Abstract Machine learning is one of the emerging technologies that has grabbed the
attention of academicians and industrialists, and is expected to evolve in the near future …

Grape cultivation has social and economic importance in India. In India, Maharashtra ranks
first in grapes production. Over the last few years the quality of grapes has degraded …

Agriculture sector is most vulnerable to climate change. To predict the crop yield in
accordance with the changing climate is a need of hour than choice. To know the climate in …

Abstract Machine learning with IoT practices in the agriculture sector has the potential to
address numerous challenges encountered by farmers, including disease prediction and …

With nutritional benefits, fruits are important part of human diets. These crops not only play
an important role in nutritional security but also offer gainful employment and enhanced …

Abstract Remote Sensing, GIS and GPS plays a vital component in monitoring vineyard
cultivation in a near real time manner for delivering appropriate management inputs. A crux …

Prediction of the crop yield is need of time according to the change in climate conditions. In
the present study, the Agro-Climatic Grape Yield (ACGY) model has been developed with …

This paper presents the latest research in using deep learning methods for detecting plant
disease using leaf images. It is estimated that early detection and treatment can save up to …

Early information on crops spatial extent is useful from food security standpoint. Growing
number of remote sensing satellites are making it easier to map the crop areas in a rapid …

Grape farming is one of the most lucrative agricultural enterprises in India. There are several
biotic and abiotic stress conditions that may adversely affect the yield if not tackled at the …