Agriculture is the foundation of many countries' economies, particularly in India and Tamil Nadu. The young generation who are new to farming may confront challenge not understanding what sow reap benefit from. This a problem that has be addressed, it one we addressing. Predicting proper crop production will aid making better decisions, reducing losses managing risk price fluctuations. existing...

Abstract Fluctuation of monthly rainfall resulted in fluctuation rubber yield. This study was aimed to determine a model predict yield based on soil water content. conducted at Indonesian Rubber Research Institute, South Sumatera May 2022. The plant materials used this were clones PB 260 that planted 2001 two blocks field. texture these clay loam with good drainage conditions. average content a...

Crop yield forecasting mainly focus on the domain of agriculture research which has a great impact making decisions like import-export, pricing and distribution respective crops. Accurate predictions with well timed forecasts is very important tremendously challenging task due to numerous complex factors. Mainly crops wheat, rice, peas, pulses, sugarcane, tea, cotton, green houses etc. can be u...

MOTIVATION Prediction of protein secondary structure provides information that is useful for other prediction methods like fold recognition and ab initio 3D prediction. A consensus prediction constructed from the output of several methods should yield more reliable results than each of the individual methods. METHOD We present an approach that reveals subtle but systematic differences in the ...

This work investigates the process of yield prediction in cotton crop production using the soft computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy logic and cognitive map theories, and is used formodeling and representing experts’ knowledge. It is capable of dealingwith situations including uncertain descriptions using similar procedure such as human rea...

Wheat is one of the most grown crops in the world. The yield of the wheat can be reduced by fungal infections, like the powdery mildew. The prediction of infestations, that can endanger the yield, is of corresponding importance. This report presents an approach to predict such infestation events in a spatial and temporal dimension, considering hourly weather and longtime climate data. Furthermo...

When output data is missing in a system identi cation scenario, it is not the Euclidean norm of the prediction error vector per se that should be minimized. Doing so will almost always yield biased parameter estimates. Two algorithms for estimation of the parameters, which can handle both missing output data and missing input data, are presented. The criterion minimized in the algorithms is the...

Precision agriculture is a new approach to farming in which environmental characteristics at a sub-field level are used to guide crop production decisions. Instead of applying management actions and production inputs uniformly across entire fields, they are varied to match site-specific needs. A first step in this process is to define spatial regions having similar characteristics and to build ...