Design and Implementation of Solar Powered Automatic Pesticide Sprayer for Agriculture

Anuradha, T.; Ramya, K.; Selvam, R

doi:10.1088/1742-6596/1362/1/012048

Cited by 3 publications

(3 citation statements)

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“…The final phase is regional, global, and open control loops and IoT [7,8]. Examples Seamless internet of things supply chain management and product life cycle management [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

IoT Framework for Measurement and Precision Agriculture: Predicting the Crop Using Machine Learning Algorithms

et al. 2022

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IoT architectures facilitate us to generate data for large and remote agriculture areas and the same can be utilized for Crop predictions using this machine learning algorithm. Recommendations are based on the following N, P, K, pH, Temperature, Humidity, and Rainfall these attributes decide the crop to be recommended. The data set has 2200 instances and 8 attributes. Nearly 22 different crops are recommended for a different combination of 8 attributes. Using the supervised learning method, the optimum model is attained using selected machine learning algorithms in WEKA. The Machine learning algorithm selected for classifying is multilayer perceptron rules-based classifier JRip, and decision table classifier. The main objective of this case study is to end up with a model which predicts the high yield crop and precision agriculture. The proposed system modeling incorporates the trending technology, IoT, and Agriculture needy measurements. The performance assessed by the selected classifiers is 98.2273%, the Weighted average Receiver Operator Characteristics is 1 with the maximum time taken to build the model being 8.05 s.

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“…The final phase is regional, global, and open control loops and IoT [7,8]. Examples Seamless internet of things supply chain management and product life cycle management [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

IoT Framework for Measurement and Precision Agriculture: Predicting the Crop Using Machine Learning Algorithms

et al. 2022

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“…Traditional spraying involves direct contact with hazardous pesticides. Farmers become chronically intoxicated while performing activities such as mixing, loading, spraying, and cleaning spray pumps, which can lead to chronic diseases such as skin cancer, respiratory diseases, multiple basal cell carcinomas, and squamous cell carcinomas [6].The farmers feel fatigued, dizzy, or have headaches because of the constant manual spraying [7]. Today's world requires technology.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This research concluded that there was a significant relationship between pesticide-using methods and the health impacts on farmers and workers. In the paper "Design and Implementation of Solar Powered Automatic Pesticide Sprayer for Agriculture" [7], the author develops a pesticide mixer that automatically mixes the pesticide and water in a particular ratio, and the mixer is automatically sprayed onto the field on the programmed date with the help of a PLC. Also, soil moisture conditions and the water level are monitored using moisture sensors and ultrasonic sensors.…”

Section: Literature Reviewmentioning

confidence: 99%

Automatic Pesticide Sprayer Bot

Bhatlawande,

Shinde,

Shekhavat

et al. 2022

IJCERT

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Pesticide spraying is a necessary activity in agriculture to get higher yields and protect our crops from weeds, insects, and fungi. As a result, manual pesticide spraying is practiced in most parts of India. Manual spraying results in direct contact with pesticides, which give birth to numerous health problems, including severe diseases for farmers. As a part of the solution, we propose an automatic pesticide sprayer. Using this bot, farmers will be able to spray pesticides remotely without any physical contact during spraying. Generally, more than one person is involved in manual spraying, but using this bot, a single person can operate spraying activities using a mobile application remotely.

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