This month, let’s talk about agriculture, crops and all things related to food!
If there’s one thing that a global pandemic has shown us - it’s how interconnected our supply chains are, especially in the food sector. For most people these days, getting groceries means going to a well-stocked market or food cart and getting fruits, vegetables and other standard supplies from there. We seldom go to the field or orchards or farms to get our food directly from the suppliers. And in general, the supply chains are so well oiled that we rarely run into issues about food not being available - as long as you’re able to pay for it!
The pandemic revealed several aspects of our food system - where our favorite foods come from, how crops are grown, how animals are raised, who harvests and processes our food - and how these systems are so closely connected to each other that impacts on any part of the chain have an effect on the availability of food many miles away.
Pre-pandemic, there was already a trend towards automation and integration of data services in agriculture. In fact, in many developed countries, farming equipment such as tractors and combines already had several sensors and were collecting data about management practices such as fertilization and soil conditions (nitrogen, phosphorus and moisture) among others. The biggest challenge with all the data collected on the farm is that the data tend to be siloed. So, data collected about seed spreading on a field using a tractor often can’t be connected easily to weather data from the weather station or irrigation data from the irrigation system. That makes it difficult for farmers to see all that’s happening on the farm easily! And if you add in finances which are usually kept either on paper or in spreadsheets - you can see that there’s a plethora of data that are useful but difficult to integrate at the farm level.
So, integrating different data sources and managing farm operations are among the first problems that startups working at the intersection of data science and agriculture have tackledover the last 5-10 years. Now of course, we have the pandemic - which has impacted the availability of agricultural labor. That means that the trend towards automating farm labor in terms of including robotic weeding and harvesting tools has intensified, with large companies now moving towards using these robots more often and in larger fields. At the same time, we have a shift towards localization of food supply as people faced empty supermarket shelves and the increased possibility of contaminated food. So, there’s been more interest in vertical farms, local farms and building online marketplaces that connect local farmers with interested buyers.
And, we’re seeing impacts from climate change on the food supply - in terms of changing weather conditions with unseasonal rains, heat waves and droughts, increased predation from pests, loss of beneficial pollinators - a whole suite of issues that are negatively impacting crop yields in many parts of the world. All this is driving governments and farmers in many countries to try and figure out what’s happening and how to best adapt to the changes in store for us. And this is especially true in India, China, Brazil, Argentina, Kenya, South Africa and several other developing countries - where data science, automation, blockchain and increased,easy access to information are helping farmers prepare their fields,sow their crops and sell the produce more transparently and efficiently.
The future certainly looks very interesting in terms of how and where data science is being used in different clean tech sectors. As we’re seeing these shifts happen, the skills and knowledge that will be needed by farmers, agronomists and engineers working in these sectors also change and professionals are trying to keep up with the latest technology and methods. And that’s where companies like ours come in - where we help people gain the skills they need and keep up with the latest research and news at the intersection of these sectors. So, if that’s something that you’re interested in -take a look at our free and paid courses here on our courses website.
The last couple of months have been interesting from a climate viewpoint - we’ve seen a record number of climate related disasters around the globe - drought, floods, fires, heat waves…..and it looks like this is probably going to be what our planet will look like in the near future. Add to that the COP26 conference that is scheduled for October 31st - and climate, sustainability and technology are front page news! So, let’s talk about one of the technologies in the news - artificial intelligence (AI) and its impact on climate, water, agriculture, energy, forestry, ecosystems and other sectors in clean technology . AI and its subset of tools - machine learning (ML), data science and statistics - are being touted as one of the key technologies in solving the problems facing the planet today. And while these technologies are certainly powerful - applying them effectively to solve problems in clean tech is another issue altogether. AI has been used by scientists in different clean tech se
We're in the processes of building a couple of fantastic new offerings that many folks in our community have asked for - so blog posts will be limited for a few months. Our jobs portal will still be updated regularly to make sure that all our members can keep up with what's happening in the sector. We can't wait to share what's happening at our end!
Every Earth Day we hear from companies around the world about their sustainability efforts - the gallons of water they have saved, the reductions in energy use, the systems they have converted from fossil-fuel to renewable energy, the ecosystems they have restored and, more recently the amount of carbon they have offset. On the face of it, these are amazing and hopeful numbers - the very fact that corporations are paying so much attention to sustainability and the environment is testament to the fact that consumer and citizen pressure is yielding results. In fact, with every successive year, it seems that companies and organizations are able to sequester more carbon, minimize greenhouse gas emissions and thus mitigate climate change. What allows companies to make these claims - especially with respect to carbon and greenhouse gas emissions? The way that most companies claim these credits is through carbon markets or “cap and trade” programs. In these programs, a community or a no