Status Report (Paris: REN21 Secretariat). ISBN 978-3-948393-03-8.
Rinskje, K. (2021) Dacom and Crop-R Join Forces under Dacom Farm Intelligence, Dacom, Emmen, Nederland. Retrieved from https://en.dacom.nl/news/dacom-and-crop-r-join-forces.
Van Eenennaam, A. L., Figueiredo, D., Silva, F., Trott J. F., & Zilberman, D. (2021). Genetic Engineering of Livestock: The Opportunity Cost of Regulatory Delay. Annual Review of Animal Biosciences, 16(9), 453-478. doi: 10.1146/annurev-animal-061220-023052. Epub 2020 Nov 13. PMID: 33186503.
World Government Summit (WGS). (2022). Arab Region SDG Index and Dashboard Report. Sustainable development solutions network.
Zhijun, W., Yuefeng, L., Meng, J., Shuhan, C., & Yucun, W. (2015). Research on image retrieval of fruit tree plant-diseases and pests based on Nprod. Intelligent Automation and Soft Computing, 21(3), 371-381.