• No results found

crop yield

CROP YIELD PREDICTION

CROP YIELD PREDICTION

... net yield rate of the crop, based on the parameters related to soil and ...the crop yield and suggest the best crop thereby improving the quality and profitability of the agricultural ...

6

Utility of dynamical seasonal forecasts in predicting crop yield

Utility of dynamical seasonal forecasts in predicting crop yield

... Centre crop growth modelling system at the level of administrative regions in ...‘reliable crop yield predictions can be obtained using an ensemble multi–model ...

12

Efficient Classification And Regression Techniques To Predict Crop Yield

Efficient Classification And Regression Techniques To Predict Crop Yield

... obtain yield prediction by implementing generalized linear model, deep learning, decision tree, random forest, and gradient boosted trees and support vector machine ...the crop yield predictions were ...

5

Design And Implementation Of Crop Yield Prediction Model  In Agriculture

Design And Implementation Of Crop Yield Prediction Model In Agriculture

... the crop yield present in the dataset using appropriate supervised learning ...finding crop yield for any of new data occurred in the ...detecting crop yield and feature ...

6

The Role of Trehalose 6-Phosphate in Crop Yield and Resilience

The Role of Trehalose 6-Phosphate in Crop Yield and Resilience

... significant yield improvements achieved in maize carrying MADS6-TPP (Nuccio et ...for crop yields, T6P is likely to feature strongly in future crop yield and resilience improvement ...

13

Enhancing crop yield by optimizing plant developmental features

Enhancing crop yield by optimizing plant developmental features

... Considering that developmental and architectural traits are of utmost importance for the overall performance of crop plants, an efficient way of high-throughput phenotyping these traits is crucial for the success ...

12

A Survey on Crop Yield Prediction based on Agricultural Data

A Survey on Crop Yield Prediction based on Agricultural Data

... Sujatha et al describes the purpose of various classification techniques that could be used for crop yield prediction. A few of the data mining methods, such as the Naïve Bayes, J48, random forests, support ...

7

Doubling of crop yield through permutation of metabolic pathways

Doubling of crop yield through permutation of metabolic pathways

... the enzyme is an important control point in lipid biosyn- thesis [49]. ACCase controls the production of fats in peanut [22] similar to soybean [50]. In PK-treated peanut where the mRNA encoding ACCase was not down- ...

16

Evaluation of the integrated Canadian crop yield forecaster (ICCYF) model for in-season prediction of crop yield across the Canadian agricultural landscape

Evaluation of the integrated Canadian crop yield forecaster (ICCYF) model for in-season prediction of crop yield across the Canadian agricultural landscape

... the crop lands ...specific crop mask used to filter the NDVI pixels is thus, more representative in AB and SK CARs than in MB CARs; (3) many studies ...the crop yield variations in AB and SK are ...

14

The Role of Trehalose 6-Phosphate in Crop Yield and Resilience

The Role of Trehalose 6-Phosphate in Crop Yield and Resilience

... improving crop yields in favorable and poor conditions ...both crop yield potential and yield resilience simultaneously, since the mechanisms that determine productivity and stress tolerance ...

14

Groundnut Crop Yield Prediction Using Machine Learning Techniques

Groundnut Crop Yield Prediction Using Machine Learning Techniques

... much yield he is about to expect. In the past, yield prediction was performed by considering farmer's experience on particular field and ...predict crop yield using machine-learning technique. ...

5

IMPACTS OF CHANGING SNOWMELT TIMING ON NON-IRRIGATED CROP YIELD

IMPACTS OF CHANGING SNOWMELT TIMING ON NON-IRRIGATED CROP YIELD

... barley yield in the majority of multiple linear regression ...higher crop yield, on ...decreased yield. Although snowmelt timing significantly impacts barley yield in all interaction ...

98

A Data Mining Method for Weather Change Impacts on Crop Yield

A Data Mining Method for Weather Change Impacts on Crop Yield

... The crop yield of certain agriculture region is depends on the weather and soil conditions of that region because weather can make huge impact on crop ...

5

An intelligent system based on kernel methods for crop yield prediction

An intelligent system based on kernel methods for crop yield prediction

... Abstract. This paper presents work on developing a software system for pre- dicting crop yield from climate and plantation data. At the core of this system is a method for unsupervised partitioning of data ...

6

Rice Crop Yield Forecasting Using Random Forest Algorithm

Rice Crop Yield Forecasting Using Random Forest Algorithm

... rice crop yield. Developing accurate models for crop yield estimation using Information and Communication Technologies may help farmers and other stakeholders improve decision making in ...

8

New approaches to crop yield insurance in developing countries:

New approaches to crop yield insurance in developing countries:

... For a rainfall index, the degree of correlation between net receipts from the index and farm income will play a large role in the effectiveness of the risk protection offered to a farmer. With higher correlation there ...

40

Efficient Crop Yield Prediction using Machine Learning Algorithms

Efficient Crop Yield Prediction using Machine Learning Algorithms

... ----------------------------------------------------------------------------***------------------------------------------------------------------------------ Abstract: Descriptive analytics is the initial state of ...

9

Delineation of management zones using multiple crop yield data

Delineation of management zones using multiple crop yield data

... the crop yield data, which is often skewed and have extreme values, do not seem to follow any of those pre-defined ...appropriate crop yield data standardisation ...the crop ...

7

Agricultural Crop Yield Prediction using Deep Learning Approach

Agricultural Crop Yield Prediction using Deep Learning Approach

... Most widely used ANN is feed forward back propagation artificial neural network. The method has been applied for modelling and forecasting of various crop yield on the basis of various predictor variables, ...

5

Influence of soil properties on crop yield: a multivariate statistical approach

Influence of soil properties on crop yield: a multivariate statistical approach

... By applying stepwise multivariate linear regression ana- lysis (SMLR), several authors have found that pedological indicators have a significant relationship with crop yield (Andrews and Carrol, 2001; ...

8

Show all 7795 documents...

Related subjects