Neural network for predicting eggs of Trichoplusia ni in plants of brassica varieties using weather data (mean temperature, rainfall, and relative humidity from 15 prior), host plant (broccoli, cabbage, and cauliflower), and days after transplanting as input variables
Insect pests are a major cause of crop loss globally. Pest management will be effective and efficien...
As smart farms are applied to agricultural fields, the use of big data is becoming important. In ord...
The purpose of this study is to establish a system for the prediction of the pests’ risk level in a ...
Neural networks consist of highly parallel, interconnected, simple processing units. These systems d...
In this study, the classification of white cabbage seedling images is modeled with convolutional neu...
The aim of the work was to produce three independent, multi-criteria models for the prediction of wi...
This paper presents the structure, usage and assessment of a convolutional neural system-based metho...
ABSTRACT: Identifying daily oviposition events for individual broiler breeders is important for bird...
A given model of yield forecasting using an artificial neural network connects the wheat crop with t...
Abstract: By considering various situations of climatologically phenomena affecting local weather co...
In Bangladesh, eggplant is a widely grown crop that is vital to the country’s food security. The veg...
Prediction of Crop yield focuses primarily on agriculture research which will have a significant eff...
Crop yield prediction has an important role in agricultural policies such as specification of the cr...
Neural networks are capable of modeling any complex function and can be used in the poultry and anim...
The prediction of the maturity date of leafy greens in a planting environment is an essential resear...
Insect pests are a major cause of crop loss globally. Pest management will be effective and efficien...
As smart farms are applied to agricultural fields, the use of big data is becoming important. In ord...
The purpose of this study is to establish a system for the prediction of the pests’ risk level in a ...
Neural networks consist of highly parallel, interconnected, simple processing units. These systems d...
In this study, the classification of white cabbage seedling images is modeled with convolutional neu...
The aim of the work was to produce three independent, multi-criteria models for the prediction of wi...
This paper presents the structure, usage and assessment of a convolutional neural system-based metho...
ABSTRACT: Identifying daily oviposition events for individual broiler breeders is important for bird...
A given model of yield forecasting using an artificial neural network connects the wheat crop with t...
Abstract: By considering various situations of climatologically phenomena affecting local weather co...
In Bangladesh, eggplant is a widely grown crop that is vital to the country’s food security. The veg...
Prediction of Crop yield focuses primarily on agriculture research which will have a significant eff...
Crop yield prediction has an important role in agricultural policies such as specification of the cr...
Neural networks are capable of modeling any complex function and can be used in the poultry and anim...
The prediction of the maturity date of leafy greens in a planting environment is an essential resear...
Insect pests are a major cause of crop loss globally. Pest management will be effective and efficien...
As smart farms are applied to agricultural fields, the use of big data is becoming important. In ord...
The purpose of this study is to establish a system for the prediction of the pests’ risk level in a ...
DOI
Add to ORKG