Related Experiment Video
Updated: Aug 28, 2025
10:49
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
Published on: March 16, 2019
8.6K
Optimization of Pesticides Spray on Crops in Agriculture using Machine Learning.
Indu1, Anurag Singh Baghel1, Arpit Bhardwaj2
1Department of Computer Science and Engineering, USICT, Gautam Buddha University, Greater Noida, India.
Computational Intelligence and Neuroscience
|September 15, 2022
Summary
This study introduces machine learning algorithms and adjuvants to reduce repetitive pesticide use in agriculture, mitigating environmental and health risks. These methods help identify specific crop areas needing treatment, optimizing pesticide application and minimizing overuse.
Area of Science:
- Agricultural Science
- Environmental Science
- Computer Science
Background:
- Pesticide use in agriculture is widespread for crop protection, leading to increased environmental and health concerns due to repetitive application.
- Occupational and environmental exposure to pesticides is rising, posing risks to human and animal health.
- Current agricultural practices often involve repeated application of the same pesticides, exacerbating negative impacts.
Purpose of the Study:
- To investigate the use of adjuvants and machine learning algorithms to control the repetitive application of pesticides in agriculture.
- To develop a method for optimizing pesticide usage by identifying specific crop sections that require treatment.
- To reduce the adverse effects of pesticides on human health, animal health, and the environment.
Main Methods:
- Utilizing machine learning algorithms, including logical regression classification, polynomial regression, and K-nearest neighbor (KNN).
- Employing adjuvants to enhance pesticide performance and efficacy.
- Developing a system to predict and identify crop field sections requiring pesticide application, thereby avoiding blanket spraying.
Main Results:
- The research aims to demonstrate a significant reduction in repetitive pesticide spraying through the application of machine learning.
- Predicts that 72.5% of insecticides are used in India, highlighting a key region for potential intervention.
- The proposed methods are expected to optimize pesticide application, leading to more targeted and efficient crop protection.
Conclusions:
- Machine learning algorithms and adjuvants offer a viable solution to control and reduce repetitive pesticide use in agriculture.
- Optimized pesticide application can mitigate the detrimental effects on human health, animal health, and the environment.
- This approach represents a significant advancement in sustainable agricultural practices and pest management.
More Related Videos
Related Concept Videos
01:25Multiple Regression
3.1K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.1K
02:16Light Acquisition
8.6K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.6K
01:28Pipe Flowrate Measurement: Problem Solving
597
A spray tank system is engineered to uniformly distribute a pest-control liquid across plants by using a pressurized mechanism. The tank, pressurized to 150 kPa, holds the pesticide at a height of 0.80 meters. Liquid flows from the tank through a 1.9 meter pipe with a diameter of 0.015 meters, angled at 0.698 radians, ultimately reaching a 0.007 meter nozzle that sprays the pesticide. Accurate calculation of the system's flow rate is crucial to ensure uniform application, and this is...
597