You’re looking to streamline your agribusiness. What are the most user-friendly precision agriculture tools?

In my experience over time, the following are the most user-friendly Global Positioning and Geographic Information Systems for agribusiness operations: 1. Trimble GPS Guidance Systems: Trimble offers user-friendly GPS guidance systems that can be integrated with tractors and other farm equipment. They provide accurate navigation and reduce overlap in field operations. 2. John Deere StarFire Receivers: John Deere's StarFire receivers offer high-precision GPS technology for accurate positioning and guidance in the field.

Na minha experiência ao longo do tempo , aplicativos e plataformas móveis integrados aos ERP , elimina quase ou em alguns casos 100% dos apontamentos manuais nas opera??es agrícolas , além de oferecer a possibilidades de reunir em plataformas temporários para analises e conferencias antes de abastecer os sistemas de forma definitiva .o grande ganho aqui é eliminar os papéis , as famosas pranchetas em campo e integra??o rápida para que a Gest?o possa tomar decis?es mais assertivas e maior agilidade .

Precision ag owes its boom to user-friendly GPS & GIS. Real-time field mapping, insightful data layers, and intuitive interfaces empower farmers. Imagine: targeted fertilizer application, optimized irrigation, and yield forecasting at your fingertips. These user-friendly tools are revolutionizing agriculture, one data-driven decision at a time.

Inspiration and creativity are indeed crucial for innovation. John Deere's Precision Agriculture initiatives began shaping farming practices in the late 20th century, integrating technologies like GPS guidance, telematics, and remote sensing into their equipment. Another standout example in the agriculture sector is Aquabyte. The cutting-edge technology, driven by artificial intelligence, has redefined the landscape of aquaculture with its innovative solutions and transformative impact. Computer Vision: Precise fish monitoring for behavior and health Machine Learning: Processes vast aquaculture data Fish Health Monitoring: Constant health checks and alerts Feed Optimization: Smart feeding reduces waste

For user-friendly precision agriculture tools, consider Trimble's Farmer Pro, offering easy-to-use mapping and data management, and John Deere's Operations Center, providing seamless connectivity for monitoring and managing farm operations with user-friendly interfaces.

As ferramentas de IoT permitem o acompanhamento da produ??o animal sob vários aspectos que possibilitam melhor compreens?o desse processo. Na minha opini?o, a ferramenta tem um potencial disruptivo já que pode mudar completamente a forma como é feita atualmente, sobretudo na qualidade da assistência técnica e manejos necessários a serem adotados pelos produtores. Nesse sentido, o grande desafio, é entender o que de fato impacta e auxilia na melhoria da produtividade e bem estar animal, separando das variáveis que apenas s?o monitoradas e podem atrapalhar nesse processo de entendimento e tomada de decis?o.

In agricultural production, knowing the moisture content, temperature, pH and humidity of the planting medium or animal house is important for optimal production. I'll recommend the following: 1. Davis Instruments Weather Stations: Davis Instruments provides weather stations that are easy to set up and offer real-time data on temperature, humidity, wind speed, and other environmental factors. 2. Decagon Devices (now Meter Group) Soil Moisture Sensors: These sensors provide real-time soil moisture data, helping farmers optimize irrigation practices. They are known for their ease of use and accuracy.

One of the most critical aspects of agricultural production is the soil moisture. Monitoring of the water in the soil is critical to assess how the plant is utilizing the water at different depths, from this perspective, Frequency Domain Reflectometry (FDR) sensors should be preferred over Time Domain Reflectometry (TDR) sensors. This is because an FDR sensor measure the moisture in the volume of soil surrounding them, while an TDR sensor only measure the moisture in the soil between the fork teeth. Agranimo is one company that have in the last years incorporated to the market a novel, trustworthy FDR sensor, that proven useful in agricultural production.

In agricultural activities is important to consider the plant health, One of the sensor used and I have observed it is GreenSeeker handheld crop sensor?this is from Trimble which used to describe the plant health or vigour of the plant and help in determining the amount and kind of fertilizer to be used.

Cuando hablamos de agricultura de precisión es muy común que esta definición sea ambigua. Por ejemplo, para poder tomar decisiones precisas en la cosecha, invertimos en una cosechadora que cuesta unos u$s 600.000. Y que dismpone de no menos de 160 sensores. Esto equivale a tener 4 sensores por hectárea en campos donde la hectárea cuesta u$s 15.000. Pero a la hora de tomar decisiones sobre sembrar o aplicar un herbicida pre emergente. ?Cuantos sensores por hectárea tenés desplegados a campo?

From my experience on the field, monitoring of activities in large farms can be demanding and less thorough but with drones and cameras more can be achieved with less time, it may only demand a higher initial investment. Examples of drones and cameras that are more user-friendly for agribusinesses are: 1. DJI Agras Series Drones: DJI's Agras series drones are designed for agriculture applications, including crop monitoring and spraying. They are equipped with advanced imaging technology for data collection. 2. Parrot Anafi USA Drone: Parrot Anafi USA is a compact and user-friendly drone with advanced camera capabilities. It can be used for crop scouting and monitoring.

Drones combined with adequate surveying capacity and softwares have become invaluable tools for precision agriculture. Another key area is the use of drones for natural input application: natural pesticides, organic manure, effective microorganisms… They can contribute to a more environmentally-friendly agriculture that moves away from detrimental chemical inputs and could help millions of farmers transition to 100% natural, organic, and regenerative farming.

Scanners and Remote Sensoring, with full focus on Soil Organic Matter. 95% of today's issues in agriculture are a result and consequence of drastically reduced SOM content. Increasing that percentage with compost, cover crops and mulch is the short cut to rapid increased yields, strongly reduced synthetic input spenditures and bottom-line increased farmers livelihoods. That is my believe.

Agriculture soars into the future with drones & camera tech! These user-friendly tools empower farmers: Precise scouting: Monitor crops, map fields, and identify issues like pests or diseases with aerial eyes. Targeted treatments: Apply pesticides and fertilizers only where needed, saving resources and protecting the environment. Yield optimization: Track plant health, growth, and harvest readiness for maximized production. Smart irrigation: Allocate water efficiently based on real-time data, preventing waste and boosting water security. From sky to soil, drones and cameras are transforming agribusiness, making it more efficient, profitable, and sustainable. Let's embrace this friendly revolution!

Please check out #AgroCares SoilCares and #SoilCastor. By #Bayer selected as most accurate and most scalable!! Carbon Monitoring

1. IBM Watson Decision Platform for Agriculture: IBM Watson offers an AI-powered platform for agriculture that integrates weather, IoT, and satellite data. It provides actionable insights for decision-making. 2. Microsoft Azure FarmBeats: Azure FarmBeats is a platform that leverages cloud computing and AI to enable data-driven agriculture. It assists with data aggregation, analysis, and visualization.

It is possible to write new stories in agriculture with cloud computing and artificial intelligence technology. Past term questions can be reconstructed with accurate data flow and a wide network covering cities and regions according to farming styles. Artificial intelligence-supported solutions can be offered for farmers who need new ideas. For example, a farmer who is undecided about fertilizer can choose from here the most preferred fertilizers of that year or those suitable for the soil values or the product he intends to plant.

Agriculture is now in the early stages of yet another revolution, with data and connection at the center. Artificial intelligence, analytics, linked sensors, and other developing technologies could boost yields, enhance water and other input efficiencies, and promote sustainability and resilience in crop production and other areas of agriculture. However, none of this is possible without a good IT network infrastructure. According to an analysis performed by McKinsey, if agricultural connectivity is successfully implemented, the industry might add $500 billion to the global gross domestic product by 2030. This would represent a 7 to 9 percent increase over the predicted total and would relieve much of the current pressure on farmers.

Hoy en día las mayoría de las Apps y webs usadas en el agro, nos ayudan a ver que le pasó al cultivo, o por qué pasó tal situación. O en el mejor de los casos, gracias al reporte en tiempo real de sensores desplegados a campo (IoT) o con imágenes setelitales o de drones, podemos ver el cultivo en vivo, algo así como disponer de un comentarista de la realidad. No es algo que no tenga importancia. Pero el verdadero valor de la inteligencia artifical, es poder predecir el futuro atraves de algoritmos basados en datos propios.

Computa??o em nuvem e AI s?o para empresas que já est?o um nível de maturidade analítica mas alto e tem capital para investir. Principalmente se falarmos de sistemas integrados. O ROI / Payback deve ser calculado para avaliar se vale a pena. Contudo, empresas menores podem usufruir de sistemas mais básicos como por exemplo o chat GPT principalmente quando o desafio é gerar texto para um determinando público.

Está cada vez mais claro que precisamos automatizar processos para dedicarmos mais temo na análise e tomada de decis?o. Dentro de atividades de agronegócio, muitas op??es tem surgido com objetivo de padronizar coleta de informa??es, gerar históricos confiáveis, auxiliar no direcionamento para tomada de decis?o e auxiliar gestores em seu dia a dia. Estar preparado para interpretar e lidar com essas tecnologias será um grande desafio, mas também uma grande oportunidade para todos envolvidos nesse elo.

Mobile Apps and platforms can be used to create a virtual filing system or what I call a virtual office for your agribusiness. Here, you can document your farm processes, draft SOPs, keep farm records, create farm budgets and effectively plan out your farm and agribusiness operations.

Mobile apps and platforms can be amazing sources of information. They allow us to record real time data in field and give farmers new information in real time. We must be careful however as to how many apps and platforms we use and make sure that the ones we do subscribe to are used effectively. Too much data can be a waste and can hold you back from looking at the really important data. Choose your platforms wisely and work out exactly what you are trying to achieve with data before you dive in.

To achieve successful agribusiness goals, having a digital tool for developing a business plan is essential for farmers. Without a plan, farmers cannot effectively engage in agribusiness.

Context is important. In Africa in particular, where most of the small holder farmers are the majority and in the older age groups, simplified solutions like mobile applications and platforms would be more likely adopted.

Precision agriculture solutions are just tools that become valuable in the hands of the skilled expert. Used incorrectly these tools can become a burden on the team and can bring little positive outcome in the business. One such example is commonly seen around the world is the data that just stays ignored in a database after it has been collected. A sound, complete data analysis strategy is usually the missing link between the data collection activity and the end goal of improving profitability through better decision-making, prescriptions and recommendations. The role of the data analyst that is able to leverage tools like A.I. will become key in all medium-large farms and agribusiness companies.

My expertisse is in bio-herbicides. We take from plants natural chemicals that kill weed species. Are we going to use a natural chemicals to create weed species resistant to biologicals? We will kick the same stone twice. The biologicals will be regulated by the market so that we are going to use the best cost-benefit bio-herbicide ratio? The same stone in our road. Should drones help us to kill specific weeds instead to spray the biologicals in areas where they are not needed? Is the environment part of the economic profit equation? Of course not. No one is considering how much money should be use to restore the environment we use to produce. Who is the owner of the environment? The owner of the land or the humand kind? Many questions.

Sharing information with our primary food producer I will suggest we consider podcasts, animation, and farm visit extension experience.

Actually data collected may become a burden if they are left without being used to make agricultural decisions so correcting the gap effective data analysis is crusual and this can be easily aided with artificial intelligence

Consider your greatest problem (i.e. water leaks, moving around the property to switch on things that could be controlled remotely or to monitor things that could have a sensor) and solve those things with tech. Tech for techs sake is just another chore.