What is agri data and how it’s used todayAgri data refers to the collection of information from a wide range of sources that are used for tracking and optimising the supply chain in the agricultural industry. Big data analytics is becoming a crucial part of improving operations in just about every industry and agriculture is no exception. With the help of big data analytics, agri data can be analysed and integrated into actionable insights that can be used for forecasting, improving crop production, developing a better understanding of environmental challenges, and reducing waste, apart from improving efficiency and productivity within agribusinesses. Traditionally, agri data has been analysed in two ways:
- Dataset-centric, where the agri data is analysed by linking together compatible datasets for making better sense of the data that is available.
- Space-time-centric, where the datasets are analysed in relation to other important factors like location and time, in order to provide better insights than the dataset-centric approach.
A new way of exploring agri dataExperts are recommending a radical approach for exploring agri data, that’s a bit different from the traditional approaches that are being utilised predominantly in the agriculture industry today. This new and relatively underused approach is referred to as the domain-centric approach, where the agri data can be linked together with the real world tangible concepts of agriculture, such as a specific crop, livestock or food item. It’s being regarded as highly crucial for overcoming the kind of complex challenges that the future may hold for mankind, such as unpredictable weather changes, food shortages and supply chain issues. This new approach is expected to help the industry get better at ensuring end-to-end traceability, carbon accounting, and yield predictions. Moreover, it will save a significant amount of time for the users, while also flagging other pieces of information for them, that they may or may not have known as useful or relevant in their case. For example, when the users will look up a growing crop, the data model could also provide them with details of soil chemistry, weather forecast, satellite imagery, and drought risk calculation, among other pieces of information, that could potentially help them make better decisions.
What are the applications of this new approach of analysing agri data
Making drought predictionsGiven that the vast majority of crop failures across the world are water-related, access to the important insights related to the availability of water supply, weather forecast, and the rate of evapotranspiration can help reduce crop failures significantly. This is only possible by following a domain-centric approach when it comes to analysing agri data.
Improving supply chain managementBy closely tracking the various factors associated with the production, delivery and consumption of agricultural products, farmers and distributors can not only identify inefficiencies in the supply chains but also deliver their products faster and in a more cost-effective manner.
Transforming livestock care and productionIt’s not uncommon for illnesses to spread quickly in a herd of cattle before farmers can even realise there is something wrong with them. By using this new approach of data analytics together with advanced sensors, farmers can not only prevent such problems but also monitor the fertility and periods of higher milk production, without much effort on their part.
Making better risk assessmentOne of the most important applications of this new approach of data analysis and modelling would be to make farmers and agribusinesses better at risk assessment. With the help of IoT, drones, and satellite imagery, it’s now possible to collect and analyse various data points that can help everyone in the agricultural supply chain to reduce risk and consistently optimise for better outcomes.
Improving crop managementWithout having access to data, even the most experienced farmers can sometimes have failed growing seasons, which can prove very costly for their business. With the help of bioprospecting, it becomes easier to identify and grow a variety of crops in a way that improves efficiency and reduces the margin of error, when it comes to crop management. Gone are the days when agriculture was mostly guesswork. By adopting newer ways of exploring agri data, it’s now possible to achieve what was unthinkable just a few decades before.
- Awareness of alternative proteins is high amongst consumers, with 90% of respondents reporting that they had heard of plant-based proteins, 80% had heard of edible insects and 78% had heard of lab grown meat.
- Over three quarters (77%) of respondents perceived plant-based proteins as being safe to eat compared to half (50%) for edible insects and 3 in 10 (30%) for lab grown meat.
- Six in 10 respondents were willing to try plant-based proteins in their diet, the most common reasons were because they thought it was safe to eat (44%) and for health reasons (39%) or environmental or sustainability (36%) reasons. The biggest barrier to trying plant-based proteins was preference for traditional meats (36%).
- Around a third (34%) were willing to try lab grown meat and just over a quarter (26%) willing to try edible insects. Environmental and sustainability were the most common reasons for trying lab-grown meat (40%) and edible insects (31%).
- Respondents who were unwilling to try any of the alternative proteins tested were asked whether anything could encourage them to try it:
- Two in five (42%) reported that nothing could encourage them to try lab grown meat, but over a quarter (27%) could be persuaded if they knew it was safe to eat and 23% if they could trust that it was properly regulated.
- The majority (67%) reported that nothing could make them try edible insects. One in eight (13%) could be persuaded if they knew it was safe to eat and 11% if they looked appetising.
Simmons Foods has revealed plans for a $100 million expansion of its prepared foods operation located at 2101 Twin Circle Drive in Van Buren, Arkansas.
Joel Sappenfield, president of Simmons Prepared Foods, said: “This investment will create 100 new jobs, including highly skilled positions to support robotics and automation processes. The expansion will also support growth in the local economy and assist in meeting market demand for one of the fastest growing segments of the business – cooked products.”
The project will add 65,000 square feet to the existing plant to make way for two new highly automated production and packaging lines. The plans also include enhanced interior spaces for team members and improved traffic flow in and around the site.
The company expects to break ground on the project this month and have production online by the first quarter of 2023. Nabholz Construction will serve as the general contractor on the build.
Sappenfield added: “We’re excited to build on our success in the region. Our River Valley team is an important part of our company’s total operations. We have three production locations here in the River Valley as well as a Hiring Center and a Simmons Care Clinic dedicated to providing medical care with no added co-pays exclusively for our team members and their covered dependents.”
Simmons currently employs approximately 600 full-time team members at this location. The operation consists of three production lines, producing approximately 110 million pounds of fully cooked, premium chicken products annually. The expansion will increase annual production capacity by approximately 100 million pounds.