Accurate prediction of crop yield before harvest is of great importance for crop logistics,
market planning, and food distribution around the world. Yield prediction requires monitoring …

Machine learning (ML) refers to the processes that enable computers to think based on
various learning methods. It can be also called domain which is a subset of Artificial …

Strawberry is ranked third in the value of production of the crops in Florida, USA. Classifying
strawberry maturity and monitoring strawberry growth status in the field is very critical for …

Highlights•Dataset collected in real orchards improved the robustness of the proposed
algorithm•The lightweight design of the detection network has high computation …

Greek agriculture is mainly based on olive tree cultivation. Farmers have always been
concerned about annual olive orchard production. The necessity for the improvement of …

Yield prediction of citrus provides critical information before harvest to growers and allied
industry to predict the resources required for workers, storage, and transportation of the …

The goal of this paper is to develop a deep learning model for predicting citrus yield. The
data used consists of two sources:(1) field data that includes information on fertilization and …

As our agricultural systems are expected to sustain a population of around 10 billion by
2050, and increase their production by nearly 50% globally, agricultural producers …

One of the major threats for crops around the world due to pest and diseases, which can
impact the health, economy, environment, and society at large. In general, several issues …

How to non-destructively and quickly estimate the storage time of citrus fruit is necessary
and urgent for freshness control in the fruit market. As a feasibility study, we present a non …