Smart mechanization of tapioca planting: Integrating AI and advanced technologies

Conventional farming guidelines lack detail, providing crop suggestions without location-based advice. This makes it challenging for farmers to make informed decisions about where to plant crops, affecting their productivity and profitability. The reason for tackling this issue lies in the potential of cassava, a crop that can withstand drought conditions to thrive if the right areas are identified accurately. This evaluation has a look at the way in which advanced technologies as well as artificial intelligence (AI) can be used to revolutionize mechanized cassava planting, with the objective of increasing productivity and sustainability. Cassava, a nutrition base for over 500 million people worldwide, is sourced from India, especially in the Tamil Nadu and Kerala regions. However, its existence is subject to certain problems that are linked to the conventional method of planting, like inconsistency in planting depths, wrong sweating of the stem and clogging of the channel, which all in turn serve to lower yields and increase labor costs. The former factors caused by mechanical devices like two-ploughed and three-ploughed planters have already been close to the economies of scale by achieving better planting efficiencies and consistency, but they are still presenting some difficulties. Some of the latest advances, such as tractor-operated single-row stake cutter-planters and rotary dibble-type planters, provide alternatives that are not only cheaper but also have the highest degree of accuracy when it comes to planters. Furthermore, the introduction of IoT (Internet of Things) and machine learning and the use of big data analytics in farming are the new directions for precision agriculture. This review emphasizes that the research that is continually being carried out, the unbeatable innovation or technological development and the farmer education that is expected to be high enough are crucial for the full realization of smart in cassava cultivation. In this way, we will be closer to a more sustainable type of agriculture and improved food security. By embracing these innovations, agriculture can be modernized, empowering farmers to overcome obstacles and achieve increased productivity. The data and findings highlighted in the review demonstrate the effectiveness of mechanization in revolutionizing practices and bolstering global food security.

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Publication Details

Journal
Plant Science Today
Published
2025-05-29
DOI
https://doi.org/10.14719/pst.8234
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart mechanization of tapioca planting: Integrating AI and advanced technologies

A. Surendrakumar, V Sivakumar, R. Kavitha, A. Mohankumar et al.
Plant Science Today
Soil Mechanics and Vehicle Dynamics
article

Smart mechanization of tapioca planting: Integrating AI and advanced technologies

A. Surendrakumar, V Sivakumar, R. Kavitha, A. Mohankumar, Shramodaya
article en

Abstract

Conventional farming guidelines lack detail, providing crop suggestions without location-based advice. This makes it challenging for farmers to make informed decisions about where to plant crops, affecting their productivity and profitability. The reason for tackling this issue lies in the potential of cassava, a crop that can withstand drought conditions to thrive if the right areas are identified accurately. This evaluation has a look at the way in which advanced technologies as well as artificial intelligence (AI) can be used to revolutionize mechanized cassava planting, with the objective of increasing productivity and sustainability. Cassava, a nutrition base for over 500 million people worldwide, is sourced from India, especially in the Tamil Nadu and Kerala regions. However, its existence is subject to certain problems that are linked to the conventional method of planting, like inconsistency in planting depths, wrong sweating of the stem and clogging of the channel, which all in turn serve to lower yields and increase labor costs. The former factors caused by mechanical devices like two-ploughed and three-ploughed planters have already been close to the economies of scale by achieving better planting efficiencies and consistency, but they are still presenting some difficulties. Some of the latest advances, such as tractor-operated single-row stake cutter-planters and rotary dibble-type planters, provide alternatives that are not only cheaper but also have the highest degree of accuracy when it comes to planters. Furthermore, the introduction of IoT (Internet of Things) and machine learning and the use of big data analytics in farming are the new directions for precision agriculture. This review emphasizes that the research that is continually being carried out, the unbeatable innovation or technological development and the farmer education that is expected to be high enough are crucial for the full realization of smart in cassava cultivation. In this way, we will be closer to a more sustainable type of agriculture and improved food security. By embracing these innovations, agriculture can be modernized, empowering farmers to overcome obstacles and achieve increased productivity. The data and findings highlighted in the review demonstrate the effectiveness of mechanization in revolutionizing practices and bolstering global food security.

Plant Science TodayVol. 12(sp3)
Tamil Nadu Agricultural University (IN), Tamil Nadu Horticulture University (IN)
Openalex Percentile: Top 88%
Soil Mechanics and Vehicle Dynamics
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