WebAgriculture is indispensably responsible for the growth of India, as it contributes not only extensively to employment but also aids GDP. This primary sector mainly suffers the adversities due to types and level of nutrition in the soil, weather conditions, and various other factors. The datasets available for crop yield according to the state, daily weather … WebNov 17, 2024 · Agriculture is one of the major and the least paid occupation in India. Machine learning can bring a boom in the agriculture field by changing the income …
An Efficient Machine Learning Technique for Crop Yield Prediction ...
WebMay 19, 2024 · Agriculture Y ield Forecast. 2024 IEEE 14th ... for estimating the future year's crop production. This paper presents a brief analysis of crop yield prediction using Multiple Linear Regression ... WebJul 15, 2016 · The following article presents and discusses the most commonly used independent variables in agricultural crop yield prediction modeling based on artificial neural networks (ANNs), and particular attention is paid to environmental variables, such as climatic data, air temperature, total precipitation, insolation, and soil parameters. 28. PDF. fischer patent ochsner chords
IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS) …
WebSep 4, 2024 · This paper suggests an IoT based smart farming system along with an efficient prediction method called WPART based on machine learning techniques to predict crop productivity and drought for proficient decision support making in IoT based smart farming systems. The crop productivity and drought predictions is very important … WebJun 17, 2024 · Lodging, the permanent bending over of food crops, leads to poor plant growth and development. Consequently, lodging results in reduced crop quality, lowers crop yield, and makes harvesting difficult. Plant breeders routinely evaluate several thousand breeding lines, and therefore, automatic lodging detection and prediction is of … WebMay 17, 2024 · Weather Forecast Prediction: An Integrated Approach for Analyzing and Measuring Weather Data (Munmun Biswas, Tanni Dhoom, Sayantanu barua) This paper deals with the weather prediction using chi square and naïve bayes algorithms where the current weather data is taken into the dataset and extracted to get useful information for … camping tree tent