Crop cultivation prediction is an integral part of agriculture and is primarily based on factors
such as soil, environmental features like rainfall and temperature, and the quantum of …

Agriculture is a growing field of research. In particular, crop prediction in agriculture is critical
and is chiefly contingent upon soil and environment conditions, including rainfall, humidity …

Data pre-processing is a technique that transforms the raw data into a useful format for
applying machine learning (ML) techniques. Feature selection (FS) and feature extraction …

In the present competitive environment, a farmer needs better education, business expertise
and good knowledge of technologies and tools to be successful in agriculture. Farmers …

In this paper, we present an optimized Machine Learning (ML) algorithm for predicting land
suitability for crop (sorghum) production, given soil properties information. We set-up …

In agriculture, crop yield prediction is critical. Crop yield depends on various features
including geographic, climate and biological. This research article discusses five Feature …

In agriculture, crop yield prediction is critical. Crop yield depends on various features which
can be categorized as geographical, climatic, and biological. Geographical features consist …

Annotation: We are well recognised that the vast majority of Indians work in agriculture. Most
farmers always grow the same thing, always use the same amount of fertilizer, and always …

Earlier, crop cultivation was undertaken on the basis of farmers' hands-on expertise.
However, climate change has begun to affect crop yields badly. Consequently, farmers are …

The cultivation of most crops depends upon the regional weather conditions. So, the
analysis of the agro-climatic conditions of a zone contributes significantly to deciding the …