Jute holds significant importance as a cash crop in Bangladesh and was once renowned as
the country's" golden fiber." Before embarking on a comprehensive strategy, it is crucial to …

Forecasts of crop yield are an important tool for a variety of stakeholders, but most studies
produce large-scale, late-season yield forecasts that are not appropriate for farmers …

Reliable data-driven models designed to accurately estimate cotton yield, an important
agricultural commodity, can be adopted by farmers, agricultural system modelling experts …

Yield prediction is a major determinant of many management decisions for crop production.
Farmers and their advisors want user-friendly decision support tools for predicting yield …

Abstract Artificial Intelligence based Web portal is extensively used in worldwide because it
used to solve various primary low level problems in agriculture such as predicting precise …

Forecasting of vegetable area, production, and productivity of Nepal was made from the
historical data of 1977/78 to 2019/20 by using the Box-Jenkins Autoregressive Integrated …

This study aims to evaluate the opportunity of integrating aquaponics as an environmentally
preferable procurement (EPP) solution in Romania, meant to improve productivity and …

Bangladesh is the world's 9 th largest tea producer and the tea industry is a major
contributor to the country's economy. In order to provide information about the demand …

Sustainable cotton production in current environmental conditions is under threat due to
climatic variability and shortage of ever-decreasing resources for agricultural crops. There is …

Countries can use forecasts to establish data-driven strategies and make educated
commercial decisions. In order to minimize rural poverty and unemployment in develo** …