Machine learning has emerged with big data technologies and high-performance computing
to create new opportunities for data intensive science in the multi-disciplinary agri …

Diseases in plants cause major production and economic losses in agricultural industry
worldwide. Monitoring of health and detection of diseases in plants and trees is critical for …

This article examines the challenge and opportunities of Big Data, and concludes that these
technologies will lead to relevant analysis at every stage of the agricultural value chain. Big …

Automatic methods for an early detection of plant diseases are vital for precision crop
protection. The main contribution of this paper is a procedure for the early detection and …

Reliable, precise and accurate estimates of disease severity are important for predicting
yield loss, monitoring and forecasting epidemics, for assessing crop germplasm for disease …

Computer vision is a consistent and advanced technique for image processing, with the
propitious outcome, and enormous potential. A computer vision has been strongly adopted …

Accurate and timely wheat yield prediction is of great importance to global food security.
Early prediction of wheat yield at a field scale is essential for site-specific precision …

The presence of diseases in several kinds of fruits is the major factor of production and the
economic degradation of the agricultural industry worldwide. An approach for the apple …

The optimization of nitrogen (N) fertilization is the object of intense research efforts around
the world. Overfertilization is commonly used as a form of insurance against uncertain soil …

Diseases in fruit cause devastating problem in economic losses and production in
agricultural industry worldwide. In this paper, an adaptive approach for the identification of …