Data Science to Improve Agricultural Efficiency and Productivity | [Abstract Book on Global Science Technology and Management Conference • 2023]

Author(s):

1. Syeda Anum Masood Bokhari: Department of Horticulture, MNSUA, Multan, Pakistan

2. Syed Husnain Haider Bukhari: Foundation for Advancement of Science and Technology (FAST), NUCES, Islamabad, Pakistan

3. Bilal Ahmad: Agriculture Genomics Institute Shenzhen, China

4. Anusha Zubair: Foundation for Advancement of Science and Technology (FAST), NUCES, Islamabad, Pakistan

5. Ayesha: Department of Computer Science, MNSUA, Multan, Pakistan

6. Hakim: Department of Horticulture, MNSUA, Multan, Pakistan

7. H. Nazar Faried: Department of Horticulture, MNSUA, Multan, Pakistan

Abstract:

Agriculture and data science are two fields that have been transformed by technological breakthroughs. Climate change, growing global populations, and limited natural resources are main issues for the agriculture industry.The use of data science to boost the efficiency and production of agricultural systems is one potential solution to these constraints. The convergence of these domains has the potential to change the way we approach food production and sustainable farming.We can gain a more in-depth insight intothe elements that influence crop development and yield by analyzing huge volumes of data from many sources, such as sensors and satellite imaging, using data science approaches i.e. machine learning and predictive modeling.This data can be utilized to create more efficient pest and disease management methods, optimize irrigation, fertilization, and increase the overall efficiency of farming operations. Furthermore, data science can help us better understand agriculture's environmental implications and develop strategies to lower our carbon footprint and safeguard natural resources.To address the aforementioned challenges, a data-driven strategy to optimizeimportant components of the agricultural process is dire need of time.This will enable a more sustainable and productive future for our food systems by combining the power of data science with the most recent agricultural innovations.

Page(s): 243-243

DOI: DOI not available

Published: Journal: Abstract Book on Global Science Technology and Management Conference, Volume: 0, Issue: 0, Year: 2023

Keywords:

Productivity , Data Science , Agricultural Efficiency

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