Exploring the Role of Smart Systems in Farm Machinery for Soil Fertility and Crop Productivity

Agriculture is experiencing a period of technological change, driven by the addition of intelligent technologies into agricultural technology. The integration of smart systems into farm machinery has greatly improved soil fertility management and crop productivity. Advanced technologies such as sensors, IoT, AI, and precision agriculture tools enable real-time monitoring of critical soil parameters, leading to targeted interventions for improving soil health. Automated machinery with GPS and AI-driven algorithms ensures efficient seed placement, precise fertilizer application, and weed management, thereby minimizing resource wastage and environmental impact. Such insights based on data allow farmers to take appropriate decisions based on changing conditions and improve farming practices sustainably, but their large-scale adaptation can be impeded due to high implementation costs, issues with privacy over the data, and expertise over technicalities. But even these challenges are seen in light of increasing yield, input costs reduced, and sustainability-promoting benefits, thereby raising productivity and meeting the causes for environmental conservation and food security.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-12-30
DOI
https://doi.org/10.22214/ijraset.2024.66157
Citations
6
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
3.60
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article

Exploring the Role of Smart Systems in Farm Machinery for Soil Fertility and Crop Productivity

Ahad Ahmed Laskar
6 citations
International Journal for Research in Applied Science and Engineering Technology
Smart Agriculture and AI
3.60
article

Exploring the Role of Smart Systems in Farm Machinery for Soil Fertility and Crop Productivity

Ahad Ahmed Laskar
article en
6 citations

Abstract

Agriculture is experiencing a period of technological change, driven by the addition of intelligent technologies into agricultural technology. The integration of smart systems into farm machinery has greatly improved soil fertility management and crop productivity. Advanced technologies such as sensors, IoT, AI, and precision agriculture tools enable real-time monitoring of critical soil parameters, leading to targeted interventions for improving soil health. Automated machinery with GPS and AI-driven algorithms ensures efficient seed placement, precise fertilizer application, and weed management, thereby minimizing resource wastage and environmental impact. Such insights based on data allow farmers to take appropriate decisions based on changing conditions and improve farming practices sustainably, but their large-scale adaptation can be impeded due to high implementation costs, issues with privacy over the data, and expertise over technicalities. But even these challenges are seen in light of increasing yield, input costs reduced, and sustainability-promoting benefits, thereby raising productivity and meeting the causes for environmental conservation and food security.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(12)
Zero hunger
Openalex Percentile: Top 7%
Smart Agriculture and AI
3.60
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Exploring the Role of Smart Systems in Farm Machinery for Soil Fertility and Crop Productivity — Ahad Ahmed Laskar · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS